Yipeng Zhou
Impact in
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- Caching and Content Delivery
- Peer-to-Peer Network Technologies
- IoT and Edge/Fog Computing
- Network Traffic and Congestion Control
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data
Papers in
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- Caching and Content Delivery 29
- Peer-to-Peer Network Technologies 17
- IoT and Edge/Fog Computing 10
- Network Traffic and Congestion Control 8
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- Privacy-Preserving Technologies in Data 58
- Co-authors
- Dah Ming Chiu (30 shared papers)Di Wu (60 shared papers)Miao Hu (36 shared papers)Laizhong Cui (21 shared papers)John C. S. Lui (6 shared papers)Xu Chen (9 shared papers)Tom Z. J. Fu (11 shared papers)Xi Zheng (7 shared papers)
In The Last Decade
Yipeng Zhou
167 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 77
- Computer Networks and Communications 1k
- Artificial Intelligence 890
- Computer Vision and Pattern Recognition 381
- Information Systems 338
- Signal Processing 46
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 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 207 | |
| 2 | 2007 | 138 | |
| 3 | 2020 | 122 | |
| 4 | 2015 | 91 | |
| 5 | 2021 | 89 | |
| 6 | 2017 | 69 | |
| 7 | 2019 | 60 | |
| 8 | 2016 | 57 | |
| 9 | 2021 | 57 | |
| 10 | 2020 | 55 | |
| 11 | 2010 | 51 | |
| 12 | 2020 | 51 | |
| 13 | 2018 | 50 | |
| 14 | 2022 | 48 | |
| 15 | 2013 | 45 | |
| 16 | 2021 | 45 | |
| 17 | 2011 | 42 | |
| 18 | 2021 | 39 | |
| 19 | 2014 | 34 | |
| 20 | 2020 | 33 |
About Yipeng Zhou
Yipeng Zhou is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Statistical and Nonlinear Physics, having authored 182 papers that have together received 2.6k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (58 papers), Caching and Content Delivery (29 papers), Image and Video Quality Assessment (20 papers), Recommender Systems and Techniques (18 papers), Peer-to-Peer Network Technologies (17 papers), IoT and Edge/Fog Computing (10 papers), Network Traffic and Congestion Control (8 papers) and Complex Network Analysis Techniques (6 papers). The work is most often cited by research in Computer Networks and Communications (1k citations), Artificial Intelligence (890 citations), Computer Vision and Pattern Recognition (381 citations), Information Systems (338 citations) and Signal Processing (46 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, Xu Chen, Tom Z. J. Fu, Xi Zheng, Yong Li and Bülthoff Chen M. 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 Dependable and Secure Computing.
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.