Weimu Ma
Impact in
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- Robotic Mechanisms and Dynamics
- Adaptive Control of Nonlinear Systems
- Iterative Learning Control Systems
Papers in
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- Robotic Mechanisms and Dynamics 7
- Adaptive Control of Nonlinear Systems 2
- Iterative Learning Control Systems 2
- Control Systems and Identification 1
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- Neural Networks and Applications 8
- Target Tracking and Data Fusion in Sensor Networks 1
- Co-authors
- Yunong Zhang (9 shared papers)Binghuang Cai (3 shared papers)Chenfu Yi (1 shared paper)Xiao-Dong Li (1 shared paper)Ke Chen (1 shared paper)Hong‐Zhou Tan (1 shared paper)Jiahai Wang (1 shared paper)Peng Li (1 shared paper)
- Journals
- Simulation Modelling Practice and Theory (1 paper)IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)Neurocomputing (1 paper)
- Partner nations
- China
In The Last Decade
Weimu Ma
9 papers receiving 301 citations
Peers
Comparison fields: 5 of 36
- Control and Systems Engineering 238
- Computational Mathematics 3
- Artificial Intelligence 157
- Computer Vision and Pattern Recognition 71
- Statistical and Nonlinear Physics 30
Countries citing papers authored by Weimu Ma
This map shows the geographic impact of Weimu Ma'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 Weimu Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weimu Ma more than expected).
Fields of papers citing papers by Weimu Ma
This network shows the impact of papers produced by Weimu Ma. 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 Weimu Ma. The network helps show where Weimu Ma may publish in the future.
Co-authors
The 10 scholars most cited alongside Weimu Ma, 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 | 2008 | 161 | |
| 2 | 2009 | 42 | |
| 3 | 2008 | 36 | |
| 4 | 2008 | 18 | |
| 5 | 2008 | 18 | |
| 6 | 2008 | 9 | |
| 7 | 2008 | 8 | |
| 8 | 2008 | 8 | |
| 9 | 2008 | 3 |
About Weimu Ma
Weimu Ma is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics and Mechanical Engineering, having authored 9 papers that have together received 303 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Robotic Mechanisms and Dynamics (7 papers), Adaptive Control of Nonlinear Systems (2 papers), Iterative Learning Control Systems (2 papers), Magnetic Properties and Applications (1 paper), Target Tracking and Data Fusion in Sensor Networks (1 paper), Control Systems and Identification (1 paper) and Advanced Measurement and Metrology Techniques (1 paper). The work is most often cited by research in Control and Systems Engineering (238 citations), Computational Mathematics (3 citations), Artificial Intelligence (157 citations), Computer Vision and Pattern Recognition (71 citations) and Statistical and Nonlinear Physics (30 citations). Weimu Ma has collaborated with scholars based in China. Frequent co-authors include Yunong Zhang, Binghuang Cai, Chenfu Yi, Xiao-Dong Li, Ke Chen, Hong‐Zhou Tan, Jiahai Wang, Ke Chen, Ke Chen and Peng Li. Their work appears in journals such as Simulation Modelling Practice and Theory, IEEE Transactions on Circuits and Systems I Regular Papers and Neurocomputing.
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.