Ying Ding - RankMe

363 papers A* 16A 9B 4C 2Misc 5Journal 234Unranked 79

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Agent-Enhanced Heterogeneous Graph RAG for Academic Question Answering. WWW Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang
2026	J	`jnl`	Automated Thematic Analysis for Clinical Qualitative Data: Iterative Codebook Refinement with Full Provenance. CoRR Seungjun Yi, Joakim Nguyen, Huimin Xu, Terence Lim, Joseph Skrovan, Mehak Beri, Hitakshi Modi, Andrew Well, Carlos M. Mery, Yan Zhang, Mia K. Markey, Ying Ding
2026	J	`jnl`	Choosing How to Remember: Adaptive Memory Structures for LLM Agents. CoRR Mingfei Lu, Mengjia Wu, Feng Liu, Jiawei Xu, Weikai Li, Haoyang Wang, Zhengdong Hu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2026	J	`jnl`	Empowering the next generation: How team hierarchy relates to junior researcher retention. J. Informetrics Huimin Xu, Yi Bu, Meijun Liu, Ying Ding
2026	A*	`conf`	From Newborn to Impact: Bias-Aware Citation Prediction. WWW Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2026	J	`jnl`	PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification. CoRR Jian Yu, Joakim Nguyen, Jinrui Fang, Awais Naeem, Zeyuan Cao, Sanjay Krishnan, Nicholas Konz, Tianlong Chen, Chandra Krishnan, Hairong Wang, Edward Castillo, Ying Ding, Ankita Shukla
2026	J	`jnl`	Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline. CoRR Jiawei Xu, Arief Koesdwiady, Sisong Bei, Yan Han, Baixiang Huang, Dakuo Wang, Yutong Chen, Zheshen Wang, Peihao Wang, Pan Li, Ying Ding
2026	J	`jnl`	SDoH-GPT: using large language models to extract social determinants of health. J. Am. Medical Informatics Assoc. Bernardo Consoli, Haoyang Wang, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding
2025	J	`jnl`	A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health. CoRR Song Wang, Yishu Wei, Haotian Ma, Max Lovitt, Kelly Deng, Yuan Meng, Zihan Xu, Jingze Zhang, Yunyu Xiao, Ying Ding, Xuhai Xu, Joydeep Ghosh, Yifan Peng
2025	J	`jnl`	Adapting to LLMs: How Insiders and Outsiders Reshape Scientific Knowledge Production. CoRR Huimin Xu, Houjiang Liu, Yan Leng, Ying Ding
2025	J	`jnl`	An Explainable Artificial Intelligence Approach Using Graph Learning to Predict Intensive Care Unit Length of Stay. Inf. Syst. Res. Tianjian Guo, Indranil R. Bardhan, Ying Ding, Shichang Zhang
2025	J	`jnl`	Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning. CoRR Seungjun Yi, Joakim Nguyen, Huimin Xu, Terence Lim, Andrew Well, Mia K. Markey, Ying Ding
2025	J	`jnl`	Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI. CoRR Jiawei Xu, YongGeon Lee, Anthony Elkommos Youssef, Eunjin Yun, Tinglin Huang, Tianjian Guo, Hamidreza Saber, Rex Ying, Ying Ding
2025	J	`jnl`	CARE-RAG - Clinical Assessment and Reasoning in RAG. CoRR Deepthi Potluri, Aby M. Mathew, Jeffrey B. DeWitt, Alexander L. Rasgon, Yide Hao, Junyuan Hong, Ying Ding
2025	J	`jnl`	Decoding Patterns of Data Generation Teams for Clinical and Scientific Success: Insights from the Bridge2AI Talent Knowledge Graph. CoRR Jiawei Xu, Qingnan Xie, Meijun Liu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Yue Chen, Ying Ding
2025	J	`jnl`	Demo: Interactive Visualization of Semantic Relationships in a Biomedical Project's Talent Knowledge Graph. CoRR Jiawei Xu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Yue Chen, Ying Ding
2025	—	`conf`	Equal Truth: Rumor Detection with Invariant Group Fairness. EMNLP (Findings) Junyi Chen, Mengjia Wu, Qian Liu, Jing Sun, Ying Ding, Yi Zhang
2025	J	`jnl`	From Newborn to Impact: Bias-Aware Citation Prediction. CoRR Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2025	J	`jnl`	Gender differences in dropout rate: From field, career status, and generation perspectives. J. Informetrics Yunhan Yang, Chenwei Zhang, Huimin Xu, Yi Bu, Meijun Liu, Ying Ding
2025	—	`conf`	GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. NAACL (Long Papers) Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu
2025	J	`jnl`	GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. CoRR Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu
2025	J	`jnl`	HetGCoT-Rec: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Journal Recommendation. CoRR Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang
2025	—	`conf`	HetGCoT: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Academic Question Answering. EMNLP (Findings) Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang
2025	J	`jnl`	Interactive Graph Visualization and TeamingRecommendation in an Interdisciplinary Project'sTalent Knowledge Graph. CoRR Jiawei Xu, Juichien Chen, Yilin Ye, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Y. Chen, Ying Ding
2025	J	`jnl`	LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease. CoRR Muhammad Zain Raza, Jiawei Xu, Terence Lim, Lily Boddy, Carlos M. Mery, Andrew Well, Ying Ding
2025	A*	`conf`	Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. AAAI Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding
2025	J	`jnl`	Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. CoRR Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding
2025	A*	`conf`	MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. EMNLP Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding
2025	J	`jnl`	MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. CoRR Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding
2025	J	`jnl`	Position: Open and Closed Large Language Models in Healthcare. CoRR Jiawei Xu, Ying Ding, Yi Bu
2025	J	`jnl`	Position: Thematic Analysis of Unstructured Clinical Transcripts with Large Language Models. CoRR Seungjun Yi, Joakim Nguyen, Terence Lim, Andrew Well, Joseph Skrovan, Mehak Beri, YongGeon Lee, Kavita Radhakrishnan, Liu Leqi, Mia K. Markey, Ying Ding
2025	J	`jnl`	Quantifying the dynamics of research teams' academic diversity. J. Assoc. Inf. Sci. Technol. Alex Jie Yang, Star X. Zhao, Sanhong Deng, Meijun Liu, Yi Bu, Ying Ding
2025	J	`jnl`	SFT-TA: Supervised Fine-Tuned Agents in Multi-Agent LLMs for Automated Inductive Thematic Analysis. CoRR Seungjun Yi, Joakim Nguyen, Huimin Xu, Terence Lim, Joseph Skrovan, Mehak Beri, Hitakshi Modi, Andrew Well, Liu Leqi, Mia K. Markey, Ying Ding
2025	J	`jnl`	TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews. CoRR Huimin Xu, Seungjun Yi, Terence Lim, Jiawei Xu, Andrew Well, Carlos M. Mery, Aidong Zhang, Yuji Zhang, Heng Ji, Keshav Pingali, Yan Leng, Ying Ding
2025	J	`jnl`	Teaching with Lies: Curriculum DPO on Synthetic Negatives for Hallucination Detection. CoRR Shrey Pandit, Ashwin Vinod, Liu Leqi, Ying Ding
2025	—	`conf`	Thought Graph: Balancing Specificity and Uncertainty in LLM-Based Gene Set Annotation. ICHI Kyle Cox, Gang Qu, Chi-Yang Hsu, Jiawei Xu, Yingtong Zhou, Zhen Tan, Mengzhou Hu, Tianlong Chen, Ziniu Hu, Zhongming Zhao, Ying Ding
2024	J	`jnl`	All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian
2024	J	`jnl`	An editorial of "AI + informetrics": Robust models for large-scale analytics. Inf. Process. Manag. Yi Zhang, Chengzhi Zhang, Philipp Mayr, Arho Suominen, Ying Ding
2024	—	`conf`	Analyzing Social Factors to Enhance Suicide Prevention Across Population Groups. ICHI Richard Li Xu, Song Wang, Zewei Wang, Yuhan Zhang, Yunyu Xiao, Jyotishman Pathak, David Hodge, Yan Leng, S. Craig Watkins, Ying Ding, Yifan Peng
