Mingcheng Dai
Impact in
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- Stability and Control of Uncertain Systems
- Adaptive Control of Nonlinear Systems
- Stability and Controllability of Differential Equations
- Fault Detection and Control Systems
- Control Systems and Identification
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- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
Papers in
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- Neural Networks Stability and Synchronization 6
- Distributed Control Multi-Agent Systems 2
- Nonlinear Dynamics and Pattern Formation 1
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- Stability and Control of Uncertain Systems 6
- Advanced Control Systems Optimization 1
- Co-authors
- Hao Shen (6 shared papers)Jianwei Xia (3 shared papers)Ju H. Park (2 shared papers)Huaicheng Yan (1 shared paper)Mohammed Chadli (1 shared paper)Jinde Cao (1 shared paper)Yiping Luo (1 shared paper)Jing Wang (1 shared paper)
- Journals
- Applied Mathematics and Computation (2 papers)Journal of the Franklin Institute (2 papers)Neural Processing Letters (1 paper)Neurocomputing (1 paper)IEEE Transactions on Circuits & Systems II Express Briefs (1 paper)
- Partner nations
- ChinaSouth KoreaHong Kong
In The Last Decade
Mingcheng Dai
10 papers receiving 432 citations
Peers
Comparison fields: 5 of 38
- Control and Systems Engineering 317
- Computer Networks and Communications 291
- Statistical and Nonlinear Physics 56
- Computational Theory and Mathematics 41
- Artificial Intelligence 50
Countries citing papers authored by Mingcheng Dai
This map shows the geographic impact of Mingcheng Dai'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 Mingcheng Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingcheng Dai more than expected).
Fields of papers citing papers by Mingcheng Dai
This network shows the impact of papers produced by Mingcheng Dai. 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 Mingcheng Dai. The network helps show where Mingcheng Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingcheng Dai, 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 | 2020 | 94 | |
| 2 | 2017 | 87 | |
| 3 | 2018 | 84 | |
| 4 | 2018 | 79 | |
| 5 | 2019 | 44 | |
| 6 | 2019 | 39 | |
| 7 | 2021 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2025 | 0 |
About Mingcheng Dai
Mingcheng Dai is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Oceanography, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 11 papers that have together received 432 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (6 papers), Stability and Control of Uncertain Systems (6 papers), Advanced SAR Imaging Techniques (2 papers), Distributed Control Multi-Agent Systems (2 papers), Underwater Acoustics Research (2 papers), Advanced Control Systems Optimization (1 paper), Fuzzy Logic and Control Systems (1 paper) and Nonlinear Dynamics and Pattern Formation (1 paper). The work is most often cited by research in Control and Systems Engineering (317 citations), Computer Networks and Communications (291 citations), Statistical and Nonlinear Physics (56 citations), Computational Theory and Mathematics (41 citations) and Artificial Intelligence (50 citations). Mingcheng Dai has collaborated with scholars based in China, South Korea and Hong Kong. Frequent co-authors include Hao Shen, Jianwei Xia, Ju H. Park, Huaicheng Yan, Mohammed Chadli, Jinde Cao, Yiping Luo, Jing Wang, Bo Chen and Kun Liang. Their work appears in journals such as Applied Mathematics and Computation, Journal of the Franklin Institute, Neural Processing Letters, Neurocomputing and IEEE Transactions on Circuits & Systems II Express Briefs.
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.