Jia Pan
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- Robotic Path Planning Algorithms 63
- Advanced Vision and Imaging 18
- Video Surveillance and Tracking Methods 17
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning 48
- Robotic Mechanisms and Dynamics 16
- Automotive Engineering top 1%
- Aerospace Engineering top 0.5%
- Robotics and Sensor-Based Localization 49
- Human-Computer Interaction top 2%
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- Soft Robotics and Applications 16
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- Reinforcement Learning in Robotics 15
- Co-authors
- Dinesh ManochaWenxi LiuPinxin LongZhe HuSachin ChittaTingxiang FanYoucan YanZhengbao Yang
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAutomotive Engineering
- Journals
- IEEE Robotics and Automation Letters (39 papers)IEEE Transactions on Robotics (7 papers)The International Journal of Robotics Research (6 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Jia Pan
219 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Computer Vision and Pattern Recognition 2.9k
- Control and Systems Engineering 1.8k
- Automotive Engineering 616
- Aerospace Engineering 1.2k
- Human-Computer Interaction 192
Countries citing papers authored by Jia Pan
This map shows the geographic impact of Jia Pan'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 Jia Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Pan more than expected).
Fields of papers citing papers by Jia Pan
This network shows the impact of papers produced by Jia Pan. 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 Jia Pan. The network helps show where Jia Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jia Pan, 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 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 79 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 14 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 12 | |
| 17 | 2022 | 19 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 16 | |
| 20 | FCL: A general purpose library for collision and proximity queriesbreakdown → | 2012 | 361 |
About Jia Pan
Jia Pan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 239 papers that have together received 5.8k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (63 papers), Robotics and Sensor-Based Localization (49 papers), Robot Manipulation and Learning (48 papers), Advanced Vision and Imaging (18 papers), Video Surveillance and Tracking Methods (17 papers), Robotic Mechanisms and Dynamics (16 papers), Soft Robotics and Applications (16 papers) and Reinforcement Learning in Robotics (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Control and Systems Engineering (1.8k citations) and Automotive Engineering (616 citations). Jia Pan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Dinesh Manocha, Wenxi Liu, Pinxin Long, Zhe Hu, Sachin Chitta, Tingxiang Fan, Youcan Yan, Zhengbao Yang, Chaoyang Song and Pieter Abbeel. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, The International Journal of Robotics Research, Automation in Construction and IEEE Transactions on Automation Science and Engineering.
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.