Kang Sun
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- Robotic Path Planning Algorithms 17
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 9
- Spacecraft Dynamics and Control 5
- Space Satellite Systems and Control 4
- Control and Systems Engineering top 10%
- Robotic Mechanisms and Dynamics 6
- Fault Detection and Control Systems 4
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- Power System Optimization and Stability 3
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- Astro and Planetary Science 3
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Graphics and Computer-Aided Design
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kang Sun
37 papers receiving 320 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 218
- Aerospace Engineering 204
- Computer Graphics and Computer-Aided Design 19
- Control and Systems Engineering 89
- Computer Networks and Communications 73
Countries citing papers authored by Kang Sun
This map shows the geographic impact of Kang Sun'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 Kang Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Sun more than expected).
Fields of papers citing papers by Kang Sun
This network shows the impact of papers produced by Kang Sun. 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 Kang Sun. The network helps show where Kang Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kang Sun, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 9 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 1 | |
| 10 | 2020 | 0 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 0 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 2 | |
| 15 | Design of a Laser Range Finder for End Perception of Robot Arm | 2014 | 0 |
| 16 | Comparison and Analysis for Reliable and Efficient Data Center Relocation | 2013 | 0 |
| 17 | 1995 | 1 | |
| 18 | Motion planning with uncertainty for a 3d Cartesian robot arm | 1991 | 5 |
| 19 | 1990 | 3 | |
| 20 | 1987 | 7 |
About Kang Sun
Kang Sun is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 49 papers that have together received 344 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (17 papers), Robotics and Sensor-Based Localization (9 papers), Robotic Mechanisms and Dynamics (6 papers), Spacecraft Dynamics and Control (5 papers), Fault Detection and Control Systems (4 papers), Space Satellite Systems and Control (4 papers), Power System Optimization and Stability (3 papers) and Astro and Planetary Science (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (218 citations), Aerospace Engineering (204 citations) and Computer Graphics and Computer-Aided Design (19 citations). Kang Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include V. Lumelsky, S. Mukhopadhyay, Albert T. Wu, Weipao Miao, Peilin Wang, Shuai Luo, Qingsong Liu, Chun Li, Zhinong Wei and Guoqiang Sun. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Access and Energy.
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.