Jun Dai
Impact in
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- Robotic Path Planning Algorithms
- Control and Systems Engineering top 10%
- Control and Dynamics of Mobile Robots
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
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- Robot Manipulation and Learning 6
- Control and Dynamics of Mobile Robots 3
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- Robotic Path Planning Algorithms 10
- Co-authors
- Yuntao Zhou (1 shared paper)Dong Zheng (1 shared paper)Haihong Pan (3 shared papers)Lin Chen (1 shared paper)Hua Deng (3 shared papers)Yi Zhang (3 shared papers)Jianjun Cui (1 shared paper)Geng Wang (1 shared paper)
In The Last Decade
Jun Dai
15 papers receiving 291 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 198
- Control and Systems Engineering 126
- Aerospace Engineering 106
- Industrial and Manufacturing Engineering 40
- Automotive Engineering 30
Countries citing papers authored by Jun Dai
This map shows the geographic impact of Jun Dai'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 Jun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dai more than expected).
Fields of papers citing papers by Jun Dai
This network shows the impact of papers produced by Jun Dai. 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 Jun Dai. The network helps show where Jun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dai, 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 | 2018 | 187 | |
| 2 | 2023 | 36 | |
| 3 | 2020 | 24 | |
| 4 | 2015 | 12 | |
| 5 | 2024 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2013 | 3 | |
| 11 | 2015 | 2 | |
| 12 | 2015 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2016 | 0 | |
| 18 | 2014 | 0 |
About Jun Dai
Jun Dai is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Automotive Engineering and Aerospace Engineering, having authored 18 papers that have together received 299 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Robot Manipulation and Learning (6 papers), Robotic Locomotion and Control (3 papers), Control and Dynamics of Mobile Robots (3 papers), Robotics and Sensor-Based Localization (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Vehicle Dynamics and Control Systems (2 papers) and Teleoperation and Haptic Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Control and Systems Engineering (126 citations), Aerospace Engineering (106 citations), Industrial and Manufacturing Engineering (40 citations) and Automotive Engineering (30 citations). Jun Dai has collaborated with scholars based in China, Japan and Iran. Frequent co-authors include Yuntao Zhou, Dong Zheng, Haihong Pan, Lin Chen, Hua Deng, Yi Zhang, Jianjun Cui, Geng Wang, Dong Li and Yi Zhang. Their work appears in journals such as Robotics and Autonomous Systems, Robotica, Electronics, IEEE Transactions on Industrial Electronics and IEEE Transactions on Magnetics.
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.