Sen Yang
Impact in
- Health Informatics top 2%
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Digital Imaging for Blood Diseases 7
- Optical measurement and interference techniques 6
- Advanced Vision and Imaging 6
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- AI in cancer detection 16
- Co-authors
- Xiyue Wang (32 shared papers)Xiao Han (19 shared papers)Jun Zhang (16 shared papers)Minghui Wang (9 shared papers)Wei Yang (11 shared papers)Junzhou Huang (9 shared papers)Jing Zhang (2 shared papers)Jing Zhang (9 shared papers)
- Journals
- Medical Image Analysis (5 papers)Agronomy (3 papers)Frontiers in Plant Science (3 papers)Computers in Biology and Medicine (2 papers)Computational and Structural Biotechnology Journal (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Sen Yang
59 papers receiving 1.5k citations
Sen Yang's Hit Papers
Peers
Comparison fields: 5 of 117
- Health Informatics 51
- Radiology, Nuclear Medicine and Imaging 556
- Artificial Intelligence 827
- Computer Vision and Pattern Recognition 482
- Biophysics 104
Countries citing papers authored by Sen Yang
This map shows the geographic impact of Sen Yang'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 Sen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Yang more than expected).
Fields of papers citing papers by Sen Yang
This network shows the impact of papers produced by Sen Yang. 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 Sen Yang. The network helps show where Sen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Yang, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transformer-based unsupervised contrastive learning for histopathological image classification Hit paper breakdown → | 2022 | 358 |
| 2 | 2022 | 131 | |
| 3 | 2020 | 131 | |
| 4 | 2021 | 114 | |
| 5 | 2021 | 102 | |
| 6 | A vision–language foundation model for precision oncology Hit paper breakdown → | 2025 | 75 |
| 7 | 2022 | 47 | |
| 8 | 2020 | 43 | |
| 9 | 2018 | 42 | |
| 10 | 2022 | 40 | |
| 11 | 2022 | 36 | |
| 12 | 2019 | 30 | |
| 13 | 2020 | 28 | |
| 14 | 2023 | 26 | |
| 15 | 2021 | 22 | |
| 16 | 2021 | 20 | |
| 17 | 2019 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2014 | 16 |
About Sen Yang
Sen Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Plant Science and Media Technology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Smart Agriculture and AI (8 papers), Digital Imaging for Blood Diseases (7 papers), Image Processing Techniques and Applications (6 papers), Optical measurement and interference techniques (6 papers), Advanced Vision and Imaging (6 papers) and Plant Disease Management Techniques (4 papers). The work is most often cited by research in Health Informatics (51 citations), Radiology, Nuclear Medicine and Imaging (556 citations), Artificial Intelligence (827 citations), Computer Vision and Pattern Recognition (482 citations) and Biophysics (104 citations). Sen Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiyue Wang, Xiao Han, Jun Zhang, Minghui Wang, Wei Yang, Junzhou Huang, Jing Zhang, Jing Zhang, Yuqi Fang and Jinxi Xiang. Their work appears in journals such as Medical Image Analysis, Agronomy, Frontiers in Plant Science, Computers in Biology and Medicine and Computational and Structural Biotechnology Journal.
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.