A Research Study on Externalization of Tacit Knowledge Based on Web2.0. - Gang Li 040; Kun Lu 001 (I3E (2), 2007)

Enhancing Subject Metadata with Automated Weighting in the Medical Domain: A Comparison of Different Measures. - Kun Lu 001; Jin Mao 001; Gang Li 040 (ICADL, 2015)

Mining document, concept, and term associations for effective biomedical retrieval: introducing MeSH-enhanced retrieval models. - Jin Mao 001; Kun Lu 001; Xiangming Mu; Gang Li 040 (Inf. Retr. J., 2015)

Recognizing Reference Spans and Classifying their Discourse Facets. - Kun Lu 001; Jin Mao 001; Gang Li 040; Jian Xu (BIRNDL@JCDL, 2016)

Profiling users with tag networks in diffusion-based personalized recommendation. - Jin Mao 001; Kun Lu 001; Gang Li 040; Ming Yi (J. Inf. Sci., 2016)

Topic scientific community in science: a combined perspective of scientific collaboration and topics. - Jin Mao 001; Yujie Cao; Kun Lu 001; Gang Li 040 (Scientometrics, 2017)

Toward effective automated weighted subject indexing: A comparison of different approaches in different environments. - Kun Lu 001; Jin Mao 001; Gang Li 040 (J. Assoc. Inf. Sci. Technol., 2018)

Understanding the relevance between text and images in disaster-related social media posts. - Jin Mao 001; Ji Zhang; Kun Lu 001; Gang Li 040 (ASIST, 2019)

Spatiotemporal Analysis on Sentiments and Retweet Patterns of Tweets for Disasters. - Sijing Chen; Jin Mao 001; Gang Li 040 (iConference, 2019)

Idea Diffusion Patterns: SNA on Knowledge Meme Cascade Network. - Zhentao Liang; Jin Mao 001; Yujie Cao; Gang Li 040 (ISSI, 2019)

A hierarchical approach to analyzing knowledge integration between two fields - a case study on medical informatics and computer science. - Zhichao Ba; Yujie Cao; Jin Mao 001; Gang Li 040 (Scientometrics, 2019)

Location recommendation by combining geographical, categorical, and social preferences with location popularity. - Yaxue Ma; Jin Mao 001; Zhichao Ba; Gang Li 040 (Inf. Process. Manag., 2020)

Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes. - Jin Mao 001; Zhentao Liang; Yujie Cao; Gang Li 040 (J. Informetrics, 2020)

Combining deep neural network and bibliometric indicator for emerging research topic prediction. - Zhentao Liang; Jin Mao 001; Kun Lu 001; Zhichao Ba; Gang Li 040 (Inf. Process. Manag., 2021)

Understanding interdisciplinary knowledge integration through citance analysis: A case study on eHealth. - Shiyun Wang; Jin Mao 001; Kun Lu 001; Yujie Cao; Gang Li 040 (J. Informetrics, 2021)

Finding citations for PubMed: a large-scale comparison between five freely available bibliographic data sources. - Zhentao Liang; Jin Mao 001; Kun Lu 001; Gang Li 040 (Scientometrics, 2021)

Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling-artificial neural network approach. - Yaxue Ma; Zhichao Ba; Yuxiang Zhao 001; Jin Mao 001; Gang Li 040 (Scientometrics, 2021)

Identifying widely disseminated scientific papers on social media. - Yaxue Ma; Tingting Li 003; Jin Mao 001; Zhichao Ba; Gang Li 040 (Inf. Process. Manag., 2022)

Identifying humanitarian information for emergency response by modeling the correlation and independence between text and images. - Xuehua Wu; Jin Mao 001; Hao Xie; Gang Li 040 (Inf. Process. Manag., 2022)

Bias against scientific novelty: A prepublication perspective. - Zhentao Liang; Jin Mao 001; Gang Li 040 (J. Assoc. Inf. Sci. Technol., 2023)

Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities. - Shiyun Wang; Yaxue Ma; Jin Mao 001; Yun Bai; Zhentao Liang; Gang Li 040 (J. Assoc. Inf. Sci. Technol., 2023)

Research complexity increases with scientists' academic age: Evidence from library and information science. - Zhentao Liang; Zhichao Ba; Jin Mao 001; Gang Li 040 (J. Informetrics, 2023)

Predicting the evolution of scientific communities by interpretable machine learning approaches. - Yunpei Tian; Gang Li 040; Jin Mao 001 (J. Informetrics, 2023)

DBRP: Decomposition and Branch Reasoning Improves Paper Source Tracing. - Jie Meng; Dangyi Zou; Jin Mao 001; Gang Li 040 (JCDL, 2024)

A Dynamic Heterogeneous Graph Attention Fusion Network for Citation Intent Classification of Scientific Publications. - Zhibang Quan; Jin Mao 001; Gang Li 040 (JCDL, 2024)

Discovering weak signals of emerging topics with a triple-dimensional framework. - Ming Ma; Jin Mao 001; Gang Li 040 (Inf. Process. Manag., 2024)

A co-citation approach to the analysis on the interaction between scientific and technological knowledge. - Xi Chen; Jin Mao 001; Gang Li 040 (J. Informetrics, 2024)

A network coupling approach to detecting hierarchical linkages between science and technology. - Kai Meng; Zhichao Ba; Yaxue Ma; Gang Li 040 (J. Assoc. Inf. Sci. Technol., 2024)

Measuring knowledge complexity in the biomedical domain based on a question-method knowledge representation model. - Ming Ma; Jin Mao 001; Zhentao Liang; Zhejun Zheng; Gang Li 040 (J. Informetrics, 2025)

Unveiling intrinsic interactions of science and technology in artificial intelligence using a network portrait divergence approach. - Kai Meng; Zhichao Ba; Chunying Wang; Gang Li 040 (J. Informetrics, 2025)

Quantifying the impact of digital technology on enterprise processes using LLM-based causal claim networks. - Yujie Zhang; Zhichao Ba; Jin Mao 001; Gang Li 040 (J. Informetrics, 2025)

Predicting reuse patterns of novel technologies: the impact of technology components and early inventions on technology trajectories. - Wen Chen; Yaxue Ma; Zhichao Ba; Gang Li 040 (Scientometrics, 2025)

Citation importance-aware document representation learning for large-scale science mapping. - Zhentao Liang; Nees Jan van Eck; Xuehua Wu; Jin Mao 001; Gang Li 040 (Inf. Process. Manag., 2026)

Multi-intent prediction of scientific literature based on heterogeneous graph fusion network. - Zhibang Quan; Jin Mao 001; Gang Li 040 (Scientometrics, 2026)