2024	—	`conf`	Biomedical Association Inference on Pandemic Kowledge Graphs: A Comparative Study. EEKE/AII@iConference Mengjia Wu, Chao Yu, Jian Xu, Ying Ding, Yi Zhang
2024	J	`jnl`	CancerGPT for few shot drug pair synergy prediction using large pretrained language models. npj Digit. Medicine Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim
2024	—	`conf`	Causal Inference in Science of Science. JCDL Yi Bu, Meijun Liu, Zaida Chinchilla-Rodríguez, Ying Ding
2024	—	`conf`	DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. EMNLP (Findings) Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen
2024	J	`jnl`	DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen
2024	—	`conf`	Decoding Patterns of Data Generation Teams for Clinical and Scientific Success: Insights from the Bridge2AI Talent Knowledge Graph. JCDL Jiawei Xu, Qingnan Xie, Meijun Liu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Y. Chen, Ying Ding
2024	J	`jnl`	Female-led teams produce more innovative ideas yet receive less scientific impact. Quant. Sci. Stud. Alex Jie Yang, Ying Ding, Meijun Liu
2024	—	`conf`	Flat Structures Foster Minority Inclusion in Diverse Scientific Teams. JCDL Huimin Xu, Ying Ding
2024	J	`jnl`	How high-status women promote repeated collaboration among women in male-dominated contexts. CoRR Huimin Xu, Jamie Strassman, Ying Ding, Steven Gray, Maytal Saar-Tsechansky
2024	J	`jnl`	Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning. CoRR Mingquan Lin, Tianhao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng
2024	J	`jnl`	Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare. CoRR Tianqi Shang, Weiqing He, Tianlong Chen, Ying Ding, Huanmei Wu, Kaixiong Zhou, Li Shen
2024	—	`conf`	Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering. ML4H@NeurIPS Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding
2024	J	`jnl`	Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering. CoRR Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding
2024	—	`ed.`	Proceedings of Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024) co-located with the ( iConference2024), Changchun, China and Online, April 23-24, 2024. EEKE/AII@iConference Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen, Ying Ding
2024	J	`jnl`	PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science. CoRR Jian Xu, Chao Yu, Jiawei Xu, Ying Ding, Vetle I. Torvik, Jaewoo Kang, Mujeen Sung, Min Song
2024	—	`conf`	Quantifying Scientific Novelty of Doctoral Theses with Bio-BERT Model. EEKE/AII@iConference Alex Jie Yang, Yi Bu, Ying Ding, Meijun Liu
2024	J	`jnl`	SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). CoRR Bernardo Consoli, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding
2024	J	`jnl`	The impact of heterogeneous shared leadership in scientific teams. Inf. Process. Manag. Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding
2024	J	`jnl`	The prominent and heterogeneous gender disparities in scientific novelty: Evidence from biomedical doctoral theses. Inf. Process. Manag. Meijun Liu, Zihan Xie, Alex Jie Yang, Chao Yu, Jian Xu, Ying Ding, Yi Bu
2024	—	`conf`	Thought Graph: Generating Thought Process for Biological Reasoning. WWW (Companion Volume) Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding
2024	J	`jnl`	Thought Graph: Generating Thought Process for Biological Reasoning. CoRR Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding
2024	—	`conf`	Towards Instructing Disease-Drug Link Prediction with Social Determinants of Health. BCB Yashaswi Galhotra, Ying Ding, Li Shen, Huanmei Wu, Tianlong Chen, Kaixiong Zhou
2024	—	`conf`	Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting. WWW (Companion Volume) Yan Han, Kaiqi Chen, Shan Li, Ji Yan, Baoxu Shi, Lei Zhang, Fei Chen, Jaewon Yang, Yunpeng Xu, Xiaoqiang Luo, Qi He, Ying Ding, Zhangyang Wang
2024	J	`jnl`	Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue. CoRR Junyi Chen, Mengjia Wu, Qian Liu, Ying Ding, Yi Zhang
2024	J	`jnl`	Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes. CoRR Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng
2024	J	`jnl`	Unveiling the dynamics of team age structure and its impact on scientific innovation. Scientometrics Alex Jie Yang, Huimin Xu, Ying Ding, Meijun Liu
2024	J	`jnl`	Unveiling the loss of exceptional women in science. Inf. Process. Manag. Yunhan Yang, Chenwei Zhang, Huimin Xu, Yi Bu, Meijun Liu, Ying Ding
2023	—	`conf`	3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023). WWW (Companion Volume) Angelo Antonio Salatino, Yi Bu, Ying Ding, Ágnes Horvát, Yong Huang, Meijun Liu, Paolo Manghi, Andrea Mannocci, Francesco Osborne, Daniel M. Romero, Dimitris Sacharidis, Misha Teplitskiy, Thanasis Vergoulis, Feng Xia, Yujia Zhai
2023	J	`jnl`	An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives. J. Am. Medical Informatics Assoc. Song Wang, Yifang Dang, Zhaoyi Sun, Ying Ding, Jyotishman Pathak, Cui Tao, Yunyu Xiao, Yifan Peng
2023	J	`jnl`	An empirical study of using radiology reports and images to improve ICU mortality prediction. CoRR Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng
2023	J	`jnl`	Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. CoRR Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding
2023	A	`conf`	Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. WACV Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
2023	J	`jnl`	CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models. CoRR Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xianqian Jiang, Ying Ding, Yejin Kim
2023	—	`ed.`	Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 WWW (Companion Volume) Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben
2023	—	`conf`	Cross-Team Collaboration and Diversity in the Bridge2AI Project. WWW (Companion Volume) Huimin Xu, Chitrank Gupta, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Y. Chen, Ying Ding
2023	—	`conf`	Disparity in the Evolving COVID-19 Collaboration Network. iConference (1) Huimin Xu, Redoan Rahman, Ajay Jaiswal, Julia Fensel, Abhinav Peri, Kamesh Peri, Griffin M. Weber, Ying Ding
2023	J	`jnl`	Disparity in the Evolving COVID-19 Collaboration Network. CoRR Huimin Xu, Redoan Rahman, Ajay Jaiswal, Julia Fensel, Abhinav Peri, Kamesh Peri, Griffin M. Weber, Ying Ding
2023	J	`jnl`	Evaluating large language models on medical evidence summarization. npj Digit. Medicine Liyan Tang, Zhaoyi Sun, Betina Ross S. Idnay, Jordan G. Nestor, Ali Soroush, Pierre A. Elias, Ziyang Xu, Ying Ding, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng
2023	J	`jnl`	Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. IEEE Data Eng. Bull. Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang
2023	A*	`conf`	Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. ICML Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. CoRR Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Has China caught up to the US in AI research? An exploration of mimetic isomorphism as a model for late industrializers. CoRR Chao Min, Yi Zhao, Yi Bu, Ying Ding, Caroline S. Wagner
2023	J	`jnl`	How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? CoRR Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang
2023	—	`conf`	How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? MICCAI (5) Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang
