Yehang Chen
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 21
- MRI in cancer diagnosis 3
- COVID-19 diagnosis using AI 2
- Medical Imaging Techniques and Applications 2
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- Lung Cancer Diagnosis and Treatment 8
- Gastric Cancer Management and Outcomes 4
- Co-authors
- Wansheng Long (23 shared papers)Bao Feng (22 shared papers)Xiangmeng Chen (12 shared papers)Zhuangsheng Liu (8 shared papers)Ronggang Li (7 shared papers)Enming Cui (8 shared papers)Kunwei Li (7 shared papers)Zhi Li (3 shared papers)
- Journals
- European Radiology (4 papers)Frontiers in Oncology (3 papers)Cancer Imaging (2 papers)Nature Communications (2 papers)European Journal of Radiology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yehang Chen
23 papers receiving 379 citations
Peers
Comparison fields: 5 of 49
- Radiology, Nuclear Medicine and Imaging 318
- Health Informatics 14
- Pulmonary and Respiratory Medicine 174
- Artificial Intelligence 76
- Biomedical Engineering 81
Countries citing papers authored by Yehang Chen
This map shows the geographic impact of Yehang 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 Yehang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yehang Chen more than expected).
Fields of papers citing papers by Yehang Chen
This network shows the impact of papers produced by Yehang 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 Yehang Chen. The network helps show where Yehang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yehang 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | 2020 | 50 | |
| 3 | 2020 | 48 | |
| 4 | 2020 | 35 | |
| 5 | 2024 | 25 | |
| 6 | 2022 | 23 | |
| 7 | 2020 | 17 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2025 | 5 | |
| 20 | 2024 | 4 |
About Yehang Chen
Yehang Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Biomedical Engineering and Oncology, having authored 26 papers that have together received 382 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Lung Cancer Diagnosis and Treatment (8 papers), Advanced X-ray and CT Imaging (4 papers), AI in cancer detection (4 papers), Gastric Cancer Management and Outcomes (4 papers), MRI in cancer diagnosis (3 papers), COVID-19 diagnosis using AI (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (318 citations), Health Informatics (14 citations), Pulmonary and Respiratory Medicine (174 citations), Artificial Intelligence (76 citations) and Biomedical Engineering (81 citations). Yehang Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wansheng Long, Bao Feng, Xiangmeng Chen, Zhuangsheng Liu, Ronggang Li, Enming Cui, Kunwei Li, Zhi Li, Kunfeng Liu and Xueguo Liu. Their work appears in journals such as European Radiology, Frontiers in Oncology, Cancer Imaging, Nature Communications and European Journal of Radiology.
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.