Libin Yang
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
- Health Informatics top 5%
Papers in
-
- Topic Modeling 29
- Advanced Graph Neural Networks 16
- Natural Language Processing Techniques 13
- Advanced Text Analysis Techniques 7
- Machine Learning in Healthcare 4
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- Recommender Systems and Techniques 13
- Co-authors
- Xiaoyan Cai (39 shared papers)Junwei Han (9 shared papers)Lantian Guo (4 shared papers)Dejun Mu (1 shared paper)Tao Dai (4 shared papers)Shirui Pan (7 shared papers)Yu Zheng (4 shared papers)Dejun Mu (3 shared papers)
- Journals
- IEEE Access (6 papers)Expert Systems with Applications (6 papers)IEEE Transactions on Multimedia (2 papers)Knowledge-Based Systems (2 papers)Journal of Intelligent & Fuzzy Systems (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Libin Yang
67 papers receiving 953 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 649
- Health Informatics 25
- Information Systems 338
- Statistical and Nonlinear Physics 84
- Computer Vision and Pattern Recognition 136
Countries citing papers authored by Libin Yang
This map shows the geographic impact of Libin Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Libin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libin Yang more than expected).
Fields of papers citing papers by Libin Yang
This network shows the impact of papers produced by Libin Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Libin Yang. The network helps show where Libin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Libin Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 106 | |
| 2 | 2018 | 70 | |
| 3 | 2018 | 68 | |
| 4 | 2018 | 56 | |
| 5 | 2021 | 53 | |
| 6 | Survey on Spectral Clustering Algorithms | 2008 | 43 |
| 7 | 2013 | 42 | |
| 8 | 2018 | 40 | |
| 9 | 2017 | 37 | |
| 10 | 2003 | 35 | |
| 11 | 2021 | 27 | |
| 12 | 2019 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2022 | 24 | |
| 15 | 2019 | 22 | |
| 16 | 2024 | 17 | |
| 17 | 2018 | 16 | |
| 18 | 2021 | 13 | |
| 19 | 2018 | 13 | |
| 20 | 2024 | 12 |
About Libin Yang
Libin Yang is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Molecular Biology and Electrical and Electronic Engineering, having authored 71 papers that have together received 992 indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Advanced Graph Neural Networks (16 papers), Natural Language Processing Techniques (13 papers), Recommender Systems and Techniques (13 papers), Advanced Text Analysis Techniques (7 papers), Biomedical Text Mining and Ontologies (6 papers), Machine Learning in Healthcare (4 papers) and Auction Theory and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (649 citations), Health Informatics (25 citations), Information Systems (338 citations), Statistical and Nonlinear Physics (84 citations) and Computer Vision and Pattern Recognition (136 citations). Libin Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaoyan Cai, Junwei Han, Lantian Guo, Dejun Mu, Tao Dai, Shirui Pan, Yu Zheng, Dejun Mu, Tianming Liu and Sen Liu. Their work appears in journals such as IEEE Access, Expert Systems with Applications, IEEE Transactions on Multimedia, Knowledge-Based Systems and Journal of Intelligent & Fuzzy Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.