Jun Wan
Impact in
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- Human Pose and Action Recognition
- Face and Expression Recognition
- Face recognition and analysis
- Image Enhancement Techniques
- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
Papers in
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- Face and Expression Recognition 19
- Face recognition and analysis 16
- Video Surveillance and Tracking Methods 8
- Human Pose and Action Recognition 8
- Image Enhancement Techniques 7
- Co-authors
- Wanqing Li (1 shared paper)Pichao Wang (1 shared paper)Philip Ogunbona (1 shared paper)Sérgio Escalera (1 shared paper)Jie Zhou (10 shared papers)Can Gao (8 shared papers)Zhihui Lai (8 shared papers)Hang Sun (10 shared papers)
In The Last Decade
Jun Wan
75 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 729
- Human-Computer Interaction 154
- Media Technology 133
- Artificial Intelligence 313
- Signal Processing 89
Countries citing papers authored by Jun Wan
This map shows the geographic impact of Jun Wan'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 Jun Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wan more than expected).
Fields of papers citing papers by Jun Wan
This network shows the impact of papers produced by Jun Wan. 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 Jun Wan. The network helps show where Jun Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wan, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 272 | |
| 2 | 2023 | 61 | |
| 3 | 2020 | 57 | |
| 4 | 2018 | 50 | |
| 5 | 2022 | 42 | |
| 6 | 2021 | 38 | |
| 7 | 2023 | 38 | |
| 8 | 2021 | 36 | |
| 9 | 2014 | 35 | |
| 10 | 2023 | 33 | |
| 11 | 2021 | 33 | |
| 12 | 2022 | 32 | |
| 13 | 2021 | 32 | |
| 14 | 2024 | 29 | |
| 15 | 2019 | 21 | |
| 16 | 2014 | 21 | |
| 17 | 2024 | 20 | |
| 18 | 2022 | 20 | |
| 19 | 2021 | 19 | |
| 20 | 2021 | 16 |
About Jun Wan
Jun Wan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Mechanical Engineering, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (19 papers), Face recognition and analysis (16 papers), Remote-Sensing Image Classification (9 papers), Video Surveillance and Tracking Methods (8 papers), Human Pose and Action Recognition (8 papers), Image Enhancement Techniques (7 papers), Biometric Identification and Security (5 papers) and Facial Rejuvenation and Surgery Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (729 citations), Human-Computer Interaction (154 citations), Media Technology (133 citations), Artificial Intelligence (313 citations) and Signal Processing (89 citations). Jun Wan has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Wanqing Li, Pichao Wang, Philip Ogunbona, Sérgio Escalera, Jie Zhou, Can Gao, Zhihui Lai, Hang Sun, Bo Du and Qiuqi Ruan. Their work appears in journals such as Neurocomputing, Pattern Recognition, IEEE Transactions on Image Processing, IEEE Transactions on Geoscience and Remote Sensing and Neural Networks.
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.