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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- Advanced Image and Video Retrieval Techniques 2
- Robotic Path Planning Algorithms 2
- Advanced Neural Network Applications 2
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- Adaptive Control of Nonlinear Systems 3
- Co-authors
- Zhenbao Liu (8 shared papers)Qingqing Dang (3 shared papers)Feihong Jiang (2 shared papers)Xiao Lu Wang (2 shared papers)Shuhui Bu (1 shared paper)Qiang An (1 shared paper)Lulu Chen (1 shared paper)Lina Wang (1 shared paper)
- Journals
- Chinese Journal of Aeronautics (2 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)Measurement Science and Technology (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)IEEE Access (1 paper)
- Partner nations
- China
In The Last Decade
Bodi Ma
10 papers receiving 324 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 132
- Aerospace Engineering 129
- Control and Systems Engineering 80
- Computer Networks and Communications 82
- 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 | 86 | |
| 2 | 2022 | 64 | |
| 3 | 2019 | 55 | |
| 4 | 2023 | 54 | |
| 5 | 2023 | 48 | |
| 6 | 2022 | 15 | |
| 7 | 2020 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2026 | 4 | |
| 10 | 2025 | 2 |
About Bodi Ma
Bodi Ma is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Computational Theory and Mathematics and Computer Networks and Communications, having authored 10 papers that have together received 338 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Distributed Control Multi-Agent Systems (2 papers), Aerospace and Aviation Technology (2 papers), Adaptive Dynamic Programming Control (2 papers), Robotic Path Planning Algorithms (2 papers), Advanced Neural Network Applications (2 papers) and Smart Grid and Power Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (132 citations), Aerospace Engineering (129 citations), Control and Systems Engineering (80 citations), Computer Networks and Communications (82 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 Lu Wang, Shuhui Bu, Qiang An, Lulu Chen, Lina Wang, Zhenghong Gao and Lulu Chen. Their work appears in journals such as Chinese Journal of Aeronautics, IEEE Transactions on Intelligent Transportation Systems, Measurement Science and Technology, IEEE Transactions on Instrumentation and Measurement 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.