Jinshan Pan
- Computer Vision and Pattern Recognition top 0.1%
- Media Technology top 0.05%
- Safety, Risk, Reliability and Quality top 2%
- Biomedical Engineering
- Computational Mechanics top 5%
- Topics
- Advanced Image Processing Techniques (82 papers)Image and Signal Denoising Methods (51 papers)Advanced Vision and Imaging (38 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Industrial ElectronicsIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jinshan Pan
89 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 5.7k
- Media Technology 3.1k
- Safety, Risk, Reliability and Quality 228
- Biomedical Engineering 199
- Computational Mechanics 194
Countries citing papers authored by Jinshan Pan
This map shows the geographic impact of Jinshan 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 Jinshan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinshan Pan more than expected).
Fields of papers citing papers by Jinshan Pan
This network shows the impact of papers produced by Jinshan 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 Jinshan Pan. The network helps show where Jinshan Pan may publish in the future.
Co-authorship network of co-authors of Jinshan Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Jinshan Pan. A scholar is included among the top collaborators of Jinshan Pan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinshan Pan. Jinshan Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 91 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 16 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | 11 | |
| 13 | 135 | |
| 14 | 39 | |
| 15 | 19 | |
| 16 | 166 | |
| 17 | 92 | |
| 18 | 66 | |
| 19 | Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation | 43 |
| 20 | AN SIR EPIDEMIC MODEL WITH NONLINEAR BIRTH PULSES | 0 |
About Jinshan Pan
Jinshan Pan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 99 papers that have together received 6.1k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (82 papers), Image and Signal Denoising Methods (51 papers) and Advanced Vision and Imaging (38 papers). The work is most often cited by research in Media Technology (3.1k citations), Computer Vision and Pattern Recognition (5.7k citations) and Acoustics and Ultrasonics (36 citations). Jinshan Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ming–Hsuan Yang, Zhixun Su, Deqing Sun, Jinhui Tang, Hanspeter Pfister, Jimmy Ren, Zhe Hu, Wenqi Ren, Jiawei Zhang and Xiaochun Cao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Industrial Electronics and IEEE Transactions on Image Processing.
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.