Haihua Chen - RankMe

88 papers A* 3B 1C 3Journal 48Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A comprehensive survey on medical concept normalization: Datasets, techniques, applications, and future directions. J. Biomed. Informatics Haihua Chen, Yuhan Zhou, Ruochi Li, Aryan Murthy Illa, Ana D. Cleveland, Junhua Ding
2026	J	`jnl`	A hybrid graph and LLM approach for measuring scientific novelty via knowledge recombination and propagation. Expert Syst. Appl. Zhongyi Wang, Zeren Wang, Guangzhao Zhang, Jiangping Chen, Markus Luczak-Rösch, Haihua Chen
2026	A*	`conf`	AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation. WWW Haoxuan Zhang, Ruochi Li, Zhenni Liang, Mehri Sattari, Phat Vo, Collin Qu, Ting Xiao, Junhua Ding, Yang Zhang, Haihua Chen
2026	J	`jnl`	Beyond Human Annotation: Recent Advances in Data Generation Methods for Document Intelligence. CoRR Dehao Ying, Fengchang Yu, Haihua Chen, Changjiang Jiang, Yurong Li, Wei Lu
2026	J	`jnl`	Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving. CoRR Yuhan Zhou, Mehri Sattari, Haihua Chen, Kewei Sha
2025	J	`jnl`	A Novel Multi-layer Task-centric and Data Quality Framework for Autonomous Driving. CoRR Yuhan Zhou, Haihua Chen, Kewei Sha
2025	J	`jnl`	A dual-perspective innovation framework: quantifying novelty and diffusion of scientific publications. Electron. Libr. Zhuoran Luo, Le Cai, Chentao Zhu, Chen Gu, Haihua Chen, Wei Lu
2025	—	`conf`	Application of GAI to Empirical Studies: It's High Time to Discuss Challenges and Pitfalls. JCDL Miyoung Chong, Junhua Ding, Chirag Shah, Haihua Chen
2025	J	`jnl`	Deep learning meets bibliometrics: A survey of citation function classification. J. Informetrics Yang Zhang, Yufei Wang, Quan Z. Sheng, Lina Yao, Haihua Chen, Kai Wang, Adnan Mahmood, Wei Emma Zhang, Munazza Zaib, Subhash Sagar, Rongying Zhao
2025	J	`jnl`	Disaster Informatics after the COVID-19 Pandemic: Bibliometric and Topic Analysis based on Large-scale Academic Literature. CoRR Ngan Tran, Haihua Chen, Ana D. Cleveland, Yuhan Zhou
2025	J	`jnl`	Editorial: A roadmap to ethical research. Electron. Libr. Jeonghyun (Annie) Kim, Haihua Chen, Marie Bloechle
2025	J	`jnl`	Enhancing data quality in medical concept normalization through large language models. J. Biomed. Informatics Haihua Chen, Ruochi Li, Ana D. Cleveland, Junhua Ding
2025	J	`jnl`	Exploring Public Perceptions of Generative AI in Libraries: A Social Media Analysis of X Discussions. CoRR Yuan Li, Teja Mandaloju, Haihua Chen
2025	J	`jnl`	Exploring the influence of regulated learning processes on learners' prestige in project-based learning. Educ. Inf. Technol. Fengjiao Tu, Linjing Wu, Kinshuk, Junhua Ding, Haihua Chen
2025	J	`jnl`	IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory. Inf. Process. Manag. Zhongyi Wang, Na Wang, Haoxuan Zhang, Zeren Wang, Zhou Wang, Junhua Ding, Haihua Chen
2025	J	`jnl`	Large Language Models for Oral History Understanding with Text Classification and Sentiment Analysis. CoRR Komala Subramanyam Cherukuri, Pranav Abishai Moses, Aisa Sakata, Jiangping Chen, Haihua Chen
2025	J	`jnl`	Prompt Optimization via Retrieved Reasoning Assets and Multi-Agent Analysis. CoRR Wonduk Seo, Juhyeon Lee, Junseo Koh, Hyunjin An, Jian Park, Seunghyun Lee, Haihua Chen, Yi Bu
2025	—	`conf`	ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation. JCDL Haoxuan Zhang, Ruochi Li, Sarthak Shrestha, Shree Harshini Mamidala, Revanth Putta, Arka Krishan Aggarwal, Ting Xiao, Junhua Ding, Haihua Chen
2025	J	`jnl`	ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation. CoRR Haoxuan Zhang, Ruochi Li, Sarthak Shrestha, Shree Harshini Mamidala, Revanth Putta, Arka Krishan Aggarwal, Ting Xiao, Junhua Ding, Haihua Chen
