Chenxu Zhao

1.9k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Chenxu Zhao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Chenxu Zhao has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Chenxu Zhao's work include Face recognition and analysis (12 papers), Biometric Identification and Security (10 papers) and Digital Media Forensic Detection (4 papers). Chenxu Zhao is often cited by papers focused on Face recognition and analysis (12 papers), Biometric Identification and Security (10 papers) and Digital Media Forensic Detection (4 papers). Chenxu Zhao collaborates with scholars based in China, Finland and United States. Chenxu Zhao's co-authors include Zitong Yu, Yunxiao Qin, Zezheng Wang, Zhen Lei, Feng Zhou, Xiaobai Li, Guoying Zhao, Zhuo Su, Xiangyu Zhu and Stan Z. Li 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 Information Forensics and Security.

In The Last Decade

Chenxu Zhao

18 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

2020 360 citations Zitong Yu, Chenxu Zhao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chenxu Zhao China	9	889	825	199	132	85	18	1.1k
Yunxiao Qin China	12	908 1.0×	872 1.1×	227 1.1×	118 0.9×	92 1.1×	19	1.2k
Yaojie Liu United States	9	1.0k 1.1×	888 1.1×	212 1.1×	96 0.7×	61 0.7×	14	1.2k
Amin Jourabloo United States	11	1.2k 1.3×	943 1.1×	197 1.0×	166 1.3×	48 0.6×	15	1.4k
Rui Shao China	12	678 0.8×	481 0.6×	114 0.6×	183 1.4×	40 0.5×	37	879
Jukka Komulainen Finland	15	1.7k 1.9×	1.8k 2.2×	401 2.0×	108 0.8×	62 0.7×	18	2.0k
Taiping Yao China	17	1.1k 1.3×	473 0.6×	101 0.5×	428 3.2×	48 0.6×	35	1.4k
Yanyan Liang Macao	14	537 0.6×	444 0.5×	105 0.5×	97 0.7×	72 0.8×	57	760
Di Wen China	8	567 0.6×	537 0.7×	125 0.6×	48 0.4×	30 0.4×	27	770
Zhuo Su China	8	351 0.4×	231 0.3×	58 0.3×	61 0.5×	20 0.2×	24	492

Countries citing papers authored by Chenxu Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Chenxu Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenxu Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Chenxu Zhao. A scholar is included among the top collaborators of Chenxu Zhao 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 Chenxu Zhao. Chenxu Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Zhao, Chenxu, et al.. (2025). A survey of security and privacy issues of machine unlearning. AI Magazine. 46(1). 2 indexed citations

2.

Liu, Bin, et al.. (2025). A robust method for large-scale route optimization on lunar surface utilizing a multi-level map model. Chinese Journal of Aeronautics. 38(3). 103388–103388. 4 indexed citations

3.

Zhao, Chenxu, et al.. (2024). Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding. 7316–7325. 1 indexed citations

4.

Liu, Xing, Minghui Wu, Zitong Yu, et al.. (2024). CG-FAS: Cross-label Generative Augmentation for Face Anti-Spoofing. International Journal of Computer Vision. 132(11). 5330–5345. 1 indexed citations

5.

Gao, Ya, et al.. (2024). DTIA: Disruptive Text-Image Alignment for Countering Text-to-Image Diffusion Model Personalization. Data Science and Engineering. 10(1). 12–23. 1 indexed citations

6.

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

7.

Yu, Zitong, Yunxiao Qin, Xiaobai Li, et al.. (2022). Deep Learning for Face Anti-Spoofing: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–22. 102 indexed citations

8.

Qin, Yunxiao, Chenxu Zhao, Xiangyu Zhu, et al.. (2021). Learning meta model for zero- and few-shot face anti-spoofing. University of Oulu Repository (University of Oulu). 75 indexed citations

9.

Qin, Yunxiao, Zitong Yu, Longbin Yan, et al.. (2021). Meta-Teacher For Face Anti-Spoofing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6311–6326. 58 indexed citations

10.

Liu, Ajian, Chenxu Zhao, Zitong Yu, et al.. (2021). 3D High-Fidelity Mask Face Presentation Attack Detection Challenge. 814–823. 32 indexed citations

11.

Meng, Qiang, Yunxiao Qin, Jianzhu Guo, et al.. (2021). Searching for Alignment in Face Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 3065–3073. 6 indexed citations

12.

Yu, Zitong, Chenxu Zhao, Zezheng Wang, et al.. (2020). Searching Central Difference Convolutional Networks for Face Anti-Spoofing. 5294–5304. 360 indexed citations breakdown →

13.

Guo, Jianzhu, et al.. (2020). Learning Meta Face Recognition in Unseen Domains. 6162–6171. 103 indexed citations

14.

Wang, Zezheng, Zitong Yu, Chenxu Zhao, et al.. (2020). Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing. 5041–5050. 149 indexed citations

15.

Zhang, Shifeng, Xiaobo Wang, Ajian Liu, et al.. (2019). A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing. 919–928. 129 indexed citations

16.

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

17.

Qin, Yunxiao, Weiguo Zhang, Chenxu Zhao, et al.. (2018). Rethink and Redesign Meta learning. arXiv (Cornell University). 4 indexed citations

18.

Wang, Junxiong, Hongzhi Wang, Chenxu Zhao, Jianzhong Li, & Hong Gao. (2018). Iteration acceleration for distributed learning systems. Parallel Computing. 72. 29–41. 3 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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