Chao‐Yuan Yeh
Impact in
- Health Informatics top 5%
- Urology top 5%
- Hair Growth and Disorders
Papers in
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- Radiomics and Machine Learning in Medical Imaging 9
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- AI in cancer detection 9
- Co-authors
- Randall B. Widelitz (6 shared papers)Cheng‐Ming Chuong (4 shared papers)Chi‐Chung Chen (6 shared papers)Wei-Hsiang Yu (7 shared papers)Ping Wu (5 shared papers)Chi-Hung Weng (4 shared papers)Tsung‐Ting Tsai (3 shared papers)Chen-Ju Fu (3 shared papers)
- Journals
- Nature Communications (3 papers)Scientific Reports (2 papers)Cancers (2 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chao‐Yuan Yeh
32 papers receiving 924 citations
Peers
Comparison fields: 5 of 123
- Health Informatics 30
- Urology 90
- Cell Biology 180
- Radiology, Nuclear Medicine and Imaging 217
- Biophysics 49
Countries citing papers authored by Chao‐Yuan Yeh
This map shows the geographic impact of Chao‐Yuan Yeh'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 Chao‐Yuan Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao‐Yuan Yeh more than expected).
Fields of papers citing papers by Chao‐Yuan Yeh
This network shows the impact of papers produced by Chao‐Yuan Yeh. 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 Chao‐Yuan Yeh. The network helps show where Chao‐Yuan Yeh may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao‐Yuan Yeh, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 144 | |
| 2 | 2017 | 105 | |
| 3 | 2013 | 93 | |
| 4 | 2021 | 65 | |
| 5 | 2012 | 50 | |
| 6 | 2018 | 47 | |
| 7 | 2021 | 42 | |
| 8 | 2019 | 40 | |
| 9 | 2021 | 38 | |
| 10 | 2022 | 37 | |
| 11 | 2020 | 32 | |
| 12 | 2015 | 31 | |
| 13 | 2020 | 29 | |
| 14 | 2019 | 22 | |
| 15 | 2019 | 22 | |
| 16 | 2019 | 20 | |
| 17 | 2020 | 18 | |
| 18 | 2017 | 16 | |
| 19 | 2021 | 14 | |
| 20 | 2022 | 12 |
About Chao‐Yuan Yeh
Chao‐Yuan Yeh is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Surgery, Biomedical Engineering and Cell Biology, having authored 34 papers that have together received 936 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Skin and Cellular Biology Research (4 papers), Scoliosis diagnosis and treatment (3 papers), Hair Growth and Disorders (3 papers), Medical Imaging and Analysis (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Spinal Fractures and Fixation Techniques (3 papers). The work is most often cited by research in Health Informatics (30 citations), Urology (90 citations), Cell Biology (180 citations), Radiology, Nuclear Medicine and Imaging (217 citations) and Biophysics (49 citations). Chao‐Yuan Yeh has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Randall B. Widelitz, Cheng‐Ming Chuong, Chi‐Chung Chen, Wei-Hsiang Yu, Ping Wu, Chi-Hung Weng, Tsung‐Ting Tsai, Chen-Ju Fu, Yu‐Cheng Yeh and Chi‐Long Chen. Their work appears in journals such as Nature Communications, Scientific Reports, Cancers, Proceedings of the National Academy of Sciences and Blood.
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.