2023	A*	`conf`	Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. ICML Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. CoRR Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	—	`conf`	International Workshop on Digital Twins for Smart Health. WWW (Companion Volume) Jun Deng, Ying Ding, Luke Achenie, Jinwei Liu, Shimei Pan, Sanjay Purushotham, Huanmei Wu, Qi Wang
2023	—	`conf`	JCDL2023 Workshop: Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023). JCDL Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen, Ying Ding
2023	—	`conf`	Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
2023	J	`jnl`	Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
2023	—	`conf`	Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction. ICHI Tingyi Wanyan, Mingquan Lin, Ying Ding, Benjamin S. Glicksberg, Fei Wang, Yifan Peng
2023	—	`ed.`	Proceedings of Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023) co-located with the JCDL 2023, Santa Fe, New Mexico, USA and Online, 26 June, 2023. EEKE/AII@JCDL Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen, Ying Ding
2023	A*	`ed.`	Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 WWW Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben
2023	J	`jnl`	Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. IEEE Trans. Medical Imaging Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang
2023	J	`jnl`	The Impact of Heterogeneous Shared Leadership in Scientific Teams. CoRR Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding
2023	J	`jnl`	Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality. CoRR Li Shi, Redoan Rahman, Esther Melamed, Jacek Gwizdka, Justin F. Rousseau, Ying Ding
2023	A*	`conf`	Vision HGNN: An Image is More than a Graph of Nodes. ICCV Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang
2022	Misc	`conf`	Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. AMIA Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding
2022	J	`jnl`	Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. CoRR Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Beyond correlation: Towards matching strategy for causal inference in Information Science. J. Inf. Sci. Xianlei Dong, Jiahui Xu, Yi Bu, Chenwei Zhang, Ying Ding, Beibei Hu, Yang Ding
2022	J	`jnl`	Contributorship in scientific collaborations: The perspective of contribution-based byline orders. Inf. Process. Manag. Chao Lu, Chenwei Zhang, Chengrui Xiao, Ying Ding
2022	—	`conf`	Cross-Regional Analysis of the Aging Phenomenon of Biomedical Scholars. iConference (1) Tongyang Zhang, Jiexun Wu, Zhiwei Ye, Ying Ding, Jian Xu
2022	—	`conf`	EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng
2022	—	`conf`	Elapsed Collective Memory: Looking for the Forgotten Classic Works in Library and Information Science. iConference (1) Yujia Zhai, Alec McGail, Ying Ding
2022	J	`jnl`	Further divided gender gaps in research productivity and collaboration during the COVID-19 pandemic: Evidence from coronavirus-related literature. J. Informetrics Meijun Liu, Ning Zhang, Xiao Hu, Ajay Jaiswal, Jian Xu, Hong Chen, Ying Ding, Yi Bu
2022	A*	`conf`	International Workshop on Data-driven Science of Science. KDD Yi Bu, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia, Daniel E. Acuña, Yi Zhang
2022	A*	`conf`	International Workshop on Knowledge Graphs: Open Knowledge Network. KDD Ying Ding, Amit P. Sheth, Krzysztof W. Janowicz, Sergio Baranzini, Sharat Israni, Ilkay Altintas, Lilit Yeghiazarian, Ellie Young, Sam Klein
2022	J	`jnl`	Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination. BMC Bioinform. Jeremy J. Yang, Christopher Gessner, Joel Duerksen, Daniel Biber, Jessica L. Binder, Murat Ozturk, Brian Foote, Robin McEntire, Kyle Stirling, Ying Ding, David J. Wild
2022	A	`conf`	Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. WACV Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang
2022	A*	`conf`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. CoRR Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Pandemics are catalysts of scientific novelty: Evidence from COVID-19. J. Assoc. Inf. Sci. Technol. Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard B. Freeman, Eric T. Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Chao Min, Min Song, Yujia Zhai, Ying Ding
2022	J	`jnl`	Prior Knowledge Enhances Radiology Report Generation. CoRR Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng
2022	Misc	`conf`	Prompt-based Learning for Assertion Classification in Clinical Notes. AMIA Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng
2022	—	`conf`	Radiology Text Analysis System (RadText): Architecture and Evaluation. ICHI Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng
2022	J	`jnl`	Radiology Text Analysis System (RadText): Architecture and Evaluation. CoRR Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng
2022	J	`jnl`	Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. CoRR Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang
2022	J	`jnl`	Reply to issues about entitymetrics and paper-entity citation network. Scientometrics Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu
2022	A*	`conf`	RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. ICDM Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
2022	J	`jnl`	RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. CoRR Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
2022	—	`conf`	Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng
2022	J	`jnl`	Team formation and team impact: The balance between team freshness and repeat collaboration. J. Informetrics Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding
2022	J	`jnl`	Team formation and team performance: The balance between team freshness and repeat collaboration. CoRR Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding
2022	J	`jnl`	Team power dynamics and team impact: New perspectives on scientific collaboration using career age as a proxy for team power. J. Assoc. Inf. Sci. Technol. Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric T. Meyer, Eduardo Salas, Ying Ding
2022	J	`jnl`	The Gene of Scientific Success. CoRR Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia
2022	A*	`conf`	Training Your Sparse Neural Network Better with Any Mask. ICML Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Training Your Sparse Neural Network Better with Any Mask. CoRR Ajay Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Trustworthy assertion classification through prompting. J. Biomed. Informatics Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng
2021	J	`jnl`	A dataset of mentorship in science with semantic and demographic estimations. CoRR Qing Ke, Lizhen Liang, Ying Ding, Stephen V. David, Daniel E. Acuna
2021	—	`conf`	An empirical study of using radiology reports and images to improve ICU-mortality prediction. ICHI Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng
2021	J	`jnl`	Analyzing knowledge entities about COVID-19 using entitymetrics. Scientometrics Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu
2021	—	`conf`	Biomedical Knowledge Graph Refinement and Completion Using Graph Representation Learning and Top-K Similarity Measure. iConference (1) Islam Akef Ebeid, Majdi Hassan, Tingyi Wanyan, Jack Roper, Abhik Seal, Ying Ding
