Kun‐Hsing Yu
Impact in
- Health Informatics top 0.02%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 11
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- Bioinformatics and Genomic Networks 4
- Co-authors
- Isaac S. Kohane (21 shared papers)Andrew L. Beam (1 shared paper)M Snyder (12 shared papers)Russ B. Altman (4 shared papers)Christopher Ré (5 shared papers)Gerald J. Berry (3 shared papers)Daniel L. Rubin (2 shared papers)Ce Zhang (1 shared paper)
- Journals
- Journal of Proteome Research (3 papers)Academic Medicine (2 papers)Molecular & Cellular Proteomics (2 papers)Journal of Clinical Oncology (2 papers)Journal of the American Medical Informatics Association (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Kun‐Hsing Yu
58 papers receiving 4.7k citations
Kun‐Hsing Yu's Hit Papers
Peers
Comparison fields: 5 of 185
- Health Informatics 1.0k
- Health Information Management 318
- Radiology, Nuclear Medicine and Imaging 1.1k
- Artificial Intelligence 1.2k
- Family Practice 49
Countries citing papers authored by Kun‐Hsing Yu
This map shows the geographic impact of Kun‐Hsing Yu'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 Kun‐Hsing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Hsing Yu more than expected).
Fields of papers citing papers by Kun‐Hsing Yu
This network shows the impact of papers produced by Kun‐Hsing Yu. 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 Kun‐Hsing Yu. The network helps show where Kun‐Hsing Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun‐Hsing Yu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence in healthcare Hit paper breakdown → | 2018 | 1888 |
| 2 | Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features Hit paper breakdown → | 2016 | 729 |
| 3 | Suicide Rates Among Adolescents and Young Adults in the United States, 2000-2017 Hit paper breakdown → | 2019 | 224 |
| 4 | 2018 | 162 | |
| 5 | 2016 | 124 | |
| 6 | 2019 | 113 | |
| 7 | 2016 | 89 | |
| 8 | 2011 | 88 | |
| 9 | 2019 | 86 | |
| 10 | 2020 | 86 | |
| 11 | 2017 | 81 | |
| 12 | A vision–language foundation model for precision oncology Hit paper breakdown → | 2025 | 75 |
| 13 | 2024 | 69 | |
| 14 | 2015 | 66 | |
| 15 | 2021 | 62 | |
| 16 | 2021 | 59 | |
| 17 | 2011 | 52 | |
| 18 | 2011 | 51 | |
| 19 | 2020 | 50 | |
| 20 | 2021 | 46 |
About Kun‐Hsing Yu
Kun‐Hsing Yu is a scholar working on Artificial Intelligence, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 4.9k indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Cancer Immunotherapy and Biomarkers (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Bioinformatics and Genomic Networks (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Health Informatics (1.0k citations), Health Information Management (318 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Artificial Intelligence (1.2k citations) and Family Practice (49 citations). Kun‐Hsing Yu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Isaac S. Kohane, Andrew L. Beam, M Snyder, Russ B. Altman, Christopher Ré, Gerald J. Berry, Daniel L. Rubin, Ce Zhang, Oren Miron and Rachel Wilf‐Miron. Their work appears in journals such as Journal of Proteome Research, Academic Medicine, Molecular & Cellular Proteomics, Journal of Clinical Oncology and Journal of the American Medical Informatics Association.
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.