2025	—	`conf`	TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data. EMNLP (Findings) Changjiang Jiang, Fengchang Yu, Haihua Chen, Wei Lu, Jin Zeng
2025	J	`jnl`	TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data. CoRR Changjiang Jiang, Fengchang Yu, Haihua Chen, Wei Lu, Jin Zeng
2025	J	`jnl`	The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist. CoRR Haoxuan Zhang, Ruochi Li, Yang Zhang, Ting Xiao, Jiangping Chen, Junhua Ding, Haihua Chen
2025	A*	`conf`	Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers. ICDM Ruochi Li, Haoxuan Zhang, Edward F. Gehringer, Ting Xiao, Junhua Ding, Haihua Chen
2025	J	`jnl`	Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers. CoRR Ruochi Li, Haoxuan Zhang, Edward F. Gehringer, Ting Xiao, Junhua Ding, Haihua Chen
2024	J	`jnl`	A Comparative Study of Quality Evaluation Methods for Text Summarization. CoRR Huyen Nguyen, Haihua Chen, Lavanya Pobbathi, Junhua Ding
2024	—	`conf`	A Framework for Assessing Country Reputation: Case Study of China during the COVID-19 Pandemic. DG.O Xiaoqun Zhang, Miyoung Chong, Loni Hagen, Haihua Chen
2024	—	`conf`	A Survey on Data Quality Dimensions and Tools for Machine Learning Invited Paper. AITest Yuhan Zhou, Fengjiao Tu, Kewei Sha, Junhua Ding, Haihua Chen
2024	J	`jnl`	A Survey on Data Quality Dimensions and Tools for Machine Learning. CoRR Yuhan Zhou, Fengjiao Tu, Kewei Sha, Junhua Ding, Haihua Chen
2024	J	`jnl`	An effective framework for measuring the novelty of scientific articles through integrated topic modeling and cloud model. J. Informetrics Zhongyi Wang, Haoxuan Zhang, Jiangping Chen, Haihua Chen
2024	J	`jnl`	Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network. J. King Saud Univ. Comput. Inf. Sci. Zhongyi Wang, Haoxuan Zhang, Haihua Chen, Yunhe Feng, Junhua Ding
2024	A*	`conf`	DIG: Complex Layout Document Image Generation with Authentic-looking Text for Enhancing Layout Analysis. ACM Multimedia Dehao Ying, Fengchang Yu, Haihua Chen, Wei Lu
2024	J	`jnl`	Demystifying oral history with natural language processing and data analytics: a case study of the Densho digital collection. Electron. Libr. Haihua Chen, Jeonghyun (Annie) Kim, Jiangping Chen, Aisa Sakata
2024	J	`jnl`	Editorial: Innovation measurement for scientific communication (IMSC) in the era of big data. Electron. Libr. Zhongyi Wang, Haihua Chen, Chengzhi Zhang, Wei Lu, Jian Wu
2024	—	`conf`	Evaluation of Question-Answering Based Text Summarization using LLM Invited Paper. AITest Junhua Ding, Huyen Nguyen, Haihua Chen
2024	J	`jnl`	Exploring and evaluating the index for interdisciplinary breakthrough innovation detection. Electron. Libr. Zhongyi Wang, Xueyao Qiao, Jing Chen, Lina Li, Haoxuan Zhang, Junhua Ding, Haihua Chen
2024	—	`conf`	Fine-Grained, Accurate Data Generation and Multimodal Layout Analysis for Academic Papers. JCDL Dehao Ying, Fengchang Yu, Haihua Chen, Wei Lu
2024	J	`jnl`	From Detection to Application: Recent Advances in Understanding Scientific Tables and Figures. ACM Comput. Surv. Jiani Huang, Haihua Chen, Fengchang Yu, Wei Lu
2024	J	`jnl`	Identifying interdisciplinary topics and their evolution based on BERTopic. Scientometrics Zhongyi Wang, Jing Chen, Jiangping Chen, Haihua Chen
2024	—	`conf`	JCDL 2024 Tutorial: Academic Table and Figure Understanding for Digital Libraries. JCDL Wei Lu, Jiani Huang, Fengchang Yu, Haihua Chen
2024	—	`conf`	JCDL2024 Workshop: Utilizing AI/ML to Enhance Information Extraction, Organization, and Retrieval from Large-scale Archival Collections. JCDL Haihua Chen, Jeonghyun Kim, Xiaoguang Wang, Le Yang, Wayne de Fremery