2021	J	`jnl`	Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data. CoRR Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S. Glicksberg
2021	—	`conf`	Building the COVID-19 Portal By Integrating Literature, Clinical Trials, and Knowledge Graphs. JCDL Aoshen Wan, Yan Zhan, Sanjana Tripathi, Jiarong Yang, Mona Sachdev, Shreya Paithankar, Joel Duerksen, Bin Chen, Ying Ding
2021	J	`jnl`	Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
2021	J	`jnl`	Contrastive learning improves critical event prediction in COVID-19 patients. Patterns Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
2021	J	`jnl`	Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. CoRR Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang
2021	J	`jnl`	Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records. Data Intell. Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2021	J	`jnl`	Exploring direct citations between citing publications. J. Inf. Sci. Yong Huang, Yi Bu, Ying Ding, Wei Lu
2021	J	`jnl`	Identifying citation patterns of scientific breakthroughs: A perspective of dynamic citation process. Inf. Process. Manag. Chao Min, Yi Bu, Ding Wu, Ying Ding, Yi Zhang
2021	J	`jnl`	Innovation adoption: Broadcasting versus virality. J. Assoc. Inf. Sci. Technol. Yujia Zhai, Ying Ding, Hezhao Zhang
2021	J	`jnl`	Innovation adoption: Broadcasting vs. Virality. CoRR Yujia Zhai, Ying Ding, Hezhao Zhang
2021	A*	`conf`	International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and Applications. KDD Ying Ding, Bogdan G. Arsintescu, Ching-Hua Chen, Haoyun Feng, François Scharffe, Oshani Seneviratne, Juan Sequeda
2021	J	`jnl`	Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements. IEEE Trans. Big Data Yan Leng, Yujia Zhai, Shaojing Sun, Yifei Wu, Jordan Selzer, Sharon Strover, Hezhao Zhang, Anfan Chen, Ying Ding
2021	J	`jnl`	On the relationship between download and citation counts: An introduction of Granger-causality inference. J. Informetrics Beibei Hu, Yang Ding, Xianlei Dong, Yi Bu, Ying Ding
2021	J	`jnl`	Partitioning highly, medium and lowly cited publications. J. Inf. Sci. Yong Huang, Yi Bu, Ying Ding, Wei Lu
2021	—	`conf`	Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning. ISBI Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng
2021	J	`jnl`	Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning. CoRR Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng
2021	—	`conf`	RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. ML4H@NeurIPS Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	J	`jnl`	RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. CoRR Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	J	`jnl`	Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. IEEE Trans. Big Data Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2021	A*	`conf`	SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. ICDM Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	J	`jnl`	SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. CoRR Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	—	`conf`	Semantic Shifts Reveal the Multipurpose Use of Potential COVID-19 Treatments. iConference (1) Baitong Chen, Qi Yu, Yi Bu, Ying Ding
2021	J	`jnl`	Team Power and Hierarchy: Understanding Team Success. CoRR Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric T. Meyer, Eduardo Salas, Ying Ding
2021	Misc	`ed.`	The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings ISWC Andreas Hotho, Eva Blomqvist, Stefan Dietze, Achille Fokoue, Ying Ding, Payam M. Barnaghi, Armin Haller, Mauro Dragoni, Harith Alani
2021	—	`conf`	Understanding Parachuting Collaboration. iConference (1) Ajay Jaiswal, Meijun Liu, Ying Ding
2021	—	`conf`	Understanding Team Collaboration in Artificial Intelligence from the Perspective of Geographic Distance. iConference (1) Xuli Tang, Xin Li, Ying Ding, Feicheng Ma
2021	—	`conf`	Understanding the Evolution of the Concept of Artificial Intelligence in Different Publication Venues. iConference (1) Lianjie Xiao, Weiwei Jiang, Kai Qin, Ying Ding
2021	Misc	`conf`	Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. AMIA Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng
2020	J	`jnl`	Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements. CoRR Yan Leng, Yujia Zhai, Shaojing Sun, Yifei Wu, Jordan Selzer, Sharon Strover, Julia Fensel, Alex Pentland, Ying Ding
2020	J	`jnl`	Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN. CoRR Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding
2020	J	`jnl`	Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure. CoRR Islam Akef Ebeid, Majdi Hassan, Tingyi Wanyan, Jack Roper, Abhik Seal, Ying Ding
2020	J	`jnl`	Building a PubMed knowledge graph. CoRR Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding
2020	J	`jnl`	Can pandemics transform scientific novelty? Evidence from COVID-19. CoRR Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Min Song, Yujia Zhai, Ying Ding
2020	J	`jnl`	Co-contributorship network and division of labor in individual scientific collaborations. J. Assoc. Inf. Sci. Technol. Chao Lu, Yingyi Zhang, Yong-Yeol Ahn, Ying Ding, Chenwei Zhang, Dandan Ma
2020	J	`jnl`	Coronavirus Knowledge Graph: A Case Study. CoRR Chongyan Chen, Islam Akef Ebeid, Yi Bu, Ying Ding
2020	J	`jnl`	Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records. CoRR Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2020	B	`conf`	Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2020	J	`jnl`	Monolingual and multilingual topic analysis using LDA and BERT embeddings. J. Informetrics Qing Xie, Xinyuan Zhang, Ying Ding, Min Song
2020	J	`jnl`	The Gene of Scientific Success. ACM Trans. Knowl. Discov. Data Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia
2020	J	`jnl`	The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error. CoRR Xuli Tang, Xin Li, Ying Ding, Min Song, Yi Bu
2020	J	`jnl`	The pace of artificial intelligence innovations: Speed, talent, and trial-and-error. J. Informetrics Xuli Tang, Xin Li, Ying Ding, Min Song, Yi Bu
2020	J	`jnl`	Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance. CoRR Xuli Tang, Xin Li, Ying Ding, Feicheng Ma
2020	J	`jnl`	Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. CoRR Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng
2019	J	`jnl`	A Journal for Human and Machine. Data Intell. James A. Hendler, Ying Ding, Barend Mons
2019	J	`jnl`	Adopting Text Mining on Rehabilitation Therapy Repositioning for Stroke. Frontiers Neuroinformatics Guilin Meng, Yong Huang, Qi Yu, Ying Ding, David J. Wild, Yanxin Zhao, Xueyuan Liu, Min Song
2019	J	`jnl`	Analyzing Linguistic Complexity and Scientific Impact. CoRR Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Vincent Larivière, Cassidy R. Sugimoto, Logan Paul, Chengzhi Zhang
2019	J	`jnl`	Analyzing linguistic complexity and scientific impact. J. Informetrics Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Vincent Larivière, Cassidy R. Sugimoto, Logan Paul, Chengzhi Zhang
2019	J	`jnl`	Analyzing stock market trends using social media user moods and social influence. J. Assoc. Inf. Sci. Technol. Daifeng Li, Yintian Wang, Andrew D. Madden, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Ning Zhang, Enguo Zhou
