Ben M. Chen
- Control and Systems Engineering top 0.1%
- Adaptive Control of Nonlinear Systems 105
- Stability and Control of Uncertain Systems 74
- Iterative Learning Control Systems 57
- Control Systems and Identification 40
- Aerospace Engineering top 0.2%
- Robotics and Sensor-Based Localization 84
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- Robotic Path Planning Algorithms 117
- Advanced Vision and Imaging 38
- Computer Networks and Communications top 0.5%
- Distributed Control Multi-Agent Systems 61
- Media Technology top 0.5%
Ben M. Chen
428 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Control and Systems Engineering 5.4k
- Aerospace Engineering 2.7k
- Computer Vision and Pattern Recognition 2.0k
- Computer Networks and Communications 1.6k
- Media Technology 464
Countries citing papers authored by Ben M. Chen
This map shows the geographic impact of Ben M. Chen'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 Ben M. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben M. Chen more than expected).
Fields of papers citing papers by Ben M. Chen
This network shows the impact of papers produced by Ben M. Chen. 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 Ben M. Chen. The network helps show where Ben M. Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ben M. Chen, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 4 | |
| 5 | Single drone-based 3D reconstruction approach to improve public engagement in conservation of heritage buildings: A case of Hakka Tuloubreakdown → | 2024 | 33 |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 17 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 29 | |
| 15 | 2022 | 13 | |
| 16 | 2022 | 16 | |
| 17 | 2018 | 24 | |
| 18 | 2011 | 280 | |
| 19 | An RPT approach to time-critical path following of an unmanned helicopter | 2011 | 8 |
| 20 | 1991 | 34 |
About Ben M. Chen
Ben M. Chen is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Geology and Computer Networks and Communications, having authored 458 papers that have together received 9.3k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (117 papers), Adaptive Control of Nonlinear Systems (105 papers), Robotics and Sensor-Based Localization (84 papers), Stability and Control of Uncertain Systems (74 papers), Distributed Control Multi-Agent Systems (61 papers), Iterative Learning Control Systems (57 papers), Control Systems and Identification (40 papers) and Advanced Vision and Imaging (38 papers). The work is most often cited by research in Control and Systems Engineering (5.4k citations), Aerospace Engineering (2.7k citations), Computer Vision and Pattern Recognition (2.0k citations), Computer Networks and Communications (1.6k citations) and Media Technology (464 citations). Ben M. Chen has collaborated with scholars based in Singapore, Hong Kong and China. Frequent co-authors include Zongli Lin, Tong H. Lee, Kemao Peng, Tingshu Hu, Guowei Cai, Tae-Hee Lee, Tong Heng Lee, Ali Saberi, Venkatesh Venkataramanan and Feng Lin. Their work appears in journals such as Automatica, International Journal of Control, IEEE Transactions on Industrial Electronics, Unmanned Systems and Mechatronics.
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.