Pengfei Dou
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Face recognition and analysis 9
- Face and Expression Recognition 5
- Advanced Image and Video Retrieval Techniques 2
- Advanced Image Processing Techniques 2
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- Facial Rejuvenation and Surgery Techniques 2
- Co-authors
- Ioannis A. Kakadiaris (10 shared papers)Shishir K. Shah (6 shared papers)Lingfeng Zhang (2 shared papers)Xiang Xu (1 shared paper)Yu Wang (1 shared paper)Lei Yang (1 shared paper)Hui Wang (1 shared paper)Shijin Jiang (1 shared paper)
- Journals
- Pattern Recognition (1 paper)Journal of Virology (1 paper)Image and Vision Computing (1 paper)IEEE Access (1 paper)Chinese Journal of Organic Chemistry (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Pengfei Dou
12 papers receiving 265 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 234
- Signal Processing 65
- Computer Graphics and Computer-Aided Design 19
- Dermatology 31
- Computational Mechanics 68
Countries citing papers authored by Pengfei Dou
This map shows the geographic impact of Pengfei Dou'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 Pengfei Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Dou more than expected).
Fields of papers citing papers by Pengfei Dou
This network shows the impact of papers produced by Pengfei Dou. 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 Pengfei Dou. The network helps show where Pengfei Dou may publish in the future.
Co-authors
The 23 scholars most cited alongside Pengfei Dou, 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 | 2017 | 153 | |
| 2 | 2018 | 29 | |
| 3 | 2017 | 22 | |
| 4 | 2012 | 20 | |
| 5 | 2015 | 15 | |
| 6 | 2018 | 9 | |
| 7 | 2014 | 8 | |
| 8 | 2017 | 8 | |
| 9 | 2014 | 6 | |
| 10 | 2019 | 4 | |
| 11 | 2015 | 2 | |
| 12 | 2018 | 1 |
About Pengfei Dou
Pengfei Dou is a scholar working on Computer Vision and Pattern Recognition, Dermatology, Neurology, Signal Processing and Infectious Diseases, having authored 12 papers that have together received 277 indexed citations. Recurring topics across this work include Face recognition and analysis (9 papers), Face and Expression Recognition (5 papers), Facial Rejuvenation and Surgery Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Biometric Identification and Security (2 papers), Advanced Image Processing Techniques (2 papers), Facial Nerve Paralysis Treatment and Research (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (234 citations), Signal Processing (65 citations), Computer Graphics and Computer-Aided Design (19 citations), Dermatology (31 citations) and Computational Mechanics (68 citations). Pengfei Dou has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Ioannis A. Kakadiaris, Shishir K. Shah, Lingfeng Zhang, Xiang Xu, Yu Wang, Lei Yang, Hui Wang, Shijin Jiang, Qian Xu and Ruihua Zhang. Their work appears in journals such as Pattern Recognition, Journal of Virology, Image and Vision Computing, IEEE Access and Chinese Journal of Organic Chemistry.
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.