Jin Mao - RankMe

41 papers Journal 31Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Citation importance-aware document representation learning for large-scale science mapping. Inf. Process. Manag. Zhentao Liang, Nees Jan van Eck, Xuehua Wu, Jin Mao, Gang Li
2025	J	`jnl`	Citation importance-aware document representation learning for large-scale science mapping. CoRR Zhentao Liang, Nees Jan van Eck, Xuehua Wu, Jin Mao, Gang Li
2025	J	`jnl`	How does Nobel prize awarding shift the research topics of Nobelists' coauthors and non-coauthors? J. Informetrics Xin Xie, Jin Mao, Jiang Li
2025	J	`jnl`	Learned-Rule-Augmented Large Language Model Evaluators. CoRR Jie Meng, Jin Mao
2025	J	`jnl`	Measuring knowledge complexity in the biomedical domain based on a question-method knowledge representation model. J. Informetrics Ming Ma, Jin Mao, Zhentao Liang, Zhejun Zheng, Gang Li
2025	J	`jnl`	Quantifying the impact of digital technology on enterprise processes using LLM-based causal claim networks. J. Informetrics Yujie Zhang, Zhichao Ba, Jin Mao, Gang Li
2024	—	`conf`	A Dynamic Heterogeneous Graph Attention Fusion Network for Citation Intent Classification of Scientific Publications. JCDL Zhibang Quan, Jin Mao, Gang Li
2024	J	`jnl`	A co-citation approach to the analysis on the interaction between scientific and technological knowledge. J. Informetrics Xi Chen, Jin Mao, Gang Li
2024	—	`conf`	DBRP: Decomposition and Branch Reasoning Improves Paper Source Tracing. JCDL Jie Meng, Dangyi Zou, Jin Mao, Gang Li
2024	J	`jnl`	Decoding the writing styles of disciplines: A large-scale quantitative analysis. Inf. Process. Manag. Shuyi Dong, Jin Mao, Qing Ke, Lei Pei
2024	J	`jnl`	Discovering weak signals of emerging topics with a triple-dimensional framework. Inf. Process. Manag. Ming Ma, Jin Mao, Gang Li
2023	J	`jnl`	Bias against scientific novelty: A prepublication perspective. J. Assoc. Inf. Sci. Technol. Zhentao Liang, Jin Mao, Gang Li
2023	J	`jnl`	Predicting the evolution of scientific communities by interpretable machine learning approaches. J. Informetrics Yunpei Tian, Gang Li, Jin Mao
2023	J	`jnl`	Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities. J. Assoc. Inf. Sci. Technol. Shiyun Wang, Yaxue Ma, Jin Mao, Yun Bai, Zhentao Liang, Gang Li
2023	J	`jnl`	Research complexity increases with scientists' academic age: Evidence from library and information science. J. Informetrics Zhentao Liang, Zhichao Ba, Jin Mao, Gang Li
2022	J	`jnl`	Identifying humanitarian information for emergency response by modeling the correlation and independence between text and images. Inf. Process. Manag. Xuehua Wu, Jin Mao, Hao Xie, Gang Li
2022	J	`jnl`	Identifying widely disseminated scientific papers on social media. Inf. Process. Manag. Yaxue Ma, Tingting Li, Jin Mao, Zhichao Ba, Gang Li
2021	—	`conf`	A Knowledge Representation Model for Studying Knowledge Creation, Usage, and Evolution. iConference (1) Zhentao Liang, Fei Liu, Jin Mao, Kun Lu
2021	J	`jnl`	Combining deep neural network and bibliometric indicator for emerging research topic prediction. Inf. Process. Manag. Zhentao Liang, Jin Mao, Kun Lu, Zhichao Ba, Gang Li
2021	J	`jnl`	Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field. J. Informetrics Zhichao Ba, Jin Mao, Yaxue Ma, Zhentao Liang
