Kun Jiang
Impact in
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety
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- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
Papers in
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- Robotic Path Planning Algorithms 11
- Video Surveillance and Tracking Methods 11
- Advanced Neural Network Applications 8
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- Autonomous Vehicle Technology and Safety 33
- Co-authors
- Diange Yang (33 shared papers)Zhongyang Xiao (12 shared papers)Mengmeng Yang (23 shared papers)Zhong Cao (13 shared papers)Jing Lu (1 shared paper)Diange Yang (22 shared papers)H. T. Wong (2 shared papers)Xinyu Jiao (6 shared papers)
- Journals
- Sensors (6 papers)IEEE Transactions on Intelligent Transportation Systems (4 papers)Automotive Innovation (4 papers)Neurocomputing (2 papers)Transportation Research Part C Emerging Technologies (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Kun Jiang
129 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 141
- Automotive Engineering 455
- Computer Vision and Pattern Recognition 382
- Control and Systems Engineering 269
- Instrumentation 36
- Aerospace Engineering 256
Countries citing papers authored by Kun Jiang
This map shows the geographic impact of Kun Jiang'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 Kun Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Jiang more than expected).
Fields of papers citing papers by Kun Jiang
This network shows the impact of papers produced by Kun Jiang. 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 Kun Jiang. The network helps show where Kun Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Jiang, 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 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 143 | |
| 2 | 2021 | 142 | |
| 3 | 2018 | 132 | |
| 4 | 2020 | 109 | |
| 5 | 2016 | 85 | |
| 6 | 2019 | 78 | |
| 7 | 2019 | 51 | |
| 8 | 2023 | 47 | |
| 9 | 2020 | 34 | |
| 10 | Qiliqiangxin improves cardiac function and attenuates cardiac remodeling in rats with experimental myocardial infarction. | 2015 | 28 |
| 11 | 2022 | 26 | |
| 12 | 2022 | 25 | |
| 13 | 2019 | 21 | |
| 14 | 2015 | 19 | |
| 15 | 2018 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2022 | 17 | |
| 18 | 2023 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2019 | 15 |
About Kun Jiang
Kun Jiang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Artificial Intelligence and Ocean Engineering, having authored 150 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (33 papers), Robotics and Sensor-Based Localization (17 papers), Remote Sensing and LiDAR Applications (11 papers), Robotic Path Planning Algorithms (11 papers), Video Surveillance and Tracking Methods (11 papers), Traffic Prediction and Management Techniques (10 papers), Traffic control and management (9 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Automotive Engineering (455 citations), Computer Vision and Pattern Recognition (382 citations), Control and Systems Engineering (269 citations), Instrumentation (36 citations) and Aerospace Engineering (256 citations). Kun Jiang has collaborated with scholars based in China, United States and France. Frequent co-authors include Diange Yang, Zhongyang Xiao, Mengmeng Yang, Zhong Cao, Jing Lu, Diange Yang, H. T. Wong, Xinyu Jiao, Zhihua Wang and Shigang Liu. Their work appears in journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems, Automotive Innovation, Neurocomputing and Transportation Research Part C Emerging Technologies.
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.