Weifu Chen
Impact in
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- Face and Expression Recognition
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- Nanoparticle-Based Drug Delivery
Papers in
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- Face and Expression Recognition 5
- Generative Adversarial Networks and Image Synthesis 4
- Advanced Image Processing Techniques 3
- Face recognition and analysis 3
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- Advanced Graph Neural Networks 4
- Advanced Clustering Algorithms Research 3
- Co-authors
- Guocan Feng (16 shared papers)Zhenghua Hong (4 shared papers)Yuan Cheng (5 shared papers)Bernard Chiu (7 shared papers)Xiang Zhang (1 shared paper)Feng Wang (1 shared paper)Huzhi Zheng (1 shared paper)Zhongye Xu (1 shared paper)
- Journals
- Pattern Recognition (3 papers)Computers in Biology and Medicine (3 papers)Medical Physics (2 papers)Multimedia Tools and Applications (2 papers)Frontiers in Neurology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Weifu Chen
37 papers receiving 452 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 92
- Biomaterials 50
- Artificial Intelligence 117
- Neurology 36
- Statistical and Nonlinear Physics 31
Countries citing papers authored by Weifu Chen
This map shows the geographic impact of Weifu Chen'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 Weifu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weifu Chen more than expected).
Fields of papers citing papers by Weifu Chen
This network shows the impact of papers produced by Weifu Chen. 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 Weifu Chen. The network helps show where Weifu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Weifu Chen, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 80 | |
| 2 | 2011 | 72 | |
| 3 | 2022 | 55 | |
| 4 | 2012 | 34 | |
| 5 | 2020 | 23 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2011 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2014 | 5 | |
| 20 | 2015 | 4 |
About Weifu Chen
Weifu Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine, Surgery and Neurology, having authored 39 papers that have together received 454 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Graph Neural Networks (4 papers), Advanced Image Processing Techniques (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Advanced Clustering Algorithms Research (3 papers), Face recognition and analysis (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (92 citations), Biomaterials (50 citations), Artificial Intelligence (117 citations), Neurology (36 citations) and Statistical and Nonlinear Physics (31 citations). Weifu Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Guocan Feng, Zhenghua Hong, Yuan Cheng, Bernard Chiu, Xiang Zhang, Feng Wang, Huzhi Zheng, Zhongye Xu, Jun Tang and Weikang Zhang. Their work appears in journals such as Pattern Recognition, Computers in Biology and Medicine, Medical Physics, Multimedia Tools and Applications and Frontiers in Neurology.
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.