2024	—	`conf`	JCDL2024Workshop: The 2nd Workshop on Innovation Measurement for Scientific Communication (IMSC) in the Era of Big Data. JCDL Zhongyi Wang, Haihua Chen, Chengzhi Zhang, Yi Bu, Wei Lu, Jian Wu
2024	—	`conf`	LSD: An Effective Method for Improving Quality of Scholarly Databases. JCDL Li Zhang, Keye Wu, Xiaopu Cheng, Jiajie Wang, Haihua Chen
2024	—	`conf`	Message from the PC Chairs, IEEE AITest 2024. AITest Monowar Bhuyan, Haihua Chen
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`	RRD-Bio: Building An Integrated Research Resource Database for Biomedicine. CoRR Li Zhang, Mengting Sun, Chong Jiang, Haihua Chen
2023	J	`jnl`	Detecting interdisciplinary semantic drift for knowledge organization based on normal cloud model. J. King Saud Univ. Comput. Inf. Sci. Zhongyi Wang, Siyuan Peng, Jiangping Chen, Amoni G. Kapasule, Haihua Chen
2023	—	`conf`	Enhancing Text Classification Models with Generative AI-aided Data Augmentation. AITest Huanhuan Zhao, Haihua Chen, Hong-Jun Yoon
2023	—	`conf`	Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making. AITest Kate Kargozari, Junhua Ding, Haihua Chen
2023	—	`conf`	Fighting Misinformation: Where Are We and Where to Go? iConference (1) Huyen Nguyen, Lydia Ogbadu-Oladapo, Irhamni Ali, Haihua Chen, Jiangping Chen
2023	J	`jnl`	ICAD-MI: Interdisciplinary concept association discovery from the perspective of metaphor interpretation. Knowl. Based Syst. Zhongyi Wang, Siyuan Peng, Jiangping Chen, Xian Zhang, Haihua Chen
2023	B	`conf`	Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data. COMPSAC Yunhe Feng, Sreecharan Vanam, Manasa Cherukupally, Weijian Zheng, Meikang Qiu, Haihua Chen
2023	—	`conf`	JCDL2023 Workshop: Innovation Measurement for Scientific Communication (IMSC) in the Era of Big Data. JCDL Zhongyi Wang, Haihua Chen, Chengzhi Zhang, Wei Lu, Jian Wu
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`	Measurement and Identification of Informative Reviews for Automated Summarization. AITest Huyen Nguyen, Haihua Chen, Roopesh Maganti, K. S. M. Tozammel Hossain, Junhua Ding
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	C	`conf`	Quality Evaluation of Summarization Models for Patent Documents. QRS Junhua Ding, Haihua Chen, Sai Kolapudi, Lavanya Pobbathi, Huyen Nguyen
2022	J	`jnl`	A comparative evaluation of biomedical similar article recommendation. J. Biomed. Informatics Li Zhang, Wei Lu, Haihua Chen, Yong Huang, Qikai Cheng
2022	J	`jnl`	A comparative study of automated legal text classification using random forests and deep learning. Inf. Process. Manag. Haihua Chen, Lei Wu, Jiangping Chen, Wei Lu, Junhua Ding
2022	J	`jnl`	Constructing a high-quality dataset for automated creation of summaries of fundamental contributions of research articles. Scientometrics Haihua Chen, Huyen Nguyen, Asmaa Alghamdi
2022	J	`jnl`	Construction and Evaluation of a High-Quality Corpus for Legal Intelligence Using Semiautomated Approaches. IEEE Trans. Reliab. Haihua Chen, Lavinia Florentina Pieptea, Junhua Ding
2022	J	`jnl`	Correction to: Towards employing native information in citation function classification. Scientometrics Yang Zhang, Rongying Zhao, Yufei Wang, Haihua Chen, Adnan Mahmood, Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng
2022	J	`jnl`	Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection. IEEE Access Ngan Tran, Haihua Chen, Jay Bhuyan, Junhua Ding
2022	J	`jnl`	Measuring the innovation of method knowledge elements in scientific literature. Scientometrics Zhongyi Wang, Keying Wang, Jiyue Liu, Jing Huang, Haihua Chen
2022	J	`jnl`	Towards employing native information in citation function classification. Scientometrics Yang Zhang, Rongying Zhao, Yufei Wang, Haihua Chen, Adnan Mahmood, Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng
