Taiping Yao

2.6k total citations · 3 hit papers
35 papers, 1.4k citations indexed

About

Taiping Yao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Taiping Yao has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Taiping Yao's work include Face recognition and analysis (22 papers), Digital Media Forensic Detection (18 papers) and Biometric Identification and Security (13 papers). Taiping Yao is often cited by papers focused on Face recognition and analysis (22 papers), Digital Media Forensic Detection (18 papers) and Biometric Identification and Security (13 papers). Taiping Yao collaborates with scholars based in China, Australia and United States. Taiping Yao's co-authors include Shouhong Ding, Jilin Li, Lizhuang Ma, Rongrong Ji, Yang Chen, Chen Shen, Chen Shen, Ke-Yue Zhang, Feiyue Huang and Xiaokang Yang and has published in prestigious journals such as Pattern Recognition, International Journal of Computer Vision and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Taiping Yao

32 papers receiving 1.3k citations

Hit Papers

Local Relation Learning for Face Forgery Detection 2021 2026 2022 2024 2021 2022 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Local Relation Learning for Face Forgery Detection
    2021 195 citations Chen Shen, Taiping Yao et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  2. End-to-End Reconstruction-Classification Learning for Face Forgery Detection
    2022 167 citations Chao Ma, Taiping Yao et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  3. Dual Contrastive Learning for General Face Forgery Detection
    2022 126 citations Ke Sun, Taiping Yao et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taiping Yao China 17 1.1k 473 428 101 48 35 1.4k
Rui Shao China 12 678 0.6× 481 1.0× 183 0.4× 114 1.1× 40 0.8× 37 879
Chenxu Zhao China 9 889 0.8× 825 1.7× 132 0.3× 199 2.0× 85 1.8× 18 1.1k
Yunxiao Qin China 12 908 0.8× 872 1.8× 118 0.3× 227 2.2× 92 1.9× 19 1.2k
Yaojie Liu United States 9 1.0k 0.9× 888 1.9× 96 0.2× 212 2.1× 61 1.3× 14 1.2k
Akshay Agarwal India 16 649 0.6× 472 1.0× 426 1.0× 143 1.4× 8 0.2× 62 1.0k
Zinelabidine Boulkenafet Finland 7 998 0.9× 990 2.1× 56 0.1× 195 1.9× 28 0.6× 11 1.1k
Jukka Komulainen Finland 15 1.7k 1.5× 1.8k 3.8× 108 0.3× 401 4.0× 62 1.3× 18 2.0k
Murat Ekіncі Türkiye 14 380 0.3× 169 0.4× 119 0.3× 53 0.5× 32 0.7× 73 591
Di Wen China 8 567 0.5× 537 1.1× 48 0.1× 125 1.2× 30 0.6× 27 770
Zhihong Chen China 10 297 0.3× 106 0.2× 369 0.9× 92 0.9× 10 0.2× 30 613

Countries citing papers authored by Taiping Yao

Since Specialization
Citations

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

Fields of papers citing papers by Taiping Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taiping Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Taiping Yao. A scholar is included among the top collaborators of Taiping Yao 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 Taiping Yao. Taiping Yao 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.
Chen, Changsheng, Chen Shen, Taiping Yao, et al.. (2025). Generalized Document Tampering Localization via Color and Semantic Disentanglement. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 1279–1292.
2.
Sun, Ke, Chen Shen, Taiping Yao, et al.. (2025). Towards General Visual-Linguistic Face Forgery Detection. 19576–19586. 1 indexed citations
3.
Fu, Xinghe, et al.. (2025). Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models. Proceedings of the AAAI Conference on Artificial Intelligence. 39(4). 4048–4056.
4.
Zhang, Ke-Yue, et al.. (2024). Towards Unified Defense for Face Forgery and Spoofing Attacks via Dual Space Reconstruction Learning. International Journal of Computer Vision. 132(12). 5862–5887. 7 indexed citations
5.
Zhang, Ke-Yue, Taiping Yao, Shice Liu, et al.. (2024). Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2193–2201. 2 indexed citations
6.
Sun, Ke, Chen Shen, Taiping Yao, et al.. (2024). Continual Face Forgery Detection via Historical Distribution Preserving. International Journal of Computer Vision. 133(3). 1067–1084. 2 indexed citations
7.
Zhou, Qianyu, et al.. (2024). Test-Time Domain Generalization for Face Anti-Spoofing. 175–187. 16 indexed citations
8.
9.
Sun, Ke, Chen Shen, Taiping Yao, et al.. (2024). Correction: Continual Face Forgery Detection via Historical Distribution Preserving. International Journal of Computer Vision. 133(4). 2246–2246. 2 indexed citations
10.
Huang, Zhiyong, Kekai Sheng, Ke Li, et al.. (2023). Reciprocal normalization for domain adaptation. Pattern Recognition. 140. 109533–109533. 7 indexed citations
11.
Zhou, Qianyu, Ke-Yue Zhang, Taiping Yao, et al.. (2023). Instance-Aware Domain Generalization for Face Anti-Spoofing. 20453–20463. 45 indexed citations
12.
Yao, Taiping, et al.. (2023). Contrastive Pseudo Learning for Open-World DeepFake Attribution. 20825–20835. 12 indexed citations
13.
Zhang, Ke-Yue, et al.. (2022). Structure Destruction and Content Combination for Generalizable Anti-Spoofing. IEEE Transactions on Biometrics Behavior and Identity Science. 4(4). 508–521. 7 indexed citations
14.
Gu, Zhihao, Yang Chen, Taiping Yao, et al.. (2022). Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 744–752. 63 indexed citations
15.
Ma, Chao, et al.. (2022). End-to-End Reconstruction-Classification Learning for Face Forgery Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4103–4112. 167 indexed citations breakdown →
16.
Zhang, Ke-Yue, Taiping Yao, Shouhong Ding, et al.. (2021). An End-to-end Efficient Framework for Remote Physiological Signal Sensing. 2378–2384. 8 indexed citations
17.
Chen, Zhihong, Taiping Yao, Kekai Sheng, et al.. (2021). Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1132–1139. 85 indexed citations
18.
Shen, Chen, Taiping Yao, Ke-Yue Zhang, et al.. (2021). A Dual-stream Framework for 3D Mask Face Presentation Attack Detection. 834–841. 11 indexed citations
19.
Yin, Bangjie, Taiping Yao, Junfeng Guo, et al.. (2021). Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition. 1252–1258. 70 indexed citations
20.
Yao, Taiping, et al.. (2012). A Dual Watermarking Algorithm Based on Chaotic in Contourlet-Domain. Advanced Science Letters. 19(4). 1234–1237. 2 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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