Jun Wan

4.3k total citations
90 papers, 2.5k citations indexed

About

Jun Wan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jun Wan has authored 90 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Vision and Pattern Recognition, 38 papers in Signal Processing and 22 papers in Artificial Intelligence. Recurrent topics in Jun Wan's work include Face recognition and analysis (43 papers), Biometric Identification and Security (32 papers) and Video Surveillance and Tracking Methods (15 papers). Jun Wan is often cited by papers focused on Face recognition and analysis (43 papers), Biometric Identification and Security (32 papers) and Video Surveillance and Tracking Methods (15 papers). Jun Wan collaborates with scholars based in China, Macao and United States. Jun Wan's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Jun Wan

82 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Wan China 29 1.9k 1.0k 420 344 332 90 2.5k
Zitong Yu China 28 1.5k 0.8× 1.4k 1.3× 212 0.5× 89 0.3× 671 2.0× 87 2.7k
Vitomir Štruc Slovenia 24 1.5k 0.8× 1.0k 1.0× 328 0.8× 65 0.2× 91 0.3× 116 2.1k
Fernando Alonso‐Fernandez Sweden 27 1.3k 0.7× 1.3k 1.3× 198 0.5× 89 0.3× 93 0.3× 92 2.1k
Jiankang Deng United Kingdom 26 2.6k 1.4× 960 0.9× 506 1.2× 105 0.3× 92 0.3× 89 3.2k
Stephan Sigg Finland 22 556 0.3× 446 0.4× 357 0.8× 203 0.6× 380 1.1× 132 2.1k
Xiangyuan Lan China 28 2.8k 1.5× 622 0.6× 394 0.9× 51 0.1× 422 1.3× 60 3.3k
Hailin Shi China 20 2.1k 1.1× 637 0.6× 335 0.8× 89 0.3× 95 0.3× 40 2.4k
Shihong Lao Japan 24 2.8k 1.4× 638 0.6× 605 1.4× 182 0.5× 164 0.5× 69 3.2k
Naser Damer Germany 26 1.9k 1.0× 1.3k 1.2× 407 1.0× 47 0.1× 97 0.3× 137 2.4k

Countries citing papers authored by Jun Wan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jun Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wan. A scholar is included among the top collaborators of Jun Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Wan. Jun Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Ajian, Xihong Chen, Zhiyao Liang, et al.. (2025). FA3-CLIP: Frequency-Aware Cues Fusion and Attack-Agnostic Prompt Learning for Unified Face Attack Detection. IEEE Transactions on Information Forensics and Security. 20. 8167–8177.
2.
Tian, Qing, et al.. (2025). Cross-Attention With Conditional Matching for Multi-Target Domain Adaptation. IEEE Transactions on Circuits and Systems for Video Technology. 35(11). 10918–10929.
3.
Zhou, Benjia, Jun Wan, Yibo Hu, et al.. (2025). C2RL: Content and Context Representation Learning for Gloss-Free Sign Language Translation and Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 8533–8544. 1 indexed citations
4.
Li, Jun, et al.. (2024). Compound Text-Guided Prompt Tuning via Image-Adaptive Cues. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 5061–5069. 4 indexed citations
5.
Liu, Ajian, et al.. (2024). FM-CLIP: Flexible Modal CLIP for Face Anti-Spoofing. 8228–8237. 4 indexed citations
6.
Zhi, Ruicong, et al.. (2024). Dual Balanced Class-Incremental Learning With im-Softmax and Angular Rectification. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4437–4447. 2 indexed citations
7.
Tan, Zichang, et al.. (2024). Vision Transformer With Relation Exploration for Pedestrian Attribute Recognition. IEEE Transactions on Multimedia. 27. 198–208. 2 indexed citations
8.
Tan, Zichang, et al.. (2023). General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds With One Stone. IEEE Transactions on Image Processing. 32. 6155–6167. 6 indexed citations
9.
Liu, Ajian, Jun Wan, Sérgio Escalera, et al.. (2023). Surveillance Face Anti-Spoofing. IEEE Transactions on Information Forensics and Security. 19. 1535–1546. 36 indexed citations
10.
Tan, Zichang, Ajian Liu, Jun Wan, Zhen Lei, & Guodong Guo. (2022). Exploring the Limits of Hard Example Mining for ID Document to Selfie Matching. IEEE Transactions on Biometrics Behavior and Identity Science. 4(4). 570–581. 1 indexed citations
11.
Liu, Ajian, Chenxu Zhao, Zitong Yu, et al.. (2022). Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection. IEEE Transactions on Information Forensics and Security. 17. 2497–2507. 83 indexed citations
12.
Liang, Yanyan, et al.. (2022). Frequency Feature Pyramid Network With Global-Local Consistency Loss for Crowd-and-Vehicle Counting in Congested Scenes. IEEE Transactions on Intelligent Transportation Systems. 23(7). 9654–9664. 18 indexed citations
13.
Yang, Yang, Zichang Tan, Prayag Tiwari, et al.. (2021). Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition. International Journal of Computer Vision. 129(10). 2731–2744. 30 indexed citations
14.
Yu, Zitong, Benjia Zhou, Jun Wan, et al.. (2021). Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. IEEE Transactions on Image Processing. 30. 5626–5640. 80 indexed citations
15.
Liu, Ajian, Zichang Tan, Jun Wan, et al.. (2021). Face Anti-Spoofing via Adversarial Cross-Modality Translation. IEEE Transactions on Information Forensics and Security. 16. 2759–2772. 95 indexed citations
16.
Yu, Zitong, Jun Wan, Yunxiao Qin, et al.. (2020). NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(9). 3005–3023. 175 indexed citations
17.
Wan, Jun, Zichang Tan, Zhen Lei, Guodong Guo, & Stan Z. Li. (2018). Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure. IEEE Transactions on Cybernetics. 48(9). 2531–2541. 38 indexed citations
18.
Zhang, Shifeng, Xiaobo Wang, Ajian Liu, et al.. (2018). CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing.. arXiv (Cornell University). 4 indexed citations
19.
Tan, Zichang, Jun Wan, Zhen Lei, et al.. (2017). Efficient Group-n Encoding and Decoding for Facial Age Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(11). 2610–2623. 73 indexed citations
20.
Yang, Junan, et al.. (2016). A Transmitter Recognition Algorithm Based on Dual Spectrum Feature Fusion. 38(5). 95.

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.

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