Dingjiang Zhou
Impact in
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- Distributed Control Multi-Agent Systems
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- Robotic Path Planning Algorithms
Papers in
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- Distributed Control Multi-Agent Systems 8
- Optimization and Search Problems 1
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- Adaptive Control of Nonlinear Systems 3
- Robot Manipulation and Learning 2
- Robotics and Automated Systems 1
- Advanced Control Systems Optimization 1
- Co-authors
- Mac Schwager (8 shared papers)Zijian Wang (2 shared papers)Saptarshi Bandyopadhyay (1 shared paper)Carlos Sagüés (2 shared papers)Eduardo Montijano (2 shared papers)Li Jiang (2 shared papers)Xinyu Wu (2 shared papers)Wei Feng (1 shared paper)
- Journals
- IEEE Transactions on Robotics (2 papers)IEEE Robotics and Automation Letters (1 paper)IEEE/ASME Transactions on Mechatronics (1 paper)Robotica (1 paper)Autonomous Robots (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Dingjiang Zhou
10 papers receiving 629 citations
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 377
- Computer Vision and Pattern Recognition 307
- Aerospace Engineering 238
- Control and Systems Engineering 208
- Ocean Engineering 55
Countries citing papers authored by Dingjiang Zhou
This map shows the geographic impact of Dingjiang 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 Dingjiang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingjiang Zhou more than expected).
Fields of papers citing papers by Dingjiang Zhou
This network shows the impact of papers produced by Dingjiang 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 Dingjiang Zhou. The network helps show where Dingjiang Zhou may publish in the future.
Co-authors
The 16 scholars most cited alongside Dingjiang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 180 | |
| 2 | 2018 | 116 | |
| 3 | 2016 | 112 | |
| 4 | 2014 | 62 | |
| 5 | 2014 | 56 | |
| 6 | 2015 | 41 | |
| 7 | 2014 | 34 | |
| 8 | 2015 | 24 | |
| 9 | 2015 | 15 | |
| 10 | 2016 | 11 |
About Dingjiang Zhou
Dingjiang Zhou is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 651 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (8 papers), Robotic Path Planning Algorithms (5 papers), Adaptive Control of Nonlinear Systems (3 papers), Robot Manipulation and Learning (2 papers), Optimization and Search Problems (1 paper), Neuroscience and Neural Engineering (1 paper), Robotics and Automated Systems (1 paper) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Computer Networks and Communications (377 citations), Computer Vision and Pattern Recognition (307 citations), Aerospace Engineering (238 citations), Control and Systems Engineering (208 citations) and Ocean Engineering (55 citations). Dingjiang Zhou has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Mac Schwager, Zijian Wang, Saptarshi Bandyopadhyay, Carlos Sagüés, Eduardo Montijano, Li Jiang, Xinyu Wu, Wei Feng, Hong Liu and Ting Zhang. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters, IEEE/ASME Transactions on Mechatronics, Robotica and Autonomous Robots.
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.