Kun Wu
Impact in
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- Vitamin D Research Studies
- Genetic factors in colorectal cancer
Papers in
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- Advanced Image Processing Techniques 3
- Face and Expression Recognition 2
- Image and Signal Denoising Methods 2
- Image Enhancement Techniques 1
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- Artificial Intelligence in Games 1
- Co-authors
- Edward L. Giovannucci (3 shared papers)F. B. Hu (2 shared papers)W. C. Willett (2 shared papers)Charles S. Fuchs (2 shared papers)Graham A. Colditz (1 shared paper)Halcyon G. Skinner (1 shared paper)Dominique S. Michaud (1 shared paper)Wenkai Yang (2 shared papers)
- Journals
- American Journal of Epidemiology (2 papers)JNCI Journal of the National Cancer Institute (2 papers)HIV Clinical Trials (1 paper)Scientific Reports (1 paper)The Visual Computer (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kun Wu
16 papers receiving 510 citations
Peers
Comparison fields: 5 of 106
- Health Informatics 9
- Pathology and Forensic Medicine 90
- Oncology 125
- Public Health, Environmental and Occupational Health 106
- Orthopedics and Sports Medicine 23
Countries citing papers authored by Kun Wu
This map shows the geographic impact of Kun Wu'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 Kun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Wu more than expected).
Fields of papers citing papers by Kun Wu
This network shows the impact of papers produced by Kun Wu. 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 Kun Wu. The network helps show where Kun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 258 | |
| 2 | 2005 | 79 | |
| 3 | 2020 | 53 | |
| 4 | 2011 | 41 | |
| 5 | 2021 | 19 | |
| 6 | 2011 | 18 | |
| 7 | 2023 | 15 | |
| 8 | 2012 | 14 | |
| 9 | 2019 | 10 | |
| 10 | 2022 | 6 | |
| 11 | 2019 | 4 | |
| 12 | 2009 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | Acquired immunodeficiency syndrome and Cryptosporidium infection. | 1994 | 1 |
| 17 | Facial Expression Recognition Using Embedded | 2009 | 0 |
About Kun Wu
Kun Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Infectious Diseases and Molecular Biology, having authored 17 papers that have together received 527 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (3 papers), Face and Expression Recognition (2 papers), Image and Signal Denoising Methods (2 papers), Advanced Image Fusion Techniques (2 papers), Artificial Intelligence in Games (1 paper), Consumer Market Behavior and Pricing (1 paper), Diet and metabolism studies (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Health Informatics (9 citations), Pathology and Forensic Medicine (90 citations), Oncology (125 citations), Public Health, Environmental and Occupational Health (106 citations) and Orthopedics and Sports Medicine (23 citations). Kun Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Edward L. Giovannucci, F. B. Hu, W. C. Willett, Charles S. Fuchs, Graham A. Colditz, Halcyon G. Skinner, Dominique S. Michaud, Wenkai Yang, Yunyun Dong and Qianqian Du. Their work appears in journals such as American Journal of Epidemiology, JNCI Journal of the National Cancer Institute, HIV Clinical Trials, Scientific Reports and The Visual Computer.
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.