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 9
- 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
- Co-authors
- Mac Schwager (9 shared papers)Zijian Wang (2 shared papers)Saptarshi Bandyopadhyay (1 shared paper)Carlos Bastarreche Sagües (2 shared papers)Eduardo Montijano (2 shared papers)Li Jiang (2 shared papers)Xinyu Wu (2 shared papers)Cristian-Ioan Vasile (2 shared papers)
- Journals
- IEEE Transactions on Robotics (2 papers)Robotica (1 paper)Springer tracts in advanced robotics (1 paper)IEEE Robotics and Automation Letters (1 paper)Autonomous Robots (1 paper)
- Partner nations
- United StatesSpainChina
In The Last Decade
Dingjiang Zhou
11 papers receiving 766 citations
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 441
- Computer Vision and Pattern Recognition 361
- Aerospace Engineering 273
- Control and Systems Engineering 231
- Ocean Engineering 58
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 | 212 | |
| 2 | 2018 | 134 | |
| 3 | 2016 | 129 | |
| 4 | 2014 | 71 | |
| 5 | 2014 | 65 | |
| 6 | 2015 | 49 | |
| 7 | 2014 | 42 | |
| 8 | 2015 | 30 | |
| 9 | 2015 | 30 | |
| 10 | 2015 | 22 | |
| 11 | 2016 | 13 |
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 Ocean Engineering, having authored 11 papers that have together received 797 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (9 papers), Robotic Path Planning Algorithms (6 papers), Adaptive Control of Nonlinear Systems (3 papers), Robot Manipulation and Learning (2 papers), Optimization and Search Problems (1 paper), Robotics and Automated Systems (1 paper), Neuroscience and Neural Engineering (1 paper) and Formal Methods in Verification (1 paper). The work is most often cited by research in Computer Networks and Communications (441 citations), Computer Vision and Pattern Recognition (361 citations), Aerospace Engineering (273 citations), Control and Systems Engineering (231 citations) and Ocean Engineering (58 citations). Dingjiang Zhou has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Mac Schwager, Zijian Wang, Saptarshi Bandyopadhyay, Carlos Bastarreche Sagües, Eduardo Montijano, Li Jiang, Xinyu Wu, Cristian-Ioan Vasile, Calin A. Belta and Kevin Leahy. Their work appears in journals such as IEEE Transactions on Robotics, Robotica, Springer tracts in advanced robotics, IEEE Robotics and Automation Letters 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.