Baofang Wang
Impact in
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- Adaptive Control of Nonlinear Systems
- Iterative Learning Control Systems
- Control and Dynamics of Mobile Robots
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- Robotic Path Planning Algorithms
Papers in
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- Adaptive Control of Nonlinear Systems 15
- Iterative Learning Control Systems 9
- Control and Dynamics of Mobile Robots 4
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- Distributed Control Multi-Agent Systems 8
- Neural Networks Stability and Synchronization 5
- Co-authors
- Jinpeng Yu (9 shared papers)Makoto Iwasaki (3 shared papers)Jian Guo (2 shared papers)Sheng Li (1 shared paper)Qingwei Chen (1 shared paper)Mingjie Cai (10 shared papers)Xiang Wang (5 shared papers)Xinkai Chen (2 shared papers)
In The Last Decade
Baofang Wang
21 papers receiving 272 citations
Peers
Comparison fields: 5 of 38
- Control and Systems Engineering 187
- Computer Vision and Pattern Recognition 69
- Computational Theory and Mathematics 36
- Computer Networks and Communications 51
- Automotive Engineering 22
Countries citing papers authored by Baofang Wang
This map shows the geographic impact of Baofang Wang'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 Baofang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baofang Wang more than expected).
Fields of papers citing papers by Baofang Wang
This network shows the impact of papers produced by Baofang Wang. 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 Baofang Wang. The network helps show where Baofang Wang may publish in the future.
Co-authors
The 15 scholars most cited alongside Baofang Wang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 76 | |
| 2 | 2021 | 72 | |
| 3 | 2022 | 38 | |
| 4 | 2023 | 17 | |
| 5 | 2022 | 14 | |
| 6 | 2020 | 13 | |
| 7 | 2021 | 10 | |
| 8 | 2018 | 8 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2017 | 1 |
About Baofang Wang
Baofang Wang is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Mechanical Engineering, Computer Vision and Pattern Recognition and Energy Engineering and Power Technology, having authored 23 papers that have together received 276 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (15 papers), Iterative Learning Control Systems (9 papers), Distributed Control Multi-Agent Systems (8 papers), Control Systems in Engineering (7 papers), Neural Networks Stability and Synchronization (5 papers), Control and Dynamics of Mobile Robots (4 papers), Robotic Path Planning Algorithms (2 papers) and Power Systems and Renewable Energy (2 papers). The work is most often cited by research in Control and Systems Engineering (187 citations), Computer Vision and Pattern Recognition (69 citations), Computational Theory and Mathematics (36 citations), Computer Networks and Communications (51 citations) and Automotive Engineering (22 citations). Baofang Wang has collaborated with scholars based in China and Japan. Frequent co-authors include Jinpeng Yu, Makoto Iwasaki, Jian Guo, Sheng Li, Qingwei Chen, Mingjie Cai, Xiang Wang, Xinkai Chen, Qingwei Chen and Mingxuan Yang. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, IEEE Access, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Industrial Informatics 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.