Emma Chen
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 3
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- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 2
- Co-authors
- Pranav Rajpurkar (7 shared papers)Eric J. Topol (2 shared papers)Oishi Banerjee (1 shared paper)Vijay Janapa Reddi (1 shared paper)David Kim (3 shared papers)Agustina Saenz (1 shared paper)Henrik Marklund (1 shared paper)S. Ray (1 shared paper)
- Journals
- Nature Medicine (1 paper)Aquaculture (1 paper)Journal of Biomedical Informatics (1 paper)The Lancet Digital Health (1 paper)Cell (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Emma Chen
13 papers receiving 1.6k citations
Emma Chen's Hit Papers
Peers
Comparison fields: 5 of 159
- Health Informatics 551
- Health Information Management 101
- Radiology, Nuclear Medicine and Imaging 326
- Family Practice 21
- Artificial Intelligence 376
Countries citing papers authored by Emma Chen
This map shows the geographic impact of Emma 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 Emma Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Chen more than expected).
Fields of papers citing papers by Emma Chen
This network shows the impact of papers produced by Emma 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 Emma Chen. The network helps show where Emma Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Emma 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 | AI in health and medicine Hit paper breakdown → | 2022 | 1478 |
| 2 | 2023 | 25 | |
| 3 | 2025 | 25 | |
| 4 | 2023 | 16 | |
| 5 | 1988 | 13 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 8 | |
| 8 | 2024 | 2 | |
| 9 | 2021 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2023 | 0 |
About Emma Chen
Emma Chen is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Health Informatics, Ecology and Surgery, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), AI in cancer detection (3 papers), Coral and Marine Ecosystems Studies (2 papers), COVID-19 diagnosis using AI (2 papers), Artificial Intelligence in Healthcare (1 paper), Circadian rhythm and melatonin (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Health Informatics (551 citations), Health Information Management (101 citations), Radiology, Nuclear Medicine and Imaging (326 citations), Family Practice (21 citations) and Artificial Intelligence (376 citations). Emma Chen has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Pranav Rajpurkar, Eric J. Topol, Oishi Banerjee, Vijay Janapa Reddi, David Kim, Agustina Saenz, Henrik Marklund, S. Ray, Mikhail Y. Shalaginov and Horacio F. Cantiello. Their work appears in journals such as Nature Medicine, Aquaculture, Journal of Biomedical Informatics, The Lancet Digital Health and Cell.
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.