Ruiting Zhou
Impact in
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- IoT and Edge/Fog Computing
- Age of Information Optimization
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- IoT and Edge/Fog Computing 22
- Optimization and Search Problems 11
- Age of Information Optimization 11
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- Privacy-Preserving Technologies in Data 17
- Co-authors
- Zongpeng Li (36 shared papers)Chuan Wu (15 shared papers)Haisheng Tan (8 shared papers)Lei Jiao (11 shared papers)John C. S. Lui (9 shared papers)Renli Zhang (3 shared papers)Zhiyi Huang (1 shared paper)Xiaoyi Wu (1 shared paper)
In The Last Decade
Ruiting Zhou
66 papers receiving 882 citations
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 544
- Computer Science Applications 111
- Information Systems 304
- Management Science and Operations Research 103
- Artificial Intelligence 263
Countries citing papers authored by Ruiting Zhou
This map shows the geographic impact of Ruiting 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 Ruiting Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruiting Zhou more than expected).
Fields of papers citing papers by Ruiting Zhou
This network shows the impact of papers produced by Ruiting 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 Ruiting Zhou. The network helps show where Ruiting Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruiting 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 72 | |
| 2 | 2022 | 69 | |
| 3 | 2022 | 67 | |
| 4 | 2017 | 66 | |
| 5 | 2015 | 45 | |
| 6 | 2022 | 42 | |
| 7 | 2022 | 41 | |
| 8 | 2015 | 36 | |
| 9 | 2018 | 33 | |
| 10 | 2019 | 25 | |
| 11 | 2020 | 21 | |
| 12 | 2020 | 21 | |
| 13 | 2022 | 21 | |
| 14 | 2020 | 19 | |
| 15 | 2013 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2024 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2022 | 12 |
About Ruiting Zhou
Ruiting Zhou is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Management Science and Operations Research, having authored 70 papers that have together received 891 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (22 papers), Privacy-Preserving Technologies in Data (17 papers), Cloud Computing and Resource Management (14 papers), Blockchain Technology Applications and Security (12 papers), Optimization and Search Problems (11 papers), Age of Information Optimization (11 papers), Auction Theory and Applications (10 papers) and Mobile Crowdsensing and Crowdsourcing (8 papers). The work is most often cited by research in Computer Networks and Communications (544 citations), Computer Science Applications (111 citations), Information Systems (304 citations), Management Science and Operations Research (103 citations) and Artificial Intelligence (263 citations). Ruiting Zhou has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Zongpeng Li, Chuan Wu, Haisheng Tan, Lei Jiao, John C. S. Lui, Renli Zhang, Zhiyi Huang, Xiaoyi Wu, Zhi Zhou and Xu Chen. Their work appears in journals such as IEEE Transactions on Mobile Computing, Computer Networks, IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal and IEEE/ACM Transactions on Networking.
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.