Irene Y. Chen
- Health Informatics top 0.1%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Public Health, Environmental and Occupational Health
- Health Information Management top 1%
- Co-authors
- Marzyeh GhassemiLaleh Seyyed-KalantariMatthew B. A. McDermottHaoran ZhangPeter SzolovitsAndrew L. BeamTristan NaumannPeter Schulam
- Topics
- Machine Learning in Healthcare (7 papers)Artificial Intelligence in Healthcare and Education (7 papers)Healthcare cost, quality, practices (3 papers)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Irene Y. Chen
28 papers receiving 995 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Health Informatics 480
- Artificial Intelligence 384
- Radiology, Nuclear Medicine and Imaging 251
- Public Health, Environmental and Occupational Health 112
- Health Information Management 111
Countries citing papers authored by Irene Y. Chen
This map shows the geographic impact of Irene Y. 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 Irene Y. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Y. Chen more than expected).
Fields of papers citing papers by Irene Y. Chen
This network shows the impact of papers produced by Irene Y. 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 Irene Y. Chen. The network helps show where Irene Y. Chen may publish in the future.
Co-authorship network of co-authors of Irene Y. Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Irene Y. Chen. A scholar is included among the top collaborators of Irene Y. Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Irene Y. Chen. Irene Y. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populationsbreakdown → | 361 |
| 15 | Ethical Machine Learning in Health | 5 |
| 16 | 90 | |
| 17 | 211 | |
| 18 | 52 | |
| 19 | Why Is My Classifier Discriminatory | 25 |
| 20 | 1 |
About Irene Y. Chen
Irene Y. Chen is a scholar working on Health Informatics, Rheumatology and Oncology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Healthcare cost, quality, practices (3 papers). The work is most often cited by research in Health Informatics (480 citations), Health Information Management (111 citations) and Artificial Intelligence (384 citations). Irene Y. Chen has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Marzyeh Ghassemi, Laleh Seyyed-Kalantari, Matthew B. A. McDermott, Haoran Zhang, Peter Szolovits, Andrew L. Beam, Tristan Naumann, Peter Schulam, Rajesh Ranganath and Shalmali Joshi. Their work appears in journals such as Nature Medicine, The American Journal of Gastroenterology and Health Affairs.
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.