Kun Yu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Instrumentation top 10%
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Advanced Vision and Imaging 5
- Optical measurement and interference techniques 5
- Image Retrieval and Classification Techniques 4
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- Advanced Image Fusion Techniques 4
Kun Yu
42 papers receiving 359 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 175
- Instrumentation 27
- Aerospace Engineering 145
- Nuclear and High Energy Physics 65
- Media Technology 36
Countries citing papers authored by Kun Yu
This map shows the geographic impact of Kun Yu'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 Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yu more than expected).
Fields of papers citing papers by Kun Yu
This network shows the impact of papers produced by Kun Yu. 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 Yu. The network helps show where Kun Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Yu, 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 | Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges Hit paper breakdown → | 2025 | 25 |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 0 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 9 | |
| 13 | 2019 | 2 | |
| 14 | 2019 | 28 | |
| 15 | 2016 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2014 | 45 | |
| 18 | Multi-target Detection of Underwater Vehicle Based On Multi-sensor Data Fusion | 2012 | 1 |
| 19 | 2011 | 2 | |
| 20 | 2011 | 1 |
About Kun Yu
Kun Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 49 papers that have together received 376 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Mobile Ad Hoc Networks (6 papers), Advanced Vision and Imaging (5 papers), Optical measurement and interference techniques (5 papers), Advanced Image Fusion Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (175 citations), Instrumentation (27 citations), Aerospace Engineering (145 citations), Nuclear and High Energy Physics (65 citations) and Media Technology (36 citations). Kun Yu has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Jie Ma, Bin Fang, Tao Ma, Pei An, Jun Zhang, W. Jin, Nengchao Wang, Qiming Hu, G. Zhuang and Bo Rao. Their work appears in journals such as Optics Express, IEEE Geoscience and Remote Sensing Letters, Remote Sensing, Fusion Engineering and Design and Signal Processing Image Communication.
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.