Kun Yan
Impact in
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- Optical measurement and interference techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
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- 3D Surveying and Cultural Heritage
Papers in
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- Optical measurement and interference techniques 6
- Advanced Vision and Imaging 6
- Advanced Neural Network Applications 4
- Robotic Path Planning Algorithms 3
- Advanced Image and Video Retrieval Techniques 3
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- Robotics and Sensor-Based Localization 7
- Aerospace Engineering and Control Systems 3
- Co-authors
- Enhai Liu (11 shared papers)Rujin Zhao (11 shared papers)Ping Wang (4 shared papers)Jinmian Ye (1 shared paper)Meng Ma (2 shared papers)Zhuang Zhang (1 shared paper)Jinglu Wang (1 shared paper)Yunze Xu (1 shared paper)
- Journals
- Measurement (3 papers)IEEE Access (2 papers)Sensors (2 papers)Robotics and Autonomous Systems (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaSpainUnited States
In The Last Decade
Kun Yan
20 papers receiving 231 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 164
- Geology 27
- Aerospace Engineering 97
- Computational Mathematics 1
- Artificial Intelligence 36
Countries citing papers authored by Kun Yan
This map shows the geographic impact of Kun Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yan more than expected).
Fields of papers citing papers by Kun Yan
This network shows the impact of papers produced by Kun Yan. 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 Yan. The network helps show where Kun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Yan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 45 | |
| 2 | 2018 | 37 | |
| 3 | 2018 | 26 | |
| 4 | 2023 | 17 | |
| 5 | 2018 | 15 | |
| 6 | 2018 | 14 | |
| 7 | 2019 | 12 | |
| 8 | 2016 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 9 | |
| 11 | 2019 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2009 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2010 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2017 | 2 | |
| 19 | 2010 | 2 | |
| 20 | 2013 | 1 |
About Kun Yan
Kun Yan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 240 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Optical measurement and interference techniques (6 papers), Advanced Vision and Imaging (6 papers), Image Processing Techniques and Applications (5 papers), Advanced Neural Network Applications (4 papers), Aerospace Engineering and Control Systems (3 papers), Robotic Path Planning Algorithms (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Geology (27 citations), Aerospace Engineering (97 citations), Computational Mathematics (1 citation) and Artificial Intelligence (36 citations). Kun Yan has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Enhai Liu, Rujin Zhao, Ping Wang, Jinmian Ye, Meng Ma, Zhuang Zhang, Jinglu Wang, Yunze Xu, Fangyun Wei and Dan Zuo. Their work appears in journals such as Measurement, IEEE Access, Sensors, Robotics and Autonomous Systems and Scientific Reports.
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.