Shan Chen
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Topic Modeling 5
- Machine Learning in Healthcare 3
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- Artificial Intelligence in Healthcare and Education 4
- Co-authors
- Danielle S. Bitterman (9 shared papers)Hugo J.W.L. Aerts (5 shared papers)Guergana Savova (4 shared papers)Marco Guevara-Vega (4 shared papers)Shalini Moningi (3 shared papers)Benjamin H. Kann (2 shared papers)Raymond H. Mak (3 shared papers)Spencer A. Thomas (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (2 papers)JCO Clinical Cancer Informatics (2 papers)The Lancet Digital Health (1 paper)npj Digital Medicine (1 paper)JNCI Cancer Spectrum (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Shan Chen
8 papers receiving 226 citations
Shan Chen's Hit Papers
Peers
Comparison fields: 5 of 71
- Health Informatics 88
- Health Information Management 33
- Family Practice 8
- Artificial Intelligence 105
- Health 17
Countries citing papers authored by Shan Chen
This map shows the geographic impact of Shan Chen'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 Shan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Chen more than expected).
Fields of papers citing papers by Shan Chen
This network shows the impact of papers produced by Shan Chen. 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 Shan Chen. The network helps show where Shan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Large language models to identify social determinants of health in electronic health records Hit paper breakdown → | 2024 | 119 |
| 2 | 2024 | 49 | |
| 3 | 2024 | 38 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 0 |
About Shan Chen
Shan Chen is a scholar working on Artificial Intelligence, Health Informatics, General Health Professions, Molecular Biology and Health, having authored 9 papers that have together received 231 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Machine Learning in Healthcare (3 papers), Lung Cancer Diagnosis and Treatment (1 paper), Health Literacy and Information Accessibility (1 paper), Food Security and Health in Diverse Populations (1 paper), Patient-Provider Communication in Healthcare (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Health Informatics (88 citations), Health Information Management (33 citations), Family Practice (8 citations), Artificial Intelligence (105 citations) and Health (17 citations). Shan Chen has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Danielle S. Bitterman, Hugo J.W.L. Aerts, Guergana Savova, Marco Guevara-Vega, Shalini Moningi, Benjamin H. Kann, Raymond H. Mak, Spencer A. Thomas, Tafadzwa L. Chaunzwa and Idalid Franco. Their work appears in journals such as Journal of the American Medical Informatics Association, JCO Clinical Cancer Informatics, The Lancet Digital Health, npj Digital Medicine and JNCI Cancer Spectrum.
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.