Yipeng Zhou
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- Caching and Content Delivery 42
- Peer-to-Peer Network Technologies 30
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- Image and Video Quality Assessment 35
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data 44
- Stochastic Gradient Optimization Techniques 20
- Cryptography and Data Security 16
- Internet Traffic Analysis and Secure E-voting 14
- Information Systems top 2%
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- Complex Network Analysis Techniques 18
Yipeng Zhou
153 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Computer Networks and Communications 1.1k
- Computer Vision and Pattern Recognition 580
- Artificial Intelligence 797
- Computer Science Applications 99
- Information Systems 402
Countries citing papers authored by Yipeng Zhou
This map shows the geographic impact of Yipeng Zhou'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 Yipeng Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yipeng Zhou more than expected).
Fields of papers citing papers by Yipeng Zhou
This network shows the impact of papers produced by Yipeng Zhou. 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 Yipeng Zhou. The network helps show where Yipeng Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yipeng Zhou, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 25 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 28 | |
| 14 | 2022 | 16 | |
| 15 | 2021 | 36 | |
| 16 | 2020 | 43 | |
| 17 | 2020 | 176 | |
| 18 | 2020 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2017 | 7 |
About Yipeng Zhou
Yipeng Zhou is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Computer Science Applications, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 170 papers that have together received 2.3k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (44 papers), Caching and Content Delivery (42 papers), Image and Video Quality Assessment (35 papers), Peer-to-Peer Network Technologies (30 papers), Stochastic Gradient Optimization Techniques (20 papers), Complex Network Analysis Techniques (18 papers), Cryptography and Data Security (16 papers) and Internet Traffic Analysis and Secure E-voting (14 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Computer Vision and Pattern Recognition (580 citations), Artificial Intelligence (797 citations), Computer Science Applications (99 citations) and Information Systems (402 citations). Yipeng Zhou has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Dah Ming Chiu, Di Wu, Miao Hu, Laizhong Cui, John C. S. Lui, Tom Z. J. Fu, Xi Zheng, Xu Chen, Min Chen and Yong Li. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, IEEE Internet of Things Journal and IEEE Transactions on Parallel and Distributed Systems.
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.