Yipeng Zhou
Impact in
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- Caching and Content Delivery
- Peer-to-Peer Network Technologies
- IoT and Edge/Fog Computing
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- Image and Video Quality Assessment
Papers in
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- Privacy-Preserving Technologies in Data 47
- Stochastic Gradient Optimization Techniques 22
- Cryptography and Data Security 18
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- Caching and Content Delivery 42
- Peer-to-Peer Network Technologies 30
- Co-authors
- Dah Ming Chiu (29 shared papers)Di Wu (59 shared papers)Miao Hu (34 shared papers)Laizhong Cui (20 shared papers)John C. S. Lui (4 shared papers)Tom Z. J. Fu (11 shared papers)Xi Zheng (7 shared papers)Xu Chen (8 shared papers)
In The Last Decade
Yipeng Zhou
167 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 111
- Computer Networks and Communications 1.1k
- Computer Vision and Pattern Recognition 621
- Artificial Intelligence 876
- Information Systems 447
- Computer Science Applications 106
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-authors
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
Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 197 | |
| 2 | 2007 | 139 | |
| 3 | 2020 | 119 | |
| 4 | 2015 | 88 | |
| 5 | 2021 | 83 | |
| 6 | 2017 | 68 | |
| 7 | 2019 | 59 | |
| 8 | 2016 | 55 | |
| 9 | 2021 | 53 | |
| 10 | 2020 | 52 | |
| 11 | 2010 | 52 | |
| 12 | 2018 | 48 | |
| 13 | 2020 | 45 | |
| 14 | 2022 | 45 | |
| 15 | 2011 | 44 | |
| 16 | 2013 | 44 | |
| 17 | 2021 | 42 | |
| 18 | 2021 | 38 | |
| 19 | 2022 | 31 | |
| 20 | 2020 | 31 |
About Yipeng Zhou
Yipeng Zhou is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Statistical and Nonlinear Physics, having authored 184 papers that have together received 2.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (47 papers), Caching and Content Delivery (42 papers), Image and Video Quality Assessment (37 papers), Peer-to-Peer Network Technologies (30 papers), Stochastic Gradient Optimization Techniques (22 papers), Complex Network Analysis Techniques (19 papers), Cryptography and Data Security (18 papers) and Recommender Systems and Techniques (15 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Computer Vision and Pattern Recognition (621 citations), Artificial Intelligence (876 citations), Information Systems (447 citations) and Computer Science Applications (106 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, Yong Li and Min Chen. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal and IEEE Transactions on Circuits and Systems for Video Technology.
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.