Mingming Zhao
Impact in
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- Adaptive Dynamic Programming Control
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- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
Papers in
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- Adaptive Dynamic Programming Control 41
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- Reinforcement Learning in Robotics 22
- Co-authors
- Ding Wang (41 shared papers)Junfei Qiao (19 shared papers)Mingming Ha (11 shared papers)Jinchen Ji (2 shared papers)Lingzhi Hu (7 shared papers)Jie Bi (1 shared paper)Naili Zhang (1 shared paper)Linghao Li (1 shared paper)
In The Last Decade
Mingming Zhao
62 papers receiving 1.2k citations
Mingming Zhao's Hit Papers
Peers
Comparison fields: 5 of 91
- Computational Theory and Mathematics 524
- Control and Systems Engineering 456
- Soil Science 113
- Artificial Intelligence 294
- Environmental Chemistry 52
Countries citing papers authored by Mingming Zhao
This map shows the geographic impact of Mingming Zhao'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 Mingming Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Zhao more than expected).
Fields of papers citing papers by Mingming Zhao
This network shows the impact of papers produced by Mingming Zhao. 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 Mingming Zhao. The network helps show where Mingming Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingming Zhao, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The intelligent critic framework for advanced optimal control Hit paper breakdown → | 2022 | 142 |
| 2 | 2008 | 134 | |
| 3 | 2017 | 93 | |
| 4 | 2022 | 79 | |
| 5 | 2015 | 76 | |
| 6 | 2023 | 73 | |
| 7 | 2021 | 61 | |
| 8 | 2023 | 48 | |
| 9 | 2021 | 43 | |
| 10 | 2023 | 38 | |
| 11 | 2021 | 33 | |
| 12 | 2016 | 30 | |
| 13 | 2022 | 28 | |
| 14 | 2020 | 23 | |
| 15 | 2021 | 23 | |
| 16 | 2023 | 22 | |
| 17 | 2020 | 20 | |
| 18 | 2023 | 18 | |
| 19 | 2023 | 16 | |
| 20 | 2024 | 11 |
About Mingming Zhao
Mingming Zhao is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Biomedical Engineering, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (41 papers), Reinforcement Learning in Robotics (22 papers), Adaptive Control of Nonlinear Systems (17 papers), Mechanical Circulatory Support Devices (12 papers), Advanced Control Systems Optimization (9 papers), Frequency Control in Power Systems (8 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (524 citations), Control and Systems Engineering (456 citations), Soil Science (113 citations), Artificial Intelligence (294 citations) and Environmental Chemistry (52 citations). Mingming Zhao has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Ding Wang, Junfei Qiao, Mingming Ha, Jinchen Ji, Lingzhi Hu, Jie Bi, Naili Zhang, Linghao Li, Keping Ma and Shiqiang Wan. Their work appears in journals such as Neurocomputing, International Journal of Robust and Nonlinear Control, IEEE Transactions on Systems Man and Cybernetics Systems, Neural Networks and IEEE Transactions on Industrial Informatics.
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.