Wei‐Feng Yan
Impact in
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- Cardiovascular Function and Risk Factors
- Cardiovascular Disease and Adiposity
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- Cardiac Imaging and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
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- Cardiovascular Function and Risk Factors 24
- Cardiovascular Disease and Adiposity 4
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- Cardiac Imaging and Diagnostics 6
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced MRI Techniques and Applications 2
- Co-authors
- Zhi‐gang Yang (43 shared papers)Wen‐Lei Qian (22 shared papers)Yingkun Guo (29 shared papers)Yuan Li (15 shared papers)Li Jiang (15 shared papers)Xin Tang (7 shared papers)Ke Shi (9 shared papers)Shan Huang (11 shared papers)
In The Last Decade
Wei‐Feng Yan
56 papers receiving 452 citations
Peers
Comparison fields: 5 of 53
- Cardiology and Cardiovascular Medicine 164
- Radiology, Nuclear Medicine and Imaging 94
- Otorhinolaryngology 14
- Pulmonary and Respiratory Medicine 38
- Endocrinology, Diabetes and Metabolism 19
Countries citing papers authored by Wei‐Feng Yan
This map shows the geographic impact of Wei‐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 Wei‐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 Wei‐Feng Yan more than expected).
Fields of papers citing papers by Wei‐Feng Yan
This network shows the impact of papers produced by Wei‐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 Wei‐Feng Yan. The network helps show where Wei‐Feng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 29 | |
| 2 | 2022 | 27 | |
| 3 | 2021 | 25 | |
| 4 | 2010 | 22 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2022 | 17 | |
| 8 | 2020 | 17 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2024 | 10 |
About Wei‐Feng Yan
Wei‐Feng Yan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 62 papers that have together received 454 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (24 papers), Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Disease and Adiposity (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced MRI Techniques and Applications (2 papers), Ultrasound and Hyperthermia Applications (1 paper), Head and Neck Cancer Studies (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (164 citations), Radiology, Nuclear Medicine and Imaging (94 citations), Otorhinolaryngology (14 citations), Pulmonary and Respiratory Medicine (38 citations) and Endocrinology, Diabetes and Metabolism (19 citations). Wei‐Feng Yan has collaborated with scholars based in China, Thailand and Australia. Frequent co-authors include Zhi‐gang Yang, Wen‐Lei Qian, Yingkun Guo, Yuan Li, Li Jiang, Xin Tang, Ke Shi, Shan Huang, Dédée F. Murrell and Xue‐Ming Li. Their work appears in journals such as Cardiovascular Diabetology, Journal of Magnetic Resonance Imaging, Frontiers in Cardiovascular Medicine, Frontiers in Oncology and BMC Cancer.
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.