Rizhao Cai

594 total citations
23 papers, 320 citations indexed

About

Rizhao Cai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Rizhao Cai has authored 23 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 4 papers in Information Systems. Recurrent topics in Rizhao Cai's work include Biometric Identification and Security (15 papers), Face recognition and analysis (12 papers) and Digital Media Forensic Detection (5 papers). Rizhao Cai is often cited by papers focused on Biometric Identification and Security (15 papers), Face recognition and analysis (12 papers) and Digital Media Forensic Detection (5 papers). Rizhao Cai collaborates with scholars based in Singapore, China and Hong Kong. Rizhao Cai's co-authors include Alex C. Kot, Haoliang Li, Changsheng Chen, Yongjian Hu, Zitong Yu, Shiqi Wang, Renjie Wan, Wenhan Yang, Jiwu Huang and Jingang Shi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Rizhao Cai

20 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rizhao Cai Singapore 10 246 221 66 41 40 23 320
Ajian Liu China 10 356 1.4× 410 1.9× 92 1.4× 72 1.8× 36 0.9× 25 495
Ajian Liu China 11 432 1.8× 472 2.1× 121 1.8× 75 1.8× 43 1.1× 16 550
Meiling Fang Germany 13 288 1.2× 229 1.0× 61 0.9× 7 0.2× 57 1.4× 26 364
Leonardo Chang Mexico 11 224 0.9× 106 0.5× 19 0.3× 28 0.7× 51 1.3× 26 301
Zhenqi Xu China 3 203 0.8× 169 0.8× 24 0.4× 11 0.3× 30 0.8× 9 254
Qi Yuan China 7 130 0.5× 113 0.5× 34 0.5× 14 0.3× 23 0.6× 25 220
Shibao Zheng China 8 269 1.1× 158 0.7× 61 0.9× 8 0.2× 85 2.1× 23 356
Abdallah Meraoumia Algeria 10 274 1.1× 294 1.3× 115 1.7× 14 0.3× 43 1.1× 76 404
Zinelabidine Boulkenafet Finland 7 998 4.1× 990 4.5× 195 3.0× 28 0.7× 56 1.4× 11 1.1k
Prathyusha Kanakam India 7 126 0.5× 240 1.1× 99 1.5× 15 0.4× 27 0.7× 22 307

Countries citing papers authored by Rizhao Cai

Since Specialization
Citations

This map shows the geographic impact of Rizhao Cai'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 Rizhao Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rizhao Cai more than expected).

Fields of papers citing papers by Rizhao Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rizhao Cai. 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 Rizhao Cai. The network helps show where Rizhao Cai may publish in the future.

Co-authorship network of co-authors of Rizhao Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Rizhao Cai. A scholar is included among the top collaborators of Rizhao Cai 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 Rizhao Cai. Rizhao Cai 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.
Cui, Yawen, Jian Zhao, Zitong Yu, et al.. (2025). CMoA: Contrastive Mixture of Adapters for Generalized Few-Shot Continual Learning. IEEE Transactions on Multimedia. 27. 5533–5547.
2.
Cai, Rizhao, Yawen Cui, Zitong Yu, et al.. (2025). Rehearsal-Free and Efficient Continual Learning for Cross-Domain Face Anti-Spoofing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 11348–11365.
3.
Lin, Xun, Ajian Liu, Zitong Yu, et al.. (2025). Reliable and Balanced Transfer Learning for Generalized Multimodal Face Anti-Spoofing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 7608–7625. 1 indexed citations
4.
Cai, Rizhao, Zitong Yu, Chenqi Kong, et al.. (2024). S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing With Statistical Tokens. IEEE Transactions on Information Forensics and Security. 19. 8385–8397. 13 indexed citations
5.
Yu, Zitong, Rizhao Cai, Yawen Cui, Ajian Liu, & Changsheng Chen. (2024). Visual Prompt Flexible-Modal Face Anti-Spoofing. IEEE Transactions on Dependable and Secure Computing. 22(3). 2597–2606. 4 indexed citations
6.
Lin, Xun, Shuai Wang, Rizhao Cai, et al.. (2024). Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing. 211–221. 12 indexed citations
7.
Cai, Rizhao, et al.. (2024). Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks. Electronic Research Archive. 32(10). 5592–5614. 1 indexed citations
8.
Cai, Rizhao, Chenqi Kong, Yakun Ju, et al.. (2024). Forgery-Aware Adaptive Learning With Vision Transformer for Generalized Face Forgery Detection. IEEE Transactions on Circuits and Systems for Video Technology. 35(5). 4116–4129. 8 indexed citations
9.
Peng, Fei, et al.. (2024). Category-Conditional Gradient Alignment for Domain Adaptive Face Anti-Spoofing. IEEE Transactions on Information Forensics and Security. 19. 10071–10085.
10.
Cai, Rizhao, et al.. (2024). Controllable and Gradual Facial Blemishes Retouching Via Physics-Based Modelling. 1–6. 1 indexed citations
11.
Yu, Zitong, et al.. (2024). Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing. International Journal of Computer Vision. 132(11). 5217–5238. 19 indexed citations
12.
Yu, Zitong, Rizhao Cai, Zhi Li, et al.. (2024). Benchmarking Joint Face Spoofing and Forgery Detection With Visual and Physiological Cues. IEEE Transactions on Dependable and Secure Computing. 21(5). 4327–4342. 27 indexed citations
13.
Li, Ling, Qing Zhang, Rizhao Cai, et al.. (2023). Evaluating the efficacy of skincare product: A realistic short-term facial pore simulation. Electronic Imaging. 35(7). 276–1. 3 indexed citations
14.
Cai, Rizhao, Yawen Cui, Zhi Li, et al.. (2023). Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less. 8003–8014. 16 indexed citations
15.
Cai, Rizhao, et al.. (2022). One-Class Knowledge Distillation for Face Presentation Attack Detection. IEEE Transactions on Information Forensics and Security. 17. 2137–2150. 26 indexed citations
16.
Yang, Wenhan, Rizhao Cai, & Alex C. Kot. (2022). Image Inpainting Detection via Enriched Attentive Pattern with Near Original Image Augmentation. Proceedings of the 30th ACM International Conference on Multimedia. 2816–2824. 4 indexed citations
17.
Cai, Rizhao, et al.. (2022). Towards More Efficient Security Inspection via Deep Learning: A Task-Driven X-ray Image Cropping Scheme. Micromachines. 13(4). 565–565. 20 indexed citations
18.
Cai, Rizhao, et al.. (2022). Learning Meta Pattern for Face Anti-Spoofing. IEEE Transactions on Information Forensics and Security. 17. 1201–1213. 63 indexed citations
19.
Cai, Rizhao, Haoliang Li, Shiqi Wang, Changsheng Chen, & Alex C. Kot. (2020). DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing. IEEE Transactions on Information Forensics and Security. 16. 937–951. 72 indexed citations
20.
Chen, Changsheng, et al.. (2019). A Copy-Proof Scheme Based on the Spectral and Spatial Barcoding Channel Models. IEEE Transactions on Information Forensics and Security. 15. 1056–1071. 16 indexed citations

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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