2019	J	`jnl`	Co-contributorship Network and Division of Labor in Individual Scientific Collaborations. CoRR Chao Lu, Yingyi Zhang, Yong-Yeol Ahn, Ying Ding, Chenwei Zhang, Dandan Ma
2019	J	`jnl`	Examining scientific writing styles from the perspective of linguistic complexity. J. Assoc. Inf. Sci. Technol. Chao Lu, Yi Bu, Jie Wang, Ying Ding, Vetle I. Torvik, Matthew Schnaars, Chengzhi Zhang
2019	J	`jnl`	From zero to one: A perspective on citing. J. Assoc. Inf. Sci. Technol. Yong Huang, Yi Bu, Ying Ding, Wei Lu
2019	J	`jnl`	Interdisciplinary scholarly communication: an exploratory study for the field of joint attention. Scientometrics Jian Xu, Ying Ding, Yi Bu, Shuqing Deng, Chen Yu, Yimin Zou, Andrew D. Madden
2019	—	`conf`	Modeling Adoption Behavior for Innovation Diffusion. iConference Enguo Zhou, Daifeng Li, Andrew D. Madden, Yongsheng Chen, Ying Ding, Qi Kang, Huanning Su
2019	J	`jnl`	UL-CSI Data Driven Deep Learning for Predicting DL-CSI in Cellular FDD Systems. IEEE Access Jie Wang, Ying Ding, Shujie Bian, Yang Peng, Miao Liu, Guan Gui
2019	—	`conf`	Understanding Roles of Collaborators from Their Byline Orders and Affiliations. ISSI Chao Lu, Chengwei Zhang, Ying Ding, Dandan Ma, Yingyi Zhang
2019	J	`jnl`	edge2vec: Representation learning using edge semantics for biomedical knowledge discovery. BMC Bioinform. Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy J. Yang, Christopher Gessner, Brian Foote, David J. Wild, Ying Ding, Qi Yu
2018	J	`jnl`	An investigation on the evolution of diabetes data in social Q&A logs. Data Inf. Manag. Yiming Zhao, Baitong Chen, Jin Zhang, Ying Ding, Jin Mao, Lihong Zhou
2018	—	`conf`	Analyzing scientific collaboration with "giants" based on the milestones of career. ASIST Yi Bu, Dakota S. Murray, Jian Xu, Ying Ding, Peng Ai, Jinhua Shen, Fan Yang
2018	J	`jnl`	Direct Citations between Citing Publications. CoRR Yong Huang, Yi Bu, Ying Ding, Wei Lu
2018	J	`jnl`	Examining Scientific Writing Styles from the Perspective of Linguistic Complexity. CoRR Chao Lu, Yi Bu, Jie Wang, Ying Ding, Vetle I. Torvik, Matthew Schnaars, Chengzhi Zhang
2018	J	`jnl`	Innovation or imitation: The diffusion of citations. J. Assoc. Inf. Sci. Technol. Chao Min, Ying Ding, Jiang Li, Yi Bu, Lei Pei, Jianjun Sun
2018	—	`conf`	Is scientific novelty reflected in citation patterns? ASIST Chao Min, Yi Bu, Jianjun Sun, Ying Ding
2018	J	`jnl`	Measuring the diffusion of an innovation: A citation analysis. J. Assoc. Inf. Sci. Technol. Yujia Zhai, Ying Ding, Fang Wang
2018	J	`jnl`	Measuring the stability of scientific collaboration. Scientometrics Yi Bu, Dakota S. Murray, Ying Ding, Yong Huang, Yiming Zhao
2018	J	`jnl`	Modelling online user behavior for medical knowledge learning. Ind. Manag. Data Syst. Daifeng Li, Andrew D. Madden, Chaochun Liu, Ying Ding, Liwei Qian, Enguo Zhou
2018	J	`jnl`	Number versus structure: towards citing cascades. Scientometrics Yong Huang, Yi Bu, Ying Ding, Wei Lu
2018	—	`ch.`	Scholarly Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Erjia Yan, Ying Ding
2018	J	`jnl`	Semantic word shifts in a scientific domain. Scientometrics Baitong Chen, Ying Ding, Feicheng Ma
2018	J	`jnl`	The mutually beneficial relationship of patents and scientific literature: topic evolution in nanoscience. Scientometrics Yashuang Qi, Na Zhu, Yujia Zhai, Ying Ding
2018	J	`jnl`	Topology-driven trend analysis for drug discovery. J. Informetrics Yanhua Lv, Ying Ding, Min Song, Zhiguang Duan
2018	J	`jnl`	Understanding persistent scientific collaboration. J. Assoc. Inf. Sci. Technol. Yi Bu, Ying Ding, Xingkun Liang, Dakota S. Murray
2018	J	`jnl`	Understanding scientific collaboration: Homophily, transitivity, and preferential attachment. J. Assoc. Inf. Sci. Technol. Chenwei Zhang, Yi Bu, Ying Ding, Jian Xu
2018	J	`jnl`	Understanding success through the diversity of collaborators and the milestone of career. J. Assoc. Inf. Sci. Technol. Yi Bu, Ying Ding, Jian Xu, Xingkun Liang, Gege Gao, Yiming Zhao
2018	J	`jnl`	Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention. Scientometrics Jian Xu, Yi Bu, Ying Ding, Sinan Yang, Hongli Zhang, Chen Yu, Lin Sun
2018	J	`jnl`	edge2vec: Learning Node Representation Using Edge Semantics. CoRR Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Ying Ding
2017	J	`jnl`	An efficient system to fund science: from proposal review to peer-to-peer distributions. Scientometrics Johan Bollen, David J. Crandall, Damion Junk, Ying Ding, Katy Börner
2017	J	`jnl`	Data-driven Discovery: A New Era of Exploiting the Literature and Data. J. Data Inf. Sci. Ying Ding, Kyle Stirling
2017	—	`conf`	Does collaboration bring high-impact studies? A preliminary study. ASIST Chao Lu, Yi Bu, Chenwei Zhang, Ying Ding, Vetle I. Torvik, Chengzhi Zhang
2017	—	`conf`	Machine reading for relationships between autism research and the media. ASIST Ying Ding, Fang Wang, Xiaoyu Wang, Yujia Zhai
2017	—	`conf`	Mapping the Semantic Word Shifts in Topics in the Field of Information Retrieval. ISSI Baitong Chen, Ying Ding, Feicheng Ma
2017	J	`jnl`	Multiplicity and uncertainty: Media coverage of autism causation. J. Informetrics Yujia Zhai, Shaojing Sun, Fang Wang, Ying Ding
2017	—	`conf`	Quantifying the evolution of citation cascades. ASIST Chao Min, Jianjun Sun, Ying Ding
2017	J	`jnl`	Standing on the shoulders of giants. J. Informetrics Tehmina Amjad, Ying Ding, Jian Xu, Chenwei Zhang, Ali Daud, Jie Tang, Min Song
2017	—	`conf`	To Be or Not to Be: Will Scientific Writing Affect Scientific Impact? ISSI Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Chengzhi Zhang
2017	J	`jnl`	Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications. J. Data Inf. Sci. Xianlei Dong, Jian Xu, Ying Ding, Chenwei Zhang, Kunpeng Zhang, Min Song
2017	J	`jnl`	Understanding the impact change of a highly cited article: a content-based citation analysis. Scientometrics Chao Lu, Ying Ding, Chengzhi Zhang
2017	J	`jnl`	Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval. J. Informetrics Baitong Chen, Satoshi Tsutsui, Ying Ding, Feicheng Ma
2017	J	`jnl`	User-level microblogging recommendation incorporating social influence. J. Assoc. Inf. Sci. Technol. Daifeng Li, Zhipeng Luo, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Xiaowen Dai, John Du, Jingwei Zhang, Shoubin Kong
2017	J	`jnl`	Using Machine Reading to Understand Alzheimer's and Related Diseases from the Literature. J. Data Inf. Sci. Satoshi Tsutsui, Yi Bu, Ying Ding
2017	—	`conf`	Who bridged the "Valley of Death" between basic research and clinical research? In the case of immune-checkpoints CTLA-4 and PD-1 based on inter-citation network. ASIST Qiuju Zhou, Guilin Meng, Ying Ding
2016	J	`jnl`	Author credit-assignment schemas: A comparison and analysis. J. Assoc. Inf. Sci. Technol. Jian Xu, Ying Ding, Min Song, Tamy Chambers
2016	J	`jnl`	Measuring delayed recognition for papers: Uneven weighted summation and total citations. J. Informetrics Chao Min, Jianjun Sun, Lei Pei, Ying Ding
2016	J	`jnl`	Predicting drug target interactions using meta-path-based semantic network analysis. BMC Bioinform. Gang Fu, Ying Ding, Abhik Seal, Bin Chen, Yizhou Sun, Evan Bolton
2015	J	`jnl`	A lead-lag analysis of the topic evolution patterns for preprints and publications. J. Assoc. Inf. Sci. Technol. Beibei Hu, Xianlei Dong, Chenwei Zhang, Timothy D. Bowman, Ying Ding, Stasa Milojevic, Chaoqun Ni, Erjia Yan, Vincent Larivière
