Yuben Qu
Impact in
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- IoT and Edge/Fog Computing
- Distributed Control Multi-Agent Systems
- Age of Information Optimization
- Aerospace Engineering top 2%
- UAV Applications and Optimization
Papers in
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- IoT and Edge/Fog Computing 16
- Cooperative Communication and Network Coding 11
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- UAV Applications and Optimization 31
- Co-authors
- Chao Dong (46 shared papers)Haipeng Dai (28 shared papers)Fan Wu (15 shared papers)Song Guo (15 shared papers)Qihui Wu (15 shared papers)Yun Shen (5 shared papers)Chaocan Xiang (7 shared papers)Shaojie Tang (12 shared papers)
- Journals
- IEEE Transactions on Mobile Computing (9 papers)IEEE Internet of Things Journal (7 papers)IEEE Transactions on Vehicular Technology (3 papers)IEEE Transactions on Cognitive Communications and Networking (3 papers)IEEE Network (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yuben Qu
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 604
- Aerospace Engineering 465
- Computer Science Applications 83
- Computer Vision and Pattern Recognition 197
- Artificial Intelligence 300
Countries citing papers authored by Yuben Qu
This map shows the geographic impact of Yuben Qu'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 Yuben Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuben Qu more than expected).
Fields of papers citing papers by Yuben Qu
This network shows the impact of papers produced by Yuben Qu. 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 Yuben Qu. The network helps show where Yuben Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuben Qu, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 96 | |
| 2 | 2021 | 88 | |
| 3 | 2021 | 85 | |
| 4 | 2022 | 57 | |
| 5 | 2021 | 47 | |
| 6 | 2022 | 46 | |
| 7 | 2021 | 46 | |
| 8 | 2021 | 44 | |
| 9 | 2020 | 44 | |
| 10 | 2023 | 42 | |
| 11 | 2020 | 36 | |
| 12 | 2023 | 35 | |
| 13 | 2022 | 32 | |
| 14 | 2018 | 31 | |
| 15 | 2020 | 30 | |
| 16 | 2023 | 28 | |
| 17 | 2020 | 26 | |
| 18 | 2021 | 20 | |
| 19 | 2023 | 20 | |
| 20 | 2021 | 18 |
About Yuben Qu
Yuben Qu is a scholar working on Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include UAV Applications and Optimization (31 papers), Privacy-Preserving Technologies in Data (17 papers), IoT and Edge/Fog Computing (16 papers), Advanced MIMO Systems Optimization (11 papers), Cooperative Communication and Network Coding (11 papers), Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (10 papers) and Advanced Wireless Communication Technologies (7 papers). The work is most often cited by research in Computer Networks and Communications (604 citations), Aerospace Engineering (465 citations), Computer Science Applications (83 citations), Computer Vision and Pattern Recognition (197 citations) and Artificial Intelligence (300 citations). Yuben Qu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chao Dong, Haipeng Dai, Fan Wu, Song Guo, Qihui Wu, Yun Shen, Chaocan Xiang, Shaojie Tang, Fuhui Zhou and Hai Wang. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Cognitive Communications and Networking and IEEE Network.
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.