Peipeng Yu

689 total citations
18 papers, 451 citations indexed

About

Peipeng Yu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Peipeng Yu has authored 18 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Peipeng Yu's work include Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Peipeng Yu is often cited by papers focused on Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Peipeng Yu collaborates with scholars based in China and Canada. Peipeng Yu's co-authors include Zhihua Xia, Jianwei Fei, Jian Weng, Fengjun Xiao, Zhili Zhou, Tianrun Shen, Xingming Sun, Q. M. Jonathan Wu, Chengsheng Yuan and Xianyi Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Peipeng Yu

17 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peipeng Yu China 11 322 161 85 46 34 18 451
Christian Kraetzer Germany 12 473 1.5× 111 0.7× 355 4.2× 51 1.1× 28 0.8× 51 565
Xuebing Zhou Germany 11 215 0.7× 79 0.5× 186 2.2× 171 3.7× 13 0.4× 38 342
Francesco Marra Italy 10 623 1.9× 189 1.2× 77 0.9× 51 1.1× 7 0.2× 12 713
Beddhu Murali United States 7 182 0.6× 104 0.6× 26 0.3× 22 0.5× 13 0.4× 9 328
Farzin Yaghmaee Iran 8 133 0.4× 115 0.7× 17 0.2× 25 0.5× 13 0.4× 37 266
Judith Liu‐Jimenez Spain 12 227 0.7× 45 0.3× 262 3.1× 210 4.6× 38 1.1× 52 392
Rajesh Rohilla India 9 133 0.4× 70 0.4× 20 0.2× 50 1.1× 4 0.1× 35 269
Chih‐Kuan Yeh United States 7 158 0.5× 348 2.2× 33 0.4× 53 1.2× 4 0.1× 9 436
Lionel Martin France 6 163 0.5× 62 0.4× 276 3.2× 163 3.5× 48 1.4× 13 388
N.J. Leite Brazil 7 194 0.6× 57 0.4× 58 0.7× 15 0.3× 17 0.5× 20 249

Countries citing papers authored by Peipeng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Peipeng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipeng Yu

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

All Works

18 of 18 papers shown
1.
Yu, Peipeng, et al.. (2025). CHEAT: A Large-Scale Dataset for Detecting CHatGPT-writtEn AbsTracts. IEEE Transactions on Big Data. 11(3). 898–906. 4 indexed citations
2.
Fei, Jianwei, et al.. (2024). Face forgery detection with cross-level attention. International Journal of Autonomous and Adaptive Communications Systems. 17(3). 233–246. 2 indexed citations
3.
Lu, Kaijun, Jiajun Li, Yukai Wang, et al.. (2024). Learning spatial‐frequency interaction for generalizable deepfake detection. IET Image Processing. 18(14). 4666–4679. 1 indexed citations
4.
Yu, Peipeng, Jian Tang, Zhihua Xia, Zhetao Li, & Jian Weng. (2023). A Privacy-Preserving JPEG Image Retrieval Scheme Using the Local Markov Feature and Bag-of-Words Model in Cloud Computing. IEEE Transactions on Cloud Computing. 11(3). 2885–2896. 19 indexed citations
5.
Liu, Xiang, et al.. (2023). Secure Outsourced SIFT: Accurate and Efficient Privacy-Preserving Image SIFT Feature Extraction. IEEE Transactions on Image Processing. 32. 4635–4648. 17 indexed citations
6.
Yu, Peipeng, et al.. (2023). A survey on neural network-based image data hiding for secure communication. International Journal of Autonomous and Adaptive Communications Systems. 16(5). 476–493.
7.
Wu, Yue, et al.. (2023). A black-box reversible adversarial example for authorizable recognition to shared images. Pattern Recognition. 140. 109549–109549. 11 indexed citations
8.
Yu, Peipeng, Jianwei Fei, Zhihua Xia, Zhili Zhou, & Jian Weng. (2022). Improving Generalization by Commonality Learning in Face Forgery Detection. IEEE Transactions on Information Forensics and Security. 17. 547–558. 80 indexed citations
9.
Yu, Peipeng, et al.. (2022). FLD-SRC: Fingerprint Liveness Detection for AFIS Based on Spatial Ridges Continuity. IEEE Journal of Selected Topics in Signal Processing. 16(4). 817–827. 10 indexed citations
10.
Yuan, Chengsheng, et al.. (2022). A Survey on Neural Network-based Image Data Hiding for Secure Communication. International Journal of Autonomous and Adaptive Communications Systems. 17(2). 1–1. 1 indexed citations
11.
Fei, Jianwei, et al.. (2022). Learning Second Order Local Anomaly for General Face Forgery Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20238–20248. 56 indexed citations
12.
Xia, Zhihua, et al.. (2021). PLDP: Personalized Local Differential Privacy for Multidimensional Data Aggregation. Security and Communication Networks. 2021. 1–13. 13 indexed citations
13.
Yu, Peipeng, et al.. (2021). A Survey on Deepfake Video Detection. IET Biometrics. 10(6). 607–624. 130 indexed citations
14.
Fei, Jianwei, Zhihua Xia, Peipeng Yu, & Fengjun Xiao. (2020). Adversarial attacks on fingerprint liveness detection. EURASIP Journal on Image and Video Processing. 2020(1). 47 indexed citations
15.
Fei, Jianwei, Zhihua Xia, Peipeng Yu, & Fengjun Xiao. (2020). Exposing AI-generated videos with motion magnification. Multimedia Tools and Applications. 80(20). 30789–30802. 24 indexed citations
16.
Yu, Peipeng, et al.. (2020). QDCT Encoding-Based Retrieval for Encrypted JPEG Images. 2(1). 33–51. 1 indexed citations
17.
Yu, Peipeng, Zhihua Xia, Jianwei Fei, & Sunil Kumar Jha. (2020). An Application Review of Artificial Intelligence in Prevention and Cure of COVID-19 Pandemic. Computers, materials & continua/Computers, materials & continua (Print). 65(1). 743–760. 8 indexed citations
18.
Yuan, Chengsheng, Xianyi Chen, Peipeng Yu, et al.. (2019). Semi-supervised stacked autoencoder-based deep hierarchical semantic feature for real-time fingerprint liveness detection. Journal of Real-Time Image Processing. 17(1). 55–71. 27 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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