Chen Lin
Impact in
- Health Informatics top 2%
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning in Healthcare
Papers in ⓘ
-
- Recommender Systems and Techniques 26
- Expert finding and Q&A systems 9
-
- Topic Modeling 39
- Natural Language Processing Techniques 20
- Advanced Graph Neural Networks 9
- Co-authors
- Quan Zou (13 shared papers)Guergana Savova (22 shared papers)Timothy A. Miller (17 shared papers)Dmitriy Dligach (16 shared papers)Steven Bethard (15 shared papers)Cheng Qiu (1 shared paper)Yunfeng Wu (1 shared paper)Wenqiang Chen (1 shared paper)
- Journals
- Briefings in Bioinformatics (5 papers)Frontiers in Genetics (5 papers)IEEE Access (3 papers)Journal of the American Medical Informatics Association (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chen Lin
141 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 164
- Health Informatics 55
- Artificial Intelligence 984
- Information Systems 427
- Health Information Management 67
- Molecular Biology 976
Countries citing papers authored by Chen Lin
This map shows the geographic impact of Chen Lin'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 Chen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Lin more than expected).
Fields of papers citing papers by Chen Lin
This network shows the impact of papers produced by Chen Lin. 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 Chen Lin. The network helps show where Chen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Lin, 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 208 | |
| 2 | 2013 | 155 | |
| 3 | 2019 | 109 | |
| 4 | 2013 | 98 | |
| 5 | 2021 | 87 | |
| 6 | 2013 | 71 | |
| 7 | 2018 | 69 | |
| 8 | 2017 | 65 | |
| 9 | 2017 | 65 | |
| 10 | 2012 | 65 | |
| 11 | 2021 | 54 | |
| 12 | 2019 | 51 | |
| 13 | 2015 | 49 | |
| 14 | 2013 | 47 | |
| 15 | 2019 | 44 | |
| 16 | 2021 | 43 | |
| 17 | 2022 | 42 | |
| 18 | 2020 | 37 | |
| 19 | 2021 | 34 | |
| 20 | 2022 | 31 |
About Chen Lin
Chen Lin is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Management Science and Operations Research, having authored 158 papers that have together received 2.4k indexed citations. Recurring topics across this work include Topic Modeling (39 papers), Recommender Systems and Techniques (26 papers), Natural Language Processing Techniques (20 papers), Biomedical Text Mining and Ontologies (16 papers), Single-cell and spatial transcriptomics (9 papers), Advanced Graph Neural Networks (9 papers), Expert finding and Q&A systems (9 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Health Informatics (55 citations), Artificial Intelligence (984 citations), Information Systems (427 citations), Health Information Management (67 citations) and Molecular Biology (976 citations). Chen Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Quan Zou, Guergana Savova, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Cheng Qiu, Yunfeng Wu, Wenqiang Chen, Sridhar Krishnan and Xiangrong Liu. Their work appears in journals such as Briefings in Bioinformatics, Frontiers in Genetics, IEEE Access, Journal of the American Medical Informatics Association and Biochemical and Biophysical Research Communications.
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.