Ruijin Ding
Impact in
- Aerospace Engineering top 2%
- UAV Applications and Optimization
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- Distributed Control Multi-Agent Systems
- IoT and Edge/Fog Computing
Papers in
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- UAV Applications and Optimization 8
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- Distributed Control Multi-Agent Systems 4
- Software-Defined Networks and 5G 2
- Cooperative Communication and Network Coding 2
- Co-authors
- Feifei Gao (9 shared papers)Xuemin Shen (7 shared papers)Jing Jiang (2 shared papers)Zhu Han (1 shared paper)Yu Zhang (1 shared paper)Zhiyu Mou (1 shared paper)Yadong Xu (2 shared papers)Jun Liu (4 shared papers)
- Journals
- IEEE Transactions on Vehicular Technology (2 papers)IEEE Transactions on Wireless Communications (1 paper)IEEE Access (1 paper)China Communications (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- ChinaCanadaSouth Korea
In The Last Decade
Ruijin Ding
12 papers receiving 674 citations
Ruijin Ding's Hit Papers
Peers
Comparison fields: 5 of 45
- Aerospace Engineering 473
- Computer Networks and Communications 370
- Computer Vision and Pattern Recognition 122
- Electrical and Electronic Engineering 323
- Artificial Intelligence 60
Countries citing papers authored by Ruijin Ding
This map shows the geographic impact of Ruijin Ding'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 Ruijin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruijin Ding more than expected).
Fields of papers citing papers by Ruijin Ding
This network shows the impact of papers produced by Ruijin Ding. 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 Ruijin Ding. The network helps show where Ruijin Ding may publish in the future.
Co-authors
The 18 scholars most cited alongside Ruijin Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach Hit paper breakdown → | 2020 | 228 |
| 2 | 2020 | 205 | |
| 3 | 2021 | 69 | |
| 4 | 2019 | 51 | |
| 5 | 2020 | 50 | |
| 6 | 2022 | 48 | |
| 7 | 2020 | 15 | |
| 8 | 2015 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2020 | 3 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 1 |
About Ruijin Ding
Ruijin Ding is a scholar working on Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Molecular Biology, having authored 12 papers that have together received 681 indexed citations. Recurring topics across this work include UAV Applications and Optimization (8 papers), Distributed Control Multi-Agent Systems (4 papers), Advanced MIMO Systems Optimization (3 papers), Software-Defined Networks and 5G (2 papers), Cooperative Communication and Network Coding (2 papers), Video Surveillance and Tracking Methods (2 papers), Wireless Communication Security Techniques (2 papers) and Advanced Optical Network Technologies (1 paper). The work is most often cited by research in Aerospace Engineering (473 citations), Computer Networks and Communications (370 citations), Computer Vision and Pattern Recognition (122 citations), Electrical and Electronic Engineering (323 citations) and Artificial Intelligence (60 citations). Ruijin Ding has collaborated with scholars based in China, Canada and South Korea. Frequent co-authors include Feifei Gao, Xuemin Shen, Jing Jiang, Zhu Han, Yu Zhang, Zhiyu Mou, Yadong Xu, Jun Liu, Wen Wu and Junhui Zhao. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications, IEEE Access, China Communications and IEEE Internet of Things Journal.
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.