Emma Chen
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
-
- Artificial Intelligence in Healthcare
Papers in ⓘ
-
- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Pranav Rajpurkar (7 shared papers)Eric J. Topol (2 shared papers)Oishi Banerjee (1 shared paper)David Kim (2 shared papers)Vijay Janapa Reddi (1 shared paper)Agustina Saenz (1 shared paper)Henrik Marklund (1 shared paper)G. T. Haupert (1 shared paper)
- Journals
- Nature Biomedical Engineering (1 paper)Nature Medicine (1 paper)The Lancet Digital Health (1 paper)Journal of Biomedical Informatics (1 paper)Scientific Data (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Emma Chen
12 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Health Informatics 593
- Health Information Management 133
- Radiology, Nuclear Medicine and Imaging 414
- Family Practice 39
- Artificial Intelligence 456
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 | 1337 |
| 2 | 2023 | 24 | |
| 3 | 2023 | 16 | |
| 4 | 2025 | 14 | |
| 5 | 1988 | 13 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 |
About Emma Chen
Emma Chen is a scholar working on Health Informatics, Issues, ethics and legal aspects, Biological Psychiatry, Health Information Management and Periodontics, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (3 papers), AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (2 papers), Emergency and Acute Care Studies (2 papers), Coral and Marine Ecosystems Studies (2 papers), Cell Image Analysis Techniques (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (593 citations), Health Information Management (133 citations), Radiology, Nuclear Medicine and Imaging (414 citations), Family Practice (39 citations) and Artificial Intelligence (456 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, David Kim, Vijay Janapa Reddi, Agustina Saenz, Henrik Marklund, G. T. Haupert, Mikhail Y. Shalaginov and S. Ray. Their work appears in journals such as Nature Biomedical Engineering, Nature Medicine, The Lancet Digital Health, Journal of Biomedical Informatics and Scientific Data.
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.