2021	J	`jnl`	Finding citations for PubMed: A large-scale comparison between five freely available bibliographic data sources. CoRR Zhentao Liang, Jin Mao, Kun Lu, Gang Li
2021	J	`jnl`	Finding citations for PubMed: a large-scale comparison between five freely available bibliographic data sources. Scientometrics Zhentao Liang, Jin Mao, Kun Lu, Gang Li
2021	J	`jnl`	Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling-artificial neural network approach. Scientometrics Yaxue Ma, Zhichao Ba, Yuxiang Zhao, Jin Mao, Gang Li
2021	J	`jnl`	Understanding interdisciplinary knowledge integration through citance analysis: A case study on eHealth. J. Informetrics Shiyun Wang, Jin Mao, Kun Lu, Yujie Cao, Gang Li
2020	J	`jnl`	Location recommendation by combining geographical, categorical, and social preferences with location popularity. Inf. Process. Manag. Yaxue Ma, Jin Mao, Zhichao Ba, Gang Li
2020	J	`jnl`	Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes. J. Informetrics Jin Mao, Zhentao Liang, Yujie Cao, Gang Li
2019	J	`jnl`	A hierarchical approach to analyzing knowledge integration between two fields - a case study on medical informatics and computer science. Scientometrics Zhichao Ba, Yujie Cao, Jin Mao, Gang Li
2019	—	`conf`	Idea Diffusion Patterns: SNA on Knowledge Meme Cascade Network. ISSI Zhentao Liang, Jin Mao, Yujie Cao, Gang Li
2019	—	`conf`	Spatiotemporal Analysis on Sentiments and Retweet Patterns of Tweets for Disasters. iConference Sijing Chen, Jin Mao, Gang Li
2019	—	`conf`	Understanding the relevance between text and images in disaster-related social media posts. ASIST Jin Mao, Ji Zhang, Kun Lu, Gang Li
2018	J	`jnl`	Identifying bacterial biotope entities using sequence labeling: Performance and feature analysis. J. Assoc. Inf. Sci. Technol. Jin Mao, Hong Cui
2018	J	`jnl`	Ranking themes on co-word networks: Exploring the relationships among different metrics. Inf. Process. Manag. Wanying Zhao, Jin Mao, Kun Lu
2018	J	`jnl`	Toward effective automated weighted subject indexing: A comparison of different approaches in different environments. J. Assoc. Inf. Sci. Technol. Kun Lu, Jin Mao, Gang Li
2017	J	`jnl`	Topic scientific community in science: a combined perspective of scientific collaboration and topics. Scientometrics Jin Mao, Yujie Cao, Kun Lu, Gang Li
2016	J	`jnl`	Profiling users with tag networks in diffusion-based personalized recommendation. J. Inf. Sci. Jin Mao, Kun Lu, Gang Li, Ming Yi
2016	—	`conf`	Recognizing Reference Spans and Classifying their Discourse Facets. BIRNDL@JCDL Kun Lu, Jin Mao, Gang Li, Jian Xu
2015	J	`jnl`	An automatic approach to weighted subject indexing - an empirical study in the biomedical domain. J. Assoc. Inf. Sci. Technol. Kun Lu, Jin Mao
2015	—	`conf`	Enhancing Subject Metadata with Automated Weighting in the Medical Domain: A Comparison of Different Measures. ICADL Kun Lu, Jin Mao, Gang Li
2015	J	`jnl`	Mining document, concept, and term associations for effective biomedical retrieval: introducing MeSH-enhanced retrieval models. Inf. Retr. J. Jin Mao, Kun Lu, Xiangming Mu, Gang Li
2014	—	`conf`	Leverage the Associations between Documents, Subject Headings and Terms to Enhance Retrieval. ESAIR Jin Mao, Kun Lu
2013	—	`conf`	Automatically infer subject terms and documents associations through text mining. ASIST Kun Lu, Jin Mao