Kai Yan
- Aerospace Engineering top 10%
- High-Temperature Coating Behaviors 4
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- Industrial Vision Systems and Defect Detection 4
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- Intermetallics and Advanced Alloy Properties 3
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- Surface Roughness and Optical Measurements 5
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- Control and Dynamics of Mobile Robots 4
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- Robotic Path Planning Algorithms 4
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- Catalytic Processes in Materials Science 3
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- Soft Robotics and Applications 3
- Journals
- Rare Metals (2 papers)Corrosion Science (2 papers)Journal of Colloid and Interface Science (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kai Yan
31 papers receiving 375 citations
Peers
Comparison fields: 5 of 72
- Aerospace Engineering 155
- Industrial and Manufacturing Engineering 60
- Acoustics and Ultrasonics 4
- Mechanical Engineering 117
- Ceramics and Composites 18
Countries citing papers authored by Kai Yan
This map shows the geographic impact of Kai 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 Kai Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yan more than expected).
Fields of papers citing papers by Kai Yan
This network shows the impact of papers produced by Kai 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 Kai Yan. The network helps show where Kai Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 18 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 2 | |
| 8 | 2018 | 6 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 1 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 2 | |
| 13 | 2016 | 5 | |
| 14 | 2016 | 1 | |
| 15 | 2015 | 13 | |
| 16 | 2015 | 42 | |
| 17 | 2014 | 41 | |
| 18 | 2013 | 48 | |
| 19 | 2009 | 1 | |
| 20 | 2009 | 2 |
About Kai Yan
Kai Yan is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation, Industrial and Manufacturing Engineering, Control and Systems Engineering and Computational Mechanics, having authored 34 papers that have together received 389 indexed citations. Recurring topics across this work include Surface Roughness and Optical Measurements (5 papers), High-Temperature Coating Behaviors (4 papers), Control and Dynamics of Mobile Robots (4 papers), Robotic Path Planning Algorithms (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Intermetallics and Advanced Alloy Properties (3 papers), Catalytic Processes in Materials Science (3 papers) and Soft Robotics and Applications (3 papers). The work is most often cited by research in Aerospace Engineering (155 citations), Industrial and Manufacturing Engineering (60 citations), Acoustics and Ultrasonics (4 citations), Mechanical Engineering (117 citations) and Ceramics and Composites (18 citations). Kai Yan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hongbo Guo, Shengkai Gong, Fei Tao, Ying Cheng, Meng Zhu, Jialing Xie, Chao Chang, John Verboncoeur, Jian Bai and Lin Zhou. Their work appears in journals such as Rare Metals, Corrosion Science, Journal of Colloid and Interface Science, Medical Physics and IEEE Transactions on Circuits & Systems II Express Briefs.
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.