Feng Yan
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Advanced Graph Neural Networks
- Anomaly Detection Techniques and Applications
Papers in
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- Optical Coherence Tomography Applications 18
- Photoacoustic and Ultrasonic Imaging 7
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- Adversarial Robustness in Machine Learning 7
- Domain Adaptation and Few-Shot Learning 6
- Advanced Graph Neural Networks 4
- Co-authors
- Chun Chen (9 shared papers)Defang Chen (6 shared papers)Jian-Ping Mei (3 shared papers)Can Wang (6 shared papers)Can Wang (3 shared papers)Yuan Zhang (1 shared paper)Zhe Wang (1 shared paper)Hailin Zhang (1 shared paper)
- Journals
- Biomedical Optics Express (5 papers)Journal of Biophotonics (3 papers)Scientific Reports (3 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Feng Yan
44 papers receiving 1.1k citations
Feng Yan's Hit Papers
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 405
- Artificial Intelligence 554
- Neurology 75
- Computer Science Applications 27
- Information Systems 103
Countries citing papers authored by Feng Yan
This map shows the geographic impact of Feng 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 Feng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yan more than expected).
Fields of papers citing papers by Feng Yan
This network shows the impact of papers produced by Feng 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 Feng Yan. The network helps show where Feng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 214 | |
| 2 | Cross-Layer Distillation with Semantic Calibration Hit paper breakdown → | 2021 | 207 |
| 3 | 2022 | 131 | |
| 4 | 2023 | 64 | |
| 5 | 2021 | 53 | |
| 6 | 2019 | 45 | |
| 7 | 2021 | 33 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 2020 | 23 | |
| 11 | 2022 | 23 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2024 | 16 | |
| 16 | 2019 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2022 | 10 |
About Feng Yan
Feng Yan is a scholar working on Biomedical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (18 papers), Advanced Neural Network Applications (7 papers), Adversarial Robustness in Machine Learning (7 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Retinal Imaging and Analysis (4 papers), Advanced Graph Neural Networks (4 papers) and Molecular Sensors and Ion Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (405 citations), Artificial Intelligence (554 citations), Neurology (75 citations), Computer Science Applications (27 citations) and Information Systems (103 citations). Feng Yan has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Chun Chen, Defang Chen, Jian-Ping Mei, Can Wang, Can Wang, Yuan Zhang, Zhe Wang, Hailin Zhang, Shu‐Tao Xia and Qinggong Tang. Their work appears in journals such as Biomedical Optics Express, Journal of Biophotonics, Scientific Reports, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and IEEE Transactions on Biomedical Engineering.
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.