Kun Wei
Impact in
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- Multimodal Machine Learning Applications
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 18
- Text and Document Classification Technologies 5
- Anomaly Detection Techniques and Applications 4
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- Multimodal Machine Learning Applications 14
- Generative Adversarial Networks and Image Synthesis 5
- Human Pose and Action Recognition 5
- Advanced Neural Network Applications 5
- Co-authors
- Cheng Deng (29 shared papers)Bingyin Ren (1 shared paper)Xu Yang (20 shared papers)Muli Yang (4 shared papers)Yanan Gu (4 shared papers)Hao Wang (1 shared paper)Xianglong Liu (1 shared paper)Heng Huang (2 shared papers)
- Journals
- IEEE Transactions on Image Processing (3 papers)IEEE Transactions on Multimedia (3 papers)Neurocomputing (2 papers)IEEE Transactions on Cybernetics (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Kun Wei
44 papers receiving 881 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 540
- Artificial Intelligence 478
- Control and Systems Engineering 125
- Radiology, Nuclear Medicine and Imaging 92
- Aerospace Engineering 100
Countries citing papers authored by Kun Wei
This map shows the geographic impact of Kun Wei'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 Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Wei more than expected).
Fields of papers citing papers by Kun Wei
This network shows the impact of papers produced by Kun Wei. 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 Wei. The network helps show where Kun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Wei, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 193 | |
| 2 | 2019 | 74 | |
| 3 | 2022 | 64 | |
| 4 | 2021 | 57 | |
| 5 | 2021 | 55 | |
| 6 | 2020 | 48 | |
| 7 | 2022 | 43 | |
| 8 | Adversarial Learning for Robust Deep Clustering | 2020 | 38 |
| 9 | 2021 | 32 | |
| 10 | 2021 | 23 | |
| 11 | 2023 | 21 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2022 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2024 | 13 | |
| 18 | 2011 | 13 | |
| 19 | 2021 | 13 | |
| 20 | 2022 | 12 |
About Kun Wei
Kun Wei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 895 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (18 papers), Multimodal Machine Learning Applications (14 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Human Pose and Action Recognition (5 papers), Advanced Neural Network Applications (5 papers), Formal Methods in Verification (5 papers), Text and Document Classification Technologies (5 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (540 citations), Artificial Intelligence (478 citations), Control and Systems Engineering (125 citations), Radiology, Nuclear Medicine and Imaging (92 citations) and Aerospace Engineering (100 citations). Kun Wei has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Cheng Deng, Bingyin Ren, Xu Yang, Muli Yang, Yanan Gu, Hao Wang, Xianglong Liu, Heng Huang, Zhe Xu and Dacheng Tao. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, Neurocomputing, IEEE Transactions on Cybernetics 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.