2022	—	`conf`	Uncover Marginalized Narratives of Japanese American Incarceration: An Annotation Scheme for Natural Language Processing and Data Analytics. ASIST Yingying Han, Roopesh Maganti, Jiangping Chen, Haihua Chen
2021	J	`jnl`	A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section. J. Data Inf. Sci. Haihua Chen
2021	J	`jnl`	Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection. CoRR Haihua Chen, Ngan Tran, Anand Sagar Thumati, Jay Bhuyan, Junhua Ding
2021	J	`jnl`	Data Evaluation and Enhancement for Quality Improvement of Machine Learning. IEEE Trans. Reliab. Haihua Chen, Jiangping Chen, Junhua Ding
2021	—	`conf`	Data Mining on COVID -19 Vaccines: Side Effects. ASIST Jing You, Nagma Shaik, Haihua Chen
2021	J	`jnl`	Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection. Int. J. Perform. Eng. Ngan Tran, Haihua Chen, Jiang Janet, Jay Bhuyan, Junhua Ding
2021	—	`conf`	Racist Framing through Stigmatized Naming: A Topical and Geo-locational Analysis of #Chinavirus and #Chinesevirus on Twitter. ASIST Miyoung Chong, Haihua Chen
2021	—	`conf`	UNTIIA Lab at TREC 2021 - Clinical Trial. TREC Huyen Nguyen, Haihua Chen, Bhanu Prasad, Huanhuan Zhao, Junhua Ding, Jiangping Chen, Ana D. Cleveland
2020	J	`jnl`	A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section. CoRR Haihua Chen
2020	J	`jnl`	An ontology-improved vector space model for semantic retrieval. Electron. Libr. Mingwei Tang, Jiangping Chen, Haihua Chen, Zhenyuan Xu, Yueyao Wang, Mengting Xie, Jiangwei Lin
2020	C	`conf`	Data Evaluation and Enhancement for Quality Improvement of Machine Learning. QRS Haihua Chen, Jiangping Chen, Junhua Ding
2020	J	`jnl`	Exploring multiple diversification strategies for academic citation contexts recommendation. Electron. Libr. Haihua Chen, Yunhan Yang, Wei Lu, Jiangping Chen
2020	J	`jnl`	Fine-tuning Pre-trained Contextual Embeddings for Citation Content Analysis in Scholarly Publication. CoRR Haihua Chen, Huyen Nguyen
2020	—	`conf`	Result Diversification in Clinical Case Reports Retrieval based on Main Finding. QRS Companion Mengqi Luo, Fengchang Yu, Haihua Chen
2020	—	`conf`	SALKG: A Semantic Annotation System for Building a High-quality Legal Knowledge Graph. IEEE BigData Mingwei Tang, Cui Su, Haihua Chen, Jingye Qu, Junhua Ding
2020	—	`conf`	SemOIR: An ontology-based semantic information retrieval system. QRS Companion Mingwei Tang, Jiangping Chen, Haihua Chen
2020	—	`conf`	Smart bookshelf for library book management. ASIST Mingwei Tang, Jiangping Chen, Haihua Chen
2019	—	`conf`	A Practical Framework for Evaluating the Quality of Knowledge Graph. CCKS Haihua Chen, Gaohui Cao, Jiangping Chen, Junhua Ding
2019	J	`jnl`	Result diversification in image retrieval based on semantic distance. Inf. Sci. Wei Lu, Mengqi Luo, Zhenyu Zhang, Guobiao Zhang, Heng Ding, Haihua Chen, Jiangping Chen
2018	—	`conf`	Designing a Novel Framework for Precision Medicine Information Retrieval. ICSH Haihua Chen, Juncheng Ding, Jiangping Chen, Gaohui Cao
2018	—	`conf`	Diversifying Citation Contexts in Academic Literature for Knowledge Recommendation. JCDL Yunhan Yang, Haihua Chen, Wei Lu, Brenda Reyes Ayala
2018	C	`conf`	Regression-Based Documents Reranking for Precision Medicine. BIBE Juncheng Ding, Wei Jin, Haihua Chen
2018	—	`conf`	Smart and Connected Health Projects: Characteristics and Research Challenges. ICSH Jiangping Chen, Minghong Chen, Jingye Qu, Haihua Chen, Juncheng Ding
2017	—	`conf`	UNT Precision Medicine Information Retrieval at TREC 2017. TREC Lokesh Kumar Viswavarapu, Jiangping Chen, Ana D. Cleveland, Haihua Chen