Ruijin Ding

898 total citations · 1 hit paper
11 papers, 643 citations indexed

About

Ruijin Ding is a scholar working on Aerospace Engineering, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Ruijin Ding has authored 11 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 7 papers in Computer Networks and Communications and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Ruijin Ding's work include UAV Applications and Optimization (8 papers), Distributed Control Multi-Agent Systems (4 papers) and Advanced MIMO Systems Optimization (3 papers). Ruijin Ding is often cited by papers focused on UAV Applications and Optimization (8 papers), Distributed Control Multi-Agent Systems (4 papers) and Advanced MIMO Systems Optimization (3 papers). Ruijin Ding collaborates with scholars based in China, Canada and South Korea. Ruijin Ding's co-authors include Feifei Gao, Xuemin Shen, Jing Jiang, Yu Zhang, Zhiyu Mou, Zhu Han, Yadong Xu, Jun Liu, Wen Wu and Junhui Zhao and has published in prestigious journals such as IEEE Access, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Ruijin Ding

11 papers receiving 633 citations

Hit Papers

3D UAV Trajectory Design and Frequency Band Allocation fo... 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. 3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach
    2020 220 citations Ruijin Ding, Feifei Gao et al. IEEE Transactions on Wireless Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ruijin Ding China 7 454 354 316 118 59 11 643
Noureddine Chaib Algeria 8 354 0.8× 340 1.0× 256 0.8× 85 0.7× 49 0.8× 22 537
Zhiyu Mou China 5 296 0.7× 214 0.6× 172 0.5× 105 0.9× 59 1.0× 11 414
Ebrahim Bedeer Canada 16 312 0.7× 494 1.4× 704 2.2× 90 0.8× 56 0.9× 61 978
Mesut Güneş Germany 12 303 0.7× 676 1.9× 364 1.2× 66 0.6× 29 0.5× 74 810
Linlin Sun China 12 236 0.5× 196 0.6× 303 1.0× 97 0.8× 59 1.0× 27 500
Demeke Shumeye Lakew South Korea 12 464 1.0× 502 1.4× 395 1.3× 96 0.8× 67 1.1× 33 798
Fanghui Huang China 12 214 0.5× 134 0.4× 196 0.6× 54 0.5× 58 1.0× 35 365
Zhiqun Hu China 12 175 0.4× 269 0.8× 238 0.8× 68 0.6× 42 0.7× 51 465

Countries citing papers authored by Ruijin Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ruijin Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Ruijin Ding. A scholar is included among the top collaborators of Ruijin Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruijin Ding. Ruijin Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Ding, Ruijin, et al.. (2022). Packet Routing in Dynamic Multi-Hop UAV Relay Network: A Multi-Agent Learning Approach. IEEE Transactions on Vehicular Technology. 71(9). 10059–10072. 42 indexed citations
2.
Chen, Jiawei, Ruijin Ding, Wen Wu, et al.. (2022). Multi-Agent Learning Based Packet Routing in Multi-Hop UAV Relay Network. ICC 2022 - IEEE International Conference on Communications. 1–6. 4 indexed citations
3.
4.
Ding, Ruijin, Yadong Xu, Feifei Gao, & Xuemin Shen. (2021). Trajectory Design and Access Control for Air–Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning. IEEE Internet of Things Journal. 9(8). 5785–5798. 67 indexed citations
5.
Ding, Ruijin, Feifei Gao, Guanghua Yang, & Xuemin Shen. (2021). Air-Ground Coordination Communication by Multi-Agent Deep Reinforcement Learning. 38. 1–6. 1 indexed citations
6.
Zhang, Yu, Zhiyu Mou, Feifei Gao, et al.. (2020). UAV-Enabled Secure Communications by Multi-Agent Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology. 69(10). 11599–11611. 193 indexed citations
7.
Ding, Ruijin, Feifei Gao, & Xuemin Shen. (2020). 3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach. IEEE Transactions on Wireless Communications. 19(12). 7796–7809. 220 indexed citations breakdown →
8.
Zhao, Junhui, et al.. (2020). Energy-efficient UAV trajectory design for backscatter communication: A deep reinforcement learning approach. China Communications. 17(10). 129–141. 48 indexed citations
9.
Ding, Ruijin, Feifei Gao, & Xuemin Shen. (2020). Deep Reinforcement Learning Based 3D UAV Trajectory Design and Frequency Band Allocation. 1–6. 3 indexed citations
10.
Ding, Ruijin, Yuwen Yang, Jun Liu, Hongyan Li, & Feifei Gao. (2020). Packet Routing Against Network Congestion: A Deep Multi-agent Reinforcement Learning Approach. 932–937. 15 indexed citations
11.
Ding, Ruijin, Yadong Xu, Feifei Gao, Xuemin Shen, & Wen Wu. (2019). Deep Reinforcement Learning for Router Selection in Network With Heavy Traffic. IEEE Access. 7. 37109–37120. 49 indexed citations

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.

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