Bowen Chen
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Hepatocellular Carcinoma Treatment and Prognosis 2
- Co-authors
- Faisal MahmoodDrew F. K. WilliamsonRichard J. ChenMing Y. LuLong P. LeTong DingAnurag VaidyaMuhammad Shaban
- Journals
- Nature Medicine (2 papers)International Journal of Biological Macromolecules (2 papers)Clinical Cancer Research (1 paper)The Prostate (1 paper)Hepatology International (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Bowen Chen
28 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Health Informatics 180
- Radiology, Nuclear Medicine and Imaging 508
- Artificial Intelligence 629
- Biophysics 95
- Cancer Research 140
Countries citing papers authored by Bowen Chen
This map shows the geographic impact of Bowen 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 Bowen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bowen Chen more than expected).
Fields of papers citing papers by Bowen Chen
This network shows the impact of papers produced by Bowen 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 Bowen Chen. The network helps show where Bowen Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bowen 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 27 | |
| 4 | 2024 | 1 | |
| 5 | A multimodal generative AI copilot for human pathology Hit paper breakdown → | 2024 | 156 |
| 6 | A visual-language foundation model for computational pathology Hit paper breakdown → | 2024 | 228 |
| 7 | 2024 | 1 | |
| 8 | Towards a general-purpose foundation model for computational pathology Hit paper breakdown → | 2024 | 331 |
| 9 | 2024 | 11 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 0 | |
| 14 | Artificial intelligence for multimodal data integration in oncology Hit paper breakdown → | 2022 | 333 |
| 15 | 2022 | 14 | |
| 16 | 2022 | 27 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 24 | |
| 19 | 2021 | 20 | |
| 20 | 2021 | 18 |
About Bowen Chen
Bowen Chen is a scholar working on Health Informatics, Hepatology, Artificial Intelligence, Cancer Research and Water Science and Technology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Biomedical Text Mining and Ontologies (4 papers), Single-cell and spatial transcriptomics (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Machine Learning in Healthcare (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Health Informatics (180 citations), Radiology, Nuclear Medicine and Imaging (508 citations), Artificial Intelligence (629 citations), Biophysics (95 citations) and Cancer Research (140 citations). Bowen Chen has collaborated with scholars based in United States, China and France. Frequent co-authors include Faisal Mahmood, Drew F. K. Williamson, Richard J. Chen, Ming Y. Lu, Long P. Le, Tong Ding, Anurag Vaidya, Muhammad Shaban, Georg K. Gerber and Guillaume Jaume. Their work appears in journals such as Nature Medicine, International Journal of Biological Macromolecules, Clinical Cancer Research, The Prostate and Hepatology International.
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.