Peipeng Yu
Impact in
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- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Steganography and Watermarking Techniques
- Advanced Image Processing Techniques
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Digital Media Forensic Detection 8
- Advanced Steganography and Watermarking Techniques 6
- Generative Adversarial Networks and Image Synthesis 5
- Face recognition and analysis 5
- Chaos-based Image/Signal Encryption 4
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- Biometric Identification and Security 4
- Co-authors
- Zhihua Xia (13 shared papers)Jianwei Fei (7 shared papers)Jian Weng (4 shared papers)Fengjun Xiao (2 shared papers)Zhili Zhou (1 shared paper)Tianrun Shen (1 shared paper)Xingming Sun (2 shared papers)Q. M. Jonathan Wu (2 shared papers)
In The Last Decade
Peipeng Yu
17 papers receiving 458 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 336
- Signal Processing 87
- Artificial Intelligence 166
- Safety Research 34
- Health Informatics 5
Countries citing papers authored by Peipeng Yu
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
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-authors
The 20 scholars most cited alongside Peipeng Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 139 | |
| 2 | 2022 | 86 | |
| 3 | 2022 | 59 | |
| 4 | 2020 | 47 | |
| 5 | 2019 | 28 | |
| 6 | 2020 | 24 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 19 | |
| 9 | 2021 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2025 | 7 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2023 | 0 |
About Peipeng Yu
Peipeng Yu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Safety Research and Health Information Management, having authored 18 papers that have together received 476 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Face recognition and analysis (5 papers), Biometric Identification and Security (4 papers), Chaos-based Image/Signal Encryption (4 papers), Adversarial Robustness in Machine Learning (2 papers) and Forensic Fingerprint Detection Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (336 citations), Signal Processing (87 citations), Artificial Intelligence (166 citations), Safety Research (34 citations) and Health Informatics (5 citations). Peipeng Yu has collaborated with scholars based in China and Canada. Frequent co-authors include Zhihua Xia, Jianwei Fei, Jian Weng, Fengjun Xiao, Zhili Zhou, Tianrun Shen, Xingming Sun, Q. M. Jonathan Wu, Chengsheng Yuan and Zhetao Li. Their work appears in journals such as IEEE Transactions on Cloud Computing, Multimedia Tools and Applications, IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Big Data.
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.