Kun Yan
Impact in
- Computational Mathematics top 10%
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
Papers in
-
- Blind Source Separation Techniques 12
- Speech and Audio Processing 5
- Co-authors
- Hsiao‐Chun Wu (44 shared papers)Xiangli Zhang (14 shared papers)Shih‐Hau Fang (9 shared papers)Chengxi Yu (1 shared paper)Ying‐Ren Chien (1 shared paper)Zhezhuang Xu (1 shared paper)Yu Bai (2 shared papers)Hailin Xiao (4 shared papers)
- Journals
- IEEE Sensors Journal (6 papers)IEEE Transactions on Wireless Communications (4 papers)IEEE Transactions on Broadcasting (3 papers)IEEE Communications Letters (2 papers)IEEE Wireless Communications (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Kun Yan
65 papers receiving 554 citations
Peers
Comparison fields: 5 of 85
- Computational Mathematics 15
- Media Technology 78
- Signal Processing 81
- Human-Computer Interaction 33
- Aerospace Engineering 135
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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 110 | |
| 2 | 2013 | 53 | |
| 3 | 2019 | 52 | |
| 4 | 2010 | 28 | |
| 5 | 2010 | 24 | |
| 6 | 2016 | 22 | |
| 7 | 2015 | 19 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 17 | |
| 10 | 2023 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2012 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2008 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 6 |
About Kun Yan
Kun Yan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 70 papers that have together received 563 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (12 papers), Indoor and Outdoor Localization Technologies (11 papers), Wireless Signal Modulation Classification (7 papers), Speech and Audio Processing (5 papers), Advanced Adaptive Filtering Techniques (4 papers), Optical Wireless Communication Technologies (4 papers), Hand Gesture Recognition Systems (4 papers) and Wireless Communication Networks Research (3 papers). The work is most often cited by research in Computational Mathematics (15 citations), Media Technology (78 citations), Signal Processing (81 citations), Human-Computer Interaction (33 citations) and Aerospace Engineering (135 citations). Kun Yan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hsiao‐Chun Wu, Xiangli Zhang, Shih‐Hau Fang, Chengxi Yu, Ying‐Ren Chien, Zhezhuang Xu, Yu Bai, Hailin Xiao, Jinye Peng and Yiyan Wu. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Wireless Communications, IEEE Transactions on Broadcasting, IEEE Communications Letters and IEEE Wireless Communications.
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.