Bodi Ma
Impact in
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- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Aerospace Engineering top 10%
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
Papers in
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- Adaptive Control of Nonlinear Systems 3
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- Advanced Image and Video Retrieval Techniques 2
- Robotic Path Planning Algorithms 2
- Advanced Neural Network Applications 2
- Co-authors
- Zhenbao Liu (6 shared papers)Qingqing Dang (3 shared papers)Feihong Jiang (2 shared papers)Xiao Wang (2 shared papers)Shuhui Bu (1 shared paper)Qiang An (1 shared paper)Lulu Chen (1 shared paper)Jun Zhang (1 shared paper)
- Journals
- Chinese Journal of Aeronautics (2 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)Measurement Science and Technology (1 paper)IEEE Access (1 paper)
- Partner nations
- China
In The Last Decade
Bodi Ma
8 papers receiving 264 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 119
- Aerospace Engineering 116
- Computer Networks and Communications 76
- Control and Systems Engineering 68
- Industrial and Manufacturing Engineering 17
Countries citing papers authored by Bodi Ma
This map shows the geographic impact of Bodi 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 Bodi Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bodi Ma more than expected).
Fields of papers citing papers by Bodi Ma
This network shows the impact of papers produced by Bodi 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 Bodi Ma. The network helps show where Bodi Ma may publish in the future.
Co-authors
The 15 scholars most cited alongside Bodi 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 | 2023 | 74 | |
| 2 | 2022 | 55 | |
| 3 | 2019 | 54 | |
| 4 | 2023 | 42 | |
| 5 | 2023 | 34 | |
| 6 | 2022 | 13 | |
| 7 | 2022 | 5 | |
| 8 | 2020 | 4 | |
| 9 | 2025 | 1 |
About Bodi Ma
Bodi Ma is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 9 papers that have together received 282 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (3 papers), Adaptive Dynamic Programming Control (2 papers), Aerospace and Aviation Technology (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Distributed Control Multi-Agent Systems (2 papers), Robotic Path Planning Algorithms (2 papers), Advanced Neural Network Applications (2 papers) and Vehicle Routing Optimization Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (119 citations), Aerospace Engineering (116 citations), Computer Networks and Communications (76 citations), Control and Systems Engineering (68 citations) and Industrial and Manufacturing Engineering (17 citations). Bodi Ma has collaborated with scholars based in China. Frequent co-authors include Zhenbao Liu, Qingqing Dang, Feihong Jiang, Xiao Wang, Shuhui Bu, Qiang An, Lulu Chen, Jun Zhang, Lina Wang and Zhenghong Gao. Their work appears in journals such as Chinese Journal of Aeronautics, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Instrumentation and Measurement, Measurement Science and Technology and IEEE Access.
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.