2015	—	`conf`	Hypothesis Generation for Joint Attention Analysis on Autism. ISSI Jian Xu, Ying Ding, Chaomei Chen, Erjia Yan
2015	J	`jnl`	Influence diffusion detection using the influence style (INFUSE) model. J. Assoc. Inf. Sci. Technol. Luke Kien-Weng Tan, Jin-Cheon Na, Ying Ding
2015	—	`ed.`	Knowledge Engineering and Knowledge Management - EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic, Linköping, Sweden, November 24-28, 2014. Revised Selected Papers. EKAW (Satellite Events) Patrick Lambrix, Eero Hyvönen, Eva Blomqvist, Valentina Presutti, Guilin Qi, Uli Sattler, Ying Ding, Chiara Ghidini
2015	J	`jnl`	SemPathFinder: Semantic path analysis for discovering publicly unknown knowledge. J. Informetrics Min Song, Go Eun Heo, Ying Ding
2015	J	`jnl`	Topic-based heterogeneous rank. Scientometrics Tehmina Amjad, Ying Ding, Ali Daud, Jian Xu, Vincent Malic
2015	J	`jnl`	Topic-level opinion influence model (TOIM): An investigation using tencent microblogging. J. Assoc. Inf. Sci. Technol. Daifeng Li, Jie Tang, Ying Ding, Xin Shuai, Tamy Chambers, Gordon Guo-Zheng Sun, Zhipeng Luo, Jingwei Zhang
2015	J	`jnl`	Tracing database usage: Detecting main paths in database link networks. J. Informetrics Qi Yu, Ying Ding, Min Song, Sung Jeon Song, Jianhua Liu, Bin Zhang
2014	J	`jnl`	Content-based author co-citation analysis. J. Informetrics Yoo Kyung Jeong, Min Song, Ying Ding
2014	J	`jnl`	Content-based citation analysis: The next generation of citation analysis. J. Assoc. Inf. Sci. Technol. Ying Ding, Guo Zhang, Tamy Chambers, Min Song, Xiaolong Wang, ChengXiang Zhai
2014	—	`conf`	Female semantic web researchers: does collaboration with male researchers influence their network status? WebSci Tamy Chambers, Stasa Milojevic, Ying Ding
2014	A	`conf`	Modeling Paying Behavior in Game Social Networks. CIKM Zhanpeng Fang, Xinyu Zhou, Jie Tang, Wei Shao, Alvis Cheuk M. Fong, Longjun Sun, Ying Ding, Ling Zhou, Jarder Luo
2014	J	`jnl`	Patent citation analysis: Calculating science linkage based on citing motivation. J. Assoc. Inf. Sci. Technol. Rui Li, Tamy Chambers, Ying Ding, Guo Zhang, Liansheng Meng
2014	J	`jnl`	Productivity and influence in bioinformatics: A bibliometric analysis using PubMed central. J. Assoc. Inf. Sci. Technol. Min Song, Suyeon Kim, Guo Zhang, Ying Ding, Tamy Chambers
2014	—	`ch.`	Scholarly Networks Analysis. Encyclopedia of Social Network Analysis and Mining Erjia Yan, Ying Ding
2014	—	`book`	Semantic Breakthrough in Drug Discovery Bin Chen, Huijun Wang, Ying Ding, David J. Wild
2014	J	`jnl`	The role of handbooks in knowledge creation and diffusion: A case of science and technology studies. CoRR Stasa Milojevic, Cassidy R. Sugimoto, Vincent Larivière, Mike Thelwall, Ying Ding
2014	J	`jnl`	The role of handbooks in knowledge creation and diffusion: A case of science and technology studies. J. Informetrics Stasa Milojevic, Cassidy R. Sugimoto, Vincent Larivière, Mike Thelwall, Ying Ding
2013	J	`jnl`	A bird's-eye view of scientific trading: Dependency relations among fields of science. J. Informetrics Erjia Yan, Ying Ding, Blaise Cronin, Loet Leydesdorff
2013	—	`conf`	Bilingual researcher profiles: Modeling dutch researchers in both english and dutch using the VIVO ontology. ASIST Tamy Chambers, Sahil Shah, Ashish Urankar, Venkat Kalyan, Andrea Scharnhorst, Linda Reijnhoudt, Laura Ridenour, Christophe Guéret, Ying Ding
2013	J	`jnl`	Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content. J. Assoc. Inf. Sci. Technol. Guo Zhang, Ying Ding, Stasa Milojevic
2013	J	`jnl`	Collective allocation of science funding: from funding agencies to scientific agency CoRR Johan Bollen, David J. Crandall, Damion Junk, Ying Ding, Katy Börner
2013	J	`jnl`	Entitymetrics: Measuring the Impact of Entities. CoRR Ying Ding, Min Song, Jia Han, Qi Yu, Erjia Yan, Lili Lin, Tamy Chambers
2013	J	`jnl`	Finding topic-level experts in scholarly networks. Scientometrics Lili Lin, Zhuoming Xu, Ying Ding, Xiaozhong Liu
2013	J	`jnl`	Journal impact and proximity: An assessment using bibliographic features. J. Assoc. Inf. Sci. Technol. Chaoqun Ni, Debora Shaw, Sean M. Lind, Ying Ding
2013	J	`jnl`	Meta Path-Based Collective Classification in Heterogeneous Information Networks CoRR Xiangnan Kong, Bokai Cao, Philip S. Yu, Ying Ding, David J. Wild
2013	J	`jnl`	Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective. J. Informetrics Bing He, Ying Ding, Jie Tang, Vignesh Reguramalingam, Johan Bollen
2013	J	`jnl`	OWL Ontology Extraction from Relational Databases via Database Reverse Engineering. J. Softw. Lili Lin, Zhuoming Xu, Ying Ding
2013	—	`ed.`	Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing, UnstructureNLP@CIKM 2013, San Francisco, California, USA, October 28, 2013 UnstructureNLP@CIKM Xiaozhong Liu, Miao Chen, Ying Ding, Min Song
2013	J	`jnl`	The distribution of references across texts: Some implications for citation analysis. J. Informetrics Ying Ding, Xiaozhong Liu, Chun Guo, Blaise Cronin
2013	A	`conf`	Workshop summary for the 2013 international workshop on mining unstructured big data using natural language processing. CIKM Xiaozhong Liu, Miao Chen, Ying Ding, Min Song
2012	J	`jnl`	A bird's-eye view of scientific trading: Dependency relations among fields of science CoRR Erjia Yan, Ying Ding, Blaise Cronin, Loet Leydesdorff
2012	J	`jnl`	Adding community and dynamic to topic models. J. Informetrics Daifeng Li, Ying Ding, Xin Shuai, Johan Bollen, Jie Tang, Shanshan Chen, Jiayi Zhu, Guilherme Rocha
2012	J	`jnl`	Assessing Drug Target Association Using Semantic Linked Data. PLoS Comput. Biol. Bin Chen, Ying Ding, David J. Wild
2012	J	`jnl`	Citation content analysis (cca): A framework for syntactic and semantic analysis of citation content CoRR Guo Zhang, Ying Ding, Stasa Milojevic
2012	—	`conf`	How can spreaders affect the indirect infuence on twitter? JCDL Xin Shuai, Ying Ding, Jerome R. Busemeyer
2012	J	`jnl`	Improving integrative searching of systems chemical biology data using semantic annotation. J. Cheminformatics Bin Chen, Ying Ding, David J. Wild
2012	J	`jnl`	Information Concepts, Retrieval, and Services [Series]. J. Assoc. Inf. Sci. Technol. Ying Ding
2012	—	`conf`	Library and information science in the big data era: Funding, projects, and future [a panel proposal]. ASIST Cassidy R. Sugimoto, Ying Ding, Mike Thelwall
2012	A	`conf`	Meta path-based collective classification in heterogeneous information networks. CIKM Xiangnan Kong, Philip S. Yu, Ying Ding, David J. Wild
2012	A	`conf`	Mining competitive relationships by learning across heterogeneous networks. CIKM Yang Yang, Jie Tang, Jacklyne Keomany, Yanting Zhao, Juanzi Li, Ying Ding, Tian Li, Liangwei Wang
2012	J	`jnl`	Mining patterns of author orders in scientific publications. J. Informetrics Bing He, Ying Ding, Erjia Yan
2012	A	`conf`	Mining topic-level opinion influence in microblog. CIKM Daifeng Li, Xin Shuai, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo
2012	J	`jnl`	Modeling Indirect Influence on Twitter. Int. J. Semantic Web Inf. Syst. Xin Shuai, Ying Ding, Jerome R. Busemeyer, Shanshan Chen, Yuyin Sun, Jie Tang
2012	—	`conf`	Monitoring knowledge flow through scholarly networks. ASIST Erjia Yan, Ying Ding, Xiangnan Kong
