Lu Dong
Impact in
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- Adaptive Control of Nonlinear Systems
- Microgrid Control and Optimization
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- Adaptive Dynamic Programming Control
Papers in
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- Reinforcement Learning in Robotics 22
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- Adaptive Control of Nonlinear Systems 18
- Control and Dynamics of Mobile Robots 5
- Co-authors
- Changyin Sun (44 shared papers)Haibo He (5 shared papers)X. Zhong (3 shared papers)Yuncheng Ouyang (5 shared papers)Zichen He (7 shared papers)Lei Xue (4 shared papers)Yufei Tang (1 shared paper)Yuanda Wang (9 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (5 papers)IEEE/CAA Journal of Automatica Sinica (5 papers)IEEE Transactions on Fuzzy Systems (4 papers)Neural Computing and Applications (3 papers)IEEE Transactions on Cybernetics (3 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Lu Dong
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Control and Systems Engineering 782
- Computational Theory and Mathematics 520
- Artificial Intelligence 432
- Computer Networks and Communications 266
- Computer Vision and Pattern Recognition 232
Countries citing papers authored by Lu Dong
This map shows the geographic impact of Lu Dong'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 Lu Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Dong more than expected).
Fields of papers citing papers by Lu Dong
This network shows the impact of papers produced by Lu Dong. 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 Lu Dong. The network helps show where Lu Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Dong, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 182 | |
| 2 | 2016 | 154 | |
| 3 | 2016 | 150 | |
| 4 | 2020 | 101 | |
| 5 | 2021 | 80 | |
| 6 | 2019 | 74 | |
| 7 | 2018 | 70 | |
| 8 | 2020 | 62 | |
| 9 | 2023 | 62 | |
| 10 | 2021 | 61 | |
| 11 | 2020 | 45 | |
| 12 | 2020 | 36 | |
| 13 | 2014 | 34 | |
| 14 | 2022 | 31 | |
| 15 | 2021 | 30 | |
| 16 | 2023 | 25 | |
| 17 | 2020 | 22 | |
| 18 | 2022 | 18 | |
| 19 | 2020 | 18 | |
| 20 | 2022 | 17 |
About Lu Dong
Lu Dong is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (24 papers), Reinforcement Learning in Robotics (22 papers), Adaptive Control of Nonlinear Systems (18 papers), Distributed Control Multi-Agent Systems (11 papers), Robotic Path Planning Algorithms (8 papers), UAV Applications and Optimization (5 papers), Frequency Control in Power Systems (5 papers) and Control and Dynamics of Mobile Robots (5 papers). The work is most often cited by research in Control and Systems Engineering (782 citations), Computational Theory and Mathematics (520 citations), Artificial Intelligence (432 citations), Computer Networks and Communications (266 citations) and Computer Vision and Pattern Recognition (232 citations). Lu Dong has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Changyin Sun, Haibo He, X. Zhong, Yuncheng Ouyang, Zichen He, Lei Xue, Yufei Tang, Yuanda Wang, Haibo He and Chunwei Song. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Fuzzy Systems, Neural Computing and Applications and IEEE Transactions on Cybernetics.
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.