Jun Wan
- Signal Processing top 0.5%
- Biometric Identification and Security 32
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- Face recognition and analysis 43
- Video Surveillance and Tracking Methods 15
- Human Pose and Action Recognition 14
- Digital Media Forensic Detection 12
- Face and Expression Recognition 11
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems 13
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 14
Jun Wan
82 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 112
- Signal Processing 1.0k
- Computer Vision and Pattern Recognition 1.9k
- Human-Computer Interaction 344
- Artificial Intelligence 420
- Experimental and Cognitive Psychology 155
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 53 | |
| 9 | 2023 | 36 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 83 | |
| 13 | 2022 | 18 | |
| 14 | 2022 | 5 | |
| 15 | 2021 | 80 | |
| 16 | 2021 | 95 | |
| 17 | 2020 | 175 | |
| 18 | 2018 | 38 | |
| 19 | CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing. | 2018 | 4 |
| 20 | 2017 | 73 |
About Jun Wan
Jun Wan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 90 papers that have together received 2.5k indexed citations. Recurring topics across this work include Face recognition and analysis (43 papers), Biometric Identification and Security (32 papers), Video Surveillance and Tracking Methods (15 papers), Domain Adaptation and Few-Shot Learning (14 papers), Human Pose and Action Recognition (14 papers), Hand Gesture Recognition Systems (13 papers), Digital Media Forensic Detection (12 papers) and Face and Expression Recognition (11 papers). The work is most often cited by research in Signal Processing (1.0k citations), Computer Vision and Pattern Recognition (1.9k citations) and Human-Computer Interaction (344 citations). Jun Wan has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Stan Z. Li, Guodong Guo, Zichang Tan, Sérgio Escalera, Zhen Lei, Yanyan Liang, Ajian Liu, Zitong Yu, Ajian Liu and Guoying Zhao. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.
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.