2012	J	`jnl`	Multiple spreaders affect the indirect influence on Twitter CoRR Xin Shuai, Ying Ding, Jerome R. Busemeyer
2012	—	`conf`	Multiple spreaders affect the indirect influence on twitter. WWW (Companion Volume) Xin Shuai, Ying Ding, Jerome R. Busemeyer
2012	J	`jnl`	Overlaying communities and topics: an analysis on publication networks. Scientometrics Erjia Yan, Ying Ding, Elin K. Jacob
2012	—	`conf`	Scholarly conformity: Origins, framework, applications and implications. ASIST Guo Zhang, Ying Ding
2012	J	`jnl`	Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other. J. Assoc. Inf. Sci. Technol. Erjia Yan, Ying Ding
2012	J	`jnl`	The dynamic features of Delicious, Flickr, and YouTube. J. Assoc. Inf. Sci. Technol. Nan Lin, Daifeng Li, Ying Ding, Bing He, Zheng Qin, Jie Tang, Juanzi Li, Tianxi Dong
2012	J	`jnl`	Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging CoRR Daifeng Li, Ying Ding, Xin Shuai, Golden Guo-Zheng Sun, Jie Tang, Zhipeng Luo, Jingwei Zhang, Guo Zhang
2012	J	`jnl`	Topics in dynamic research communities: An exploratory study for the field of information retrieval. J. Informetrics Erjia Yan, Ying Ding, Stasa Milojevic, Cassidy R. Sugimoto
2012	—	`book`	VIVO: A Semantic Approach to Scholarly Networking and Discovery Katy Börner, Michael Conlon, Jon Corson-Rikert, Ying Ding
2012	J	`jnl`	What is the Nature of Tencent Weibo: Detect the Unique Features of Tencent Users CoRR Daifeng Li, Jingwei Zhang, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo
2011	—	`conf`	Aligning Research Resource and Researcher Representation: The eagle-i and VIVO Use Case. ICBO Stella Mitchell, Carlo Torniai, Brian Lowe, Jon Corson-Rikert, Melanie Wilson, Mansoor Ahmed, Shanshan Chen, Ying Ding, Nicholas Rejack, Melissa A. Haendel
2011	J	`jnl`	Applying weighted PageRank to author citation networks CoRR Ying Ding
2011	J	`jnl`	Applying weighted PageRank to author citation networks. J. Assoc. Inf. Sci. Technol. Ying Ding
2011	J	`jnl`	Community detection: Topological vs. topical. J. Informetrics Ying Ding
2011	J	`jnl`	Discovering author impact: A PageRank perspective. Inf. Process. Manag. Erjia Yan, Ying Ding
2011	J	`jnl`	Does Quantum Interference exist in Twitter? CoRR Xin Shuai, Ying Ding, Jerome R. Busemeyer, Yuyin Sun, Shanshan Chen, Jie Tang
2011	—	`conf`	Library and information science (LIS) as we see it: An overview at the state and country level from 1965-2010. ASIST Erjia Yan, Ying Ding
2011	J	`jnl`	Mining enriched contextual information of scientific collaboration: A meso perspective. J. Assoc. Inf. Sci. Technol. Bing He, Ying Ding, Chaoqun Ni
2011	J	`jnl`	Modeling topic and community structure in social tagging: The TTR-LDA-Community model. J. Assoc. Inf. Sci. Technol. Daifeng Li, Ying Ding, Cassidy R. Sugimoto, Bing He, Jie Tang, Erjia Yan, Nan Lin, Zheng Qin, Tianxi Dong
2011	J	`jnl`	P-Rank: An indicator measuring prestige in heterogeneous scholarly networks. J. Assoc. Inf. Sci. Technol. Erjia Yan, Ying Ding, Cassidy R. Sugimoto
2011	J	`jnl`	Popular and/or prestigious? Measures of scholarly esteem. Inf. Process. Manag. Ying Ding, Blaise Cronin
2011	J	`jnl`	Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks. J. Informetrics Ying Ding
2011	J	`jnl`	Semantic Inference using Chemogenomics Data for Drug Discovery CoRR Qian Zhu, Yuyin Sun, Sashikiran Challa, Ying Ding, Michael S. Lajiness, David J. Wild
2011	J	`jnl`	Semantic Inference using Chemogenomics Data for Drug Discovery. BMC Bioinform. Qian Zhu, Yuyin Sun, Sashikiran Challa, Ying Ding, Michael S. Lajiness, David J. Wild
2011	J	`jnl`	The cognitive structure of Library and Information Science: Analysis of article title words. J. Assoc. Inf. Sci. Technol. Stasa Milojevic, Cassidy R. Sugimoto, Erjia Yan, Ying Ding
2011	J	`jnl`	The shifting sands of disciplinary development: Analyzing North American Library and Information Science dissertations using latent Dirichlet allocation. J. Assoc. Inf. Sci. Technol. Cassidy R. Sugimoto, Daifeng Li, Terrell G. Russell, S. Craig Finlay, Ying Ding
2011	J	`jnl`	Topic-based PageRank on author cocitation networks. J. Assoc. Inf. Sci. Technol. Ying Ding
2010	—	`conf`	A Comparative analysis of user-generated and author-generated metadata for web resources. ASIST Bing He, Ying Ding, Stasa Milojevic, Elin K. Jacob
2010	J	`jnl`	Applying centrality measures to impact analysis: A coauthorship network analysis CoRR Erjia Yan, Ying Ding
2010	J	`jnl`	Chem2Bio2RDF: A Linked Open Data Portal for Chemical Biology CoRR Bin Chen, David J. Wild, Qian Zhu, Ying Ding, Xiao Dong, Madhuvanthi Sankaranarayanan, Huijun Wang, Yuyin Sun
2010	—	`conf`	Chem2Bio2RDF: A Linked Open Data Portal for Systems Chemical Biology. Web Intelligence Bin Chen, Ying Ding, Huijun Wang, David J. Wild, Xiao Dong, Yuyin Sun, Qian Zhu, Madhuvanthi Sankaranarayanan
2010	J	`jnl`	Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data. BMC Bioinform. Bin Chen, Xiao Dong, Dazhi Jiao, Huijun Wang, Qian Zhu, Ying Ding, David J. Wild
2010	A	`conf`	Community-based topic modeling for social tagging. CIKM Daifeng Li, Bing He, Ying Ding, Jie Tang, Cassidy R. Sugimoto, Zheng Qin, Erjia Yan, Juanzi Li, Tianxi Dong
2010	J	`jnl`	Discovering author impact: A PageRank perspective CoRR Erjia Yan, Ying Ding
2010	B	`conf`	Dynamic Features of Social Tagging Vocabulary: Delicious, Flickr and YouTube. ASONAM Daifeng Li, Ying Ding, Zheng Qin, Stasa Milojevic, Bing He, Erjia Yan, Tianxi Dong
2010	—	`conf`	Journal clustering through interlocking editorship information. ASIST Chaoqun Ni, Ying Ding
2010	J	`jnl`	Mapping library and information science in China: a coauthorship network analysis. Scientometrics Erjia Yan, Ying Ding, Qinghua Zhu
2010	—	`conf`	Measuring scholarly impact in heterogeneous networks. ASIST Erjia Yan, Ying Ding
2010	—	`conf`	Modeling Ontology of Folksonomy with Latent Semantics of Tags. Web Intelligence Ali Daud, Juanzi Li, Lizhu Zhou, Lei Zhang, Ying Ding, Faqir Muhammad
2010	—	`conf`	Muzk Mesh: Interlinking Semantic Music Data. Web Intelligence Mayank Singhi, Ying Ding, Yuyin Sun
2010	—	`conf`	Optimizing Semantic Web Services Ranking Using Parallelization and Rank Aggregation Techniques. ISSS/BPSC Ioan Toma, Ying Ding, Dieter Fensel
2010	J	`jnl`	PageRank for ranking authors in co-citation networks CoRR Ying Ding, Erjia Yan, Arthur R. Frazho, James Caverlee
2010	J	`jnl`	Popular and/or Prestigious? Measures of Scholarly Esteem CoRR Ying Ding, Blaise Cronin
2010	—	`conf`	Semantic Web Portal: A Platform for Better Browsing and Visualizing Semantic Data. AMT Ying Ding, Yuyin Sun, Bin Chen, Katy Börner, Li Ding, David J. Wild, Melanie Wu, Dominic DiFranzo, Alvaro Graves Fuenzalida, Daifeng Li
2010	J	`jnl`	Semantic Web: Who is who in the field - A bibliometric analysis CoRR Ying Ding
2010	J	`jnl`	Semantic Web: Who is who in the field - a bibliometric analysis. J. Inf. Sci. Ying Ding
2010	J	`jnl`	Upper Tag Ontology (UTO) For Integrating Social Tagging Data CoRR Ying Ding, Elin K. Jacob, Michael A. H. Fried, Ioan Toma, Erjia Yan, Schubert Foo
2010	J	`jnl`	Upper tag ontology for integrating social tagging data. J. Assoc. Inf. Sci. Technol. Ying Ding, Elin K. Jacob, Michael A. H. Fried, Ioan Toma, Erjia Yan, Schubert Foo, Stasa Milojevic
