Ke Yan
Impact in
- Health Informatics top 2%
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
Papers in
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- Advanced Neural Network Applications 8
- Advanced Image and Video Retrieval Techniques 4
- Video Surveillance and Tracking Methods 3
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- AI in cancer detection 6
- Co-authors
- Ronald M. Summers (7 shared papers)Veit Sandfort (3 shared papers)Perry J. Pickhardt (1 shared paper)Le Lü (7 shared papers)Xiaosong Wang (1 shared paper)Youbao Tang (4 shared papers)Huizhu Jia (1 shared paper)Shijian Lu (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)Scientific Reports (1 paper)npj Digital Medicine (1 paper)Computers, materials & continua/Computers, materials & continua (Print) (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Ke Yan
18 papers receiving 1.4k citations
Ke Yan's Hit Papers
Peers
Comparison fields: 5 of 125
- Health Informatics 78
- Computer Vision and Pattern Recognition 612
- Radiology, Nuclear Medicine and Imaging 612
- Artificial Intelligence 470
- Media Technology 66
Countries citing papers authored by Ke Yan
This map shows the geographic impact of Ke Yan'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 Ke Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yan more than expected).
Fields of papers citing papers by Ke Yan
This network shows the impact of papers produced by Ke Yan. 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 Ke Yan. The network helps show where Ke Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Yan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks Hit paper breakdown → | 2019 | 439 |
| 2 | DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning Hit paper breakdown → | 2018 | 292 |
| 3 | 2020 | 146 | |
| 4 | 2018 | 135 | |
| 5 | 2018 | 73 | |
| 6 | 2021 | 72 | |
| 7 | 2016 | 46 | |
| 8 | 2020 | 43 | |
| 9 | 2018 | 31 | |
| 10 | 2019 | 31 | |
| 11 | 2019 | 25 | |
| 12 | 2022 | 22 | |
| 13 | 2021 | 17 | |
| 14 | 2019 | 11 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2025 | 2 | |
| 18 | 2017 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Ke Yan
Ke Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Neural Network Applications (8 papers), AI in cancer detection (6 papers), COVID-19 diagnosis using AI (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Gait Recognition and Analysis (2 papers). The work is most often cited by research in Health Informatics (78 citations), Computer Vision and Pattern Recognition (612 citations), Radiology, Nuclear Medicine and Imaging (612 citations), Artificial Intelligence (470 citations) and Media Technology (66 citations). Ke Yan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ronald M. Summers, Veit Sandfort, Perry J. Pickhardt, Le Lü, Xiaosong Wang, Youbao Tang, Huizhu Jia, Shijian Lu, Wen Gao and Fan Yang. Their work appears in journals such as IEEE Transactions on Medical Imaging, Scientific Reports, npj Digital Medicine, Computers, materials & continua/Computers, materials & continua (Print) and Medical Image Analysis.
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.