Baoliu Ye
Impact in
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- IoT and Edge/Fog Computing
- Cooperative Communication and Network Coding
- Caching and Content Delivery
- Software-Defined Networks and 5G
- Information Systems top 2%
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
Papers in
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- Cooperative Communication and Network Coding 26
- Caching and Content Delivery 19
- IoT and Edge/Fog Computing 17
- Software-Defined Networks and 5G 13
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- Advanced MIMO Systems Optimization 11
- Co-authors
- Song Guo (35 shared papers)Sanglu Lu (50 shared papers)Bin Tang (36 shared papers)Peng Li (5 shared papers)Minyi Guo (5 shared papers)Zhihao Qu (29 shared papers)Kun Wang (2 shared papers)Weihua Zhuang (6 shared papers)
In The Last Decade
Baoliu Ye
104 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Computer Networks and Communications 832
- Information Systems 303
- Computer Vision and Pattern Recognition 172
- Artificial Intelligence 263
- Electrical and Electronic Engineering 454
Countries citing papers authored by Baoliu Ye
This map shows the geographic impact of Baoliu Ye'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 Baoliu Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoliu Ye more than expected).
Fields of papers citing papers by Baoliu Ye
This network shows the impact of papers produced by Baoliu Ye. 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 Baoliu Ye. The network helps show where Baoliu Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoliu Ye, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 175 | |
| 2 | 2019 | 82 | |
| 3 | 2015 | 60 | |
| 4 | 2014 | 38 | |
| 5 | 2020 | 34 | |
| 6 | 2013 | 34 | |
| 7 | 2019 | 33 | |
| 8 | 2012 | 33 | |
| 9 | 2015 | 33 | |
| 10 | 2019 | 31 | |
| 11 | 2020 | 31 | |
| 12 | 2021 | 30 | |
| 13 | 2016 | 30 | |
| 14 | 2023 | 29 | |
| 15 | 2013 | 27 | |
| 16 | 2021 | 26 | |
| 17 | 2023 | 23 | |
| 18 | 2021 | 22 | |
| 19 | 2012 | 21 | |
| 20 | 2019 | 20 |
About Baoliu Ye
Baoliu Ye is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 119 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (26 papers), Caching and Content Delivery (19 papers), IoT and Edge/Fog Computing (17 papers), Privacy-Preserving Technologies in Data (17 papers), Cloud Computing and Resource Management (13 papers), Software-Defined Networks and 5G (13 papers), Advanced MIMO Systems Optimization (11 papers) and Auction Theory and Applications (10 papers). The work is most often cited by research in Computer Networks and Communications (832 citations), Information Systems (303 citations), Computer Vision and Pattern Recognition (172 citations), Artificial Intelligence (263 citations) and Electrical and Electronic Engineering (454 citations). Baoliu Ye has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Song Guo, Sanglu Lu, Bin Tang, Peng Li, Minyi Guo, Zhihao Qu, Kun Wang, Weihua Zhuang, Jiangtao Luo and Chenhan Xu. Their work appears in journals such as IEEE Transactions on Mobile Computing, Computer Networks, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems and Information Sciences.
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.