Andrew Wen
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
Papers in
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- Machine Learning in Healthcare 14
- Topic Modeling 8
- Natural Language Processing Techniques 7
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- Biomedical Text Mining and Ontologies 18
- Bioinformatics and Genomic Networks 5
- Co-authors
- Hongfang Liu (48 shared papers)Sijia Liu (27 shared papers)Sunghwan Sohn (14 shared papers)Sunyang Fu (23 shared papers)Thomas G. Keens (1 shared paper)Marlyn S. Woo (1 shared paper)Feichen Shen (15 shared papers)Liwei Wang (22 shared papers)
- Journals
- Journal of Biomedical Informatics (7 papers)npj Digital Medicine (5 papers)Journal of Medical Internet Research (3 papers)Journal of the American Medical Informatics Association (3 papers)Briefings in Bioinformatics (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Andrew Wen
59 papers receiving 902 citations
Peers
Comparison fields: 5 of 99
- Health Informatics 63
- Health Information Management 129
- Artificial Intelligence 254
- Toxicology 21
- Issues, ethics and legal aspects 6
Countries citing papers authored by Andrew Wen
This map shows the geographic impact of Andrew Wen'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 Andrew Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Wen more than expected).
Fields of papers citing papers by Andrew Wen
This network shows the impact of papers produced by Andrew Wen. 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 Andrew Wen. The network helps show where Andrew Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Wen, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 117 | |
| 2 | 1997 | 105 | |
| 3 | 2019 | 89 | |
| 4 | 2019 | 41 | |
| 5 | 2019 | 37 | |
| 6 | 2020 | 32 | |
| 7 | 2022 | 32 | |
| 8 | 2022 | 28 | |
| 9 | Integrating Structured and Unstructured EHR Data Using an FHIR-based Type System: A Case Study with Medication Data. | 2018 | 26 |
| 10 | 2018 | 26 | |
| 11 | 2020 | 26 | |
| 12 | 2022 | 24 | |
| 13 | 2019 | 24 | |
| 14 | 2019 | 21 | |
| 15 | 2022 | 21 | |
| 16 | 2021 | 19 | |
| 17 | 2019 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2019 | 18 | |
| 20 | 2022 | 17 |
About Andrew Wen
Andrew Wen is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Public Health, Environmental and Occupational Health and Toxicology, having authored 65 papers that have together received 925 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (18 papers), Machine Learning in Healthcare (14 papers), Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Bioinformatics and Genomic Networks (5 papers), Artificial Intelligence in Healthcare (4 papers), Computational Drug Discovery Methods (3 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Health Informatics (63 citations), Health Information Management (129 citations), Artificial Intelligence (254 citations), Toxicology (21 citations) and Issues, ethics and legal aspects (6 citations). Andrew Wen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Hongfang Liu, Sijia Liu, Sunghwan Sohn, Sunyang Fu, Thomas G. Keens, Marlyn S. Woo, Feichen Shen, Liwei Wang, Guoqian Jiang and Sungrim Moon. Their work appears in journals such as Journal of Biomedical Informatics, npj Digital Medicine, Journal of Medical Internet Research, Journal of the American Medical Informatics Association and Briefings in Bioinformatics.
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.