Kai Yang
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
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- Emotion and Mood Recognition
Papers in
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- Non-Destructive Testing Techniques 10
- Railway Engineering and Dynamics 9
- Electrical Contact Performance and Analysis 6
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- Advanced Vision and Imaging 7
- Optical measurement and interference techniques 6
- Co-authors
- Xiaorong Gao (22 shared papers)Li Tong (3 shared papers)Ying Zeng (3 shared papers)Bin Yan (2 shared papers)Ning Zhuang (1 shared paper)Jun Shu (1 shared paper)Zeyong Wang (9 shared papers)Lin Luo (5 shared papers)
- Journals
- Optik (4 papers)IEEE Access (3 papers)Sensors (2 papers)Neurocomputing (1 paper)Journal of Electromagnetic Waves and Applications (1 paper)
- Partner nations
- ChinaJapanNew Zealand
In The Last Decade
Kai Yang
57 papers receiving 411 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 104
- Experimental and Cognitive Psychology 60
- Media Technology 40
- Computer Vision and Pattern Recognition 82
- Industrial and Manufacturing Engineering 39
Countries citing papers authored by Kai Yang
This map shows the geographic impact of Kai Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yang more than expected).
Fields of papers citing papers by Kai Yang
This network shows the impact of papers produced by Kai Yang. 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 Yang. The network helps show where Kai Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Yang, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 130 | |
| 2 | 2009 | 26 | |
| 3 | 2020 | 23 | |
| 4 | 2010 | 20 | |
| 5 | 2019 | 13 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 11 | |
| 8 | 2015 | 11 | |
| 9 | 2014 | 10 | |
| 10 | 2016 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2011 | 9 | |
| 13 | 2017 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2005 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2011 | 5 | |
| 20 | 2022 | 5 |
About Kai Yang
Kai Yang is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Mechanics of Materials and Computational Mechanics, having authored 69 papers that have together received 427 indexed citations. Recurring topics across this work include Non-Destructive Testing Techniques (10 papers), Railway Engineering and Dynamics (9 papers), Ultrasonics and Acoustic Wave Propagation (9 papers), Surface Roughness and Optical Measurements (8 papers), Advanced Vision and Imaging (7 papers), Electrical Contact Performance and Analysis (6 papers), Optical measurement and interference techniques (6 papers) and Advanced Measurement and Detection Methods (6 papers). The work is most often cited by research in Cognitive Neuroscience (104 citations), Experimental and Cognitive Psychology (60 citations), Media Technology (40 citations), Computer Vision and Pattern Recognition (82 citations) and Industrial and Manufacturing Engineering (39 citations). Kai Yang has collaborated with scholars based in China, Japan and New Zealand. Frequent co-authors include Xiaorong Gao, Li Tong, Ying Zeng, Bin Yan, Ning Zhuang, Jun Shu, Zeyong Wang, Lin Luo, Li Wang and Jianping Peng. Their work appears in journals such as Optik, IEEE Access, Sensors, Neurocomputing and Journal of Electromagnetic Waves and Applications.
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.