2010	—	`conf`	Using Web Technologies for Integrative Drug Discovery. Web Intelligence Qian Zhu, Sashikiran Challa, Prajakta Purohit, Yuyin Sun, Michael S. Lajiness, David J. Wild, Ying Ding
2010	J	`jnl`	WENDI: A tool for finding non-obvious relationships between compounds and biological properties, genes, diseases and scholarly publications. J. Cheminformatics Qian Zhu, Michael S. Lajiness, Ying Ding, David J. Wild
2010	J	`jnl`	Weighted citation: An indicator of an article's prestige CoRR Erjia Yan, Ying Ding
2010	J	`jnl`	Weighted citation: An indicator of an article's prestige. J. Assoc. Inf. Sci. Technol. Erjia Yan, Ying Ding
2009	A	`conf`	A Categorical Model for Discovering Latent Structure in Social Annotations. ICWSM Said Kashoob, James Caverlee, Ying Ding
2009	J	`jnl`	Applying centrality measures to impact analysis: A coauthorship network analysis. J. Assoc. Inf. Sci. Technol. Erjia Yan, Ying Ding
2009	J	`jnl`	PageRank for ranking authors in co-citation networks. J. Assoc. Inf. Sci. Technol. Ying Ding, Erjia Yan, Arthur R. Frazho, James Caverlee
2009	J	`jnl`	Perspectives on social tagging. J. Assoc. Inf. Sci. Technol. Ying Ding, Elin K. Jacob, Zhixiong Zhang, Schubert Foo, Erjia Yan, Nicolas L. George, Lijiang Guo
2009	J	`jnl`	Profiling Social Networks: A Social Tagging Perspective. D Lib Mag. Ying Ding, Elin K. Jacob, James Caverlee, Michael A. H. Fried, Zhixiong Zhang
2009	—	`conf`	Semantic Rules on Drug Discovery Data. ASWC Sashikiran Challa, David J. Wild, Ying Ding, Qian Zhu
2009	—	`ed.`	The Semantic Web, Fourth Asian Conference, ASWC 2009, Shanghai, China, December 6-9, 2009. Proceedings ASWC Asunción Gómez-Pérez, Yong Yu, Ying Ding
2009	C	`conf`	Utilizing Web2.0 in Web Service Ranking. ICDS Ioan Toma, Ying Ding, Krissada Chalermsook, Elena Simperl, Dieter Fensel
2008	B	`conf`	Integrating social tagging data: Upper Tag Ontology (UTO). SMC Ying Ding, Ioan Toma, Michael A. H. Fried, Sin-Jae Kang, Zhixian Yan
2008	—	`conf`	Mediating and Analyzing Social Data. OTM Conferences (2) Ying Ding, Ioan Toma, Sin-Jae Kang, Zhixiong Zhang, Michael A. H. Fried
2008	A*	`conf`	WWW 2008 workshop on social web search and mining: SWSM2008. WWW Juan-Zi Li, Gui-Rong Xue, Jie Tang, Ying Ding
2007	—	`conf`	EASAIER Semantic Music Retrieval Portal. SAMT (Posters and Demos) Michael Luger, Ying Ding, François Scharffe, Rubing Duan, Zhixian Yan
2007	—	`conf`	Semantic Search on Cross-Media Cultural Archives. AWIC Zhixian Yan, François Scharffe, Ying Ding
2007	J	`jnl`	TSC - Triple Space Computing. Elektrotech. Informationstechnik Dieter Fensel, Reto Krummenacher, M. Omair Shafiq, Eva Kühn, Johannes Riemer, Ying Ding, Bernd Draxler
2007	—	`conf`	Towards Correspondence Patterns for Ontology Mediation. OM François Scharffe, Ying Ding, Dieter Fensel
2007	—	`conf`	Towards a Domain Oriented and Independent Semantic Search Model. KES (3) Zhixian Yan, Ying Ding, Emilia Cimpian
2006	—	`conf`	Avoiding Deceptive Annotations in the Semantic Web. SAAW@ISWC Yihong Ding, David W. Embley, Ying Ding, M. Omair Shafiq
2006	B	`conf`	Bridging Multi Agent Systems and Web Services: towards interoperability between Software Agents and Semantic Web Services. EDOC M. Omair Shafiq, Ying Ding, Dieter Fensel
2006	C	`conf`	Data Mediation Support for Triple Space Computing. CollaborateCom M. Omair Shafiq, François Scharffe, Reto Krummenacher, Ying Ding, Dieter Fensel
2006	—	`conf`	Triple Space Computing Middleware for Semantic Web Services. EDOC Workshops M. Omair Shafiq, Reto Krummenacher, Francisco Martín-Recuerda, Ying Ding, Dieter Fensel
2006	—	`conf`	Triple Space Computing: Adding Semantics to Space-Based Computing. ASWC Johannes Riemer, Francisco Martín-Recuerda, Ying Ding, Martin Murth, Brahmananda Sapkota, Reto Krummenacher, M. Omair Shafiq, Dieter Fensel, Eva Kühn
2005	J	`jnl`	Semantic web portals: state-of-the-art survey. J. Knowl. Manag. Holger Lausen, Ying Ding, Michael Stollberg, Dieter Fensel, Rubén Lara Hernandez, Sung-Kook Han
2004	—	`ed.`	Proceedings of the ECAI 2004 Workshop on Application of Semantic Web Technologies to Web Communities, Valencia, Spain, August 23-27, 2004. ECAI Workshop on Application of Semantic Web Technologies to Web Communities Ying Ding, Dieter Fensel, Rubén Lara, Holger Lausen, Michael Stollberg, Sung-Kook Han
2004	—	`ch.`	Semantic Aspects of Web Services. The Practical Handbook of Internet Computing Sinuhé Arroyo, Rubén Lara, Juan Miguel Gómez, David Berka, Ying Ding, Dieter Fensel
2004	—	`ch.`	The Role of Ontologies in eCommerce. Handbook on Ontologies Ying Ding, Dieter Fensel, Michel C. A. Klein, Borys Omelayenko, Ellen Schulten
2004	—	`conf`	Towards Semantic Web Portals. WWW Workshop on Application Design, Development and Implementation Issues in the Semantic Web Michael Stollberg, Holger Lausen, Rubén Lara, Ying Ding, Sung-Kook Han, Dieter Fensel
2003	J	`jnl`	Report on ACM SIGIR workshop on "semantic web" SWIR 2003. SIGIR Forum Ying Ding, Cornelis Joost van Rijsbergen, Iadh Ounis, Joemon M. Jose
2003	—	`conf`	UPML: The Language and Tool Support for Making the Semantic Web Alive. Spinning the Semantic Web Borys Omelayenko, Monica Crubézy, Dieter Fensel, V. Richard Benjamins, Bob J. Wielinga, Enrico Motta, Mark A. Musen, Ying Ding
2002	Misc	`conf`	GoldenBullet in a Nutshell. FLAIRS Ying Ding, Maksym Korotkiy, Borys Omelayenko, Vera Kartseva, Volodymyr Zykov, Michel C. A. Klein, Ellen Schulten, Dieter Fensel
2002	J	`jnl`	Ontology research and development. Part 1 - a review of ontology generation. J. Inf. Sci. Ying Ding, Schubert Foo
2002	J	`jnl`	Ontology research and development. Part 2 - a review of ontology mapping and evolving. J. Inf. Sci. Ying Ding, Schubert Foo
2002	J	`jnl`	The semantic web: yet another hip? Data Knowl. Eng. Ying Ding, Dieter Fensel, Michel C. A. Klein, Borys Omelayenko
2001	J	`jnl`	A review of ontologies with the Semantic Web in view. J. Inf. Sci. Ying Ding
2001	J	`jnl`	Bibliometric cartography of information retrieval research by using co-word analysis. Inf. Process. Manag. Ying Ding, Gobinda G. Chowdhury, Schubert Foo
2001	—	`conf`	IR and AI: Using co-occurrence Theory to Generate Lightweight Ontologies. DEXA Workshop Ying Ding, Robert Engels
2001	—	`conf`	Ontology Library Systems: The key to successful Ontology Reuse. SWWS Ying Ding, Dieter Fensel
2001	J	`jnl`	Product Data Integration in B2B E-Commerce. IEEE Intell. Syst. Dieter Fensel, Ying Ding, Borys Omelayenko, Ellen Schulten, Guy Botquin, Mike Brown, Alan Flett
2001	—	`—`	Scholarly communications in information retrieval : a cocitation analysis and its applications Ying Ding
2000	J	`jnl`	Bibliometric information retrieval system (BIRS): A web search interface utilizing bibliometric research results. J. Am. Soc. Inf. Sci. Ying Ding, Gobinda G. Chowdhury, Schubert Foo, Weizhong Qian
2000	J	`jnl`	Incorporating the results of co-word analyses to increase search variety for information retrieval. J. Inf. Sci. Ying Ding, Gobinda G. Chowdhury, Schubert Foo
2000	J	`jnl`	Journal as Markers of Intellectual Space: Journal Co-Citation Analysis of Information Retrieval Area, 1987-1997. Scientometrics Ying Ding, Gobinda G. Chowdhury, Schubert Foo
1999	J	`jnl`	Mapping the intellectual structure of information retrieval studies: an author co-citation analysis, 1987-1997. J. Inf. Sci. Ying Ding, Gobinda G. Chowdhury, Schubert Foo