Yu Pan
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
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- Advanced Neural Network Applications
- Human Pose and Action Recognition
Papers in ⓘ
-
- Advanced Neural Network Applications 6
- Advanced Image and Video Retrieval Techniques 5
- Image and Signal Denoising Methods 4
- Advanced Vision and Imaging 3
- Image and Video Stabilization 2
- Co-authors
- Wei Ji (2 shared papers)Bo Xu (2 shared papers)Juncheng Wang (1 shared paper)Pramod Kumar Meher (2 shared papers)Zenglin Xu (4 shared papers)Jing Xu (3 shared papers)Kun Bai (2 shared papers)Maolin Wang (2 shared papers)
- Journals
- IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)Electronics (1 paper)Complex & Intelligent Systems (1 paper)Machine Learning Science and Technology (1 paper)Neural Networks (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yu Pan
37 papers receiving 365 citations
Peers
Comparison fields: 5 of 85
- Computational Mathematics 53
- Computer Vision and Pattern Recognition 124
- Signal Processing 45
- Analytical Chemistry 36
- Plant Science 113
Countries citing papers authored by Yu Pan
This map shows the geographic impact of Yu Pan'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 Yu Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Pan more than expected).
Fields of papers citing papers by Yu Pan
This network shows the impact of papers produced by Yu Pan. 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 Yu Pan. The network helps show where Yu Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Pan, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 107 | |
| 2 | 2019 | 70 | |
| 3 | 2021 | 52 | |
| 4 | 2013 | 36 | |
| 5 | 2021 | 28 | |
| 6 | 2022 | 10 | |
| 7 | 2016 | 7 | |
| 8 | 2011 | 6 | |
| 9 | 2021 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2021 | 3 | |
| 16 | Calibrator Automatic Calibration System for Headlamp Tester of Motor Vehicle Based on Image Processing | 2015 | 2 |
| 17 | 2021 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2019 | 2 |
About Yu Pan
Yu Pan is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Business and International Management, Signal Processing and Media Technology, having authored 44 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Image and Signal Denoising Methods (4 papers), Image Processing Techniques and Applications (3 papers), Advanced Vision and Imaging (3 papers), Industrial Vision Systems and Defect Detection (2 papers), Advanced Measurement and Detection Methods (2 papers) and Image and Video Stabilization (2 papers). The work is most often cited by research in Computational Mathematics (53 citations), Computer Vision and Pattern Recognition (124 citations), Signal Processing (45 citations), Analytical Chemistry (36 citations) and Plant Science (113 citations). Yu Pan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wei Ji, Bo Xu, Juncheng Wang, Pramod Kumar Meher, Zenglin Xu, Jing Xu, Kun Bai, Maolin Wang, Fei Wang and Dean Zhao. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, Electronics, Complex & Intelligent Systems, Machine Learning Science and Technology and Neural Networks.
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.