Jinshan Pan

15.0k total citations · 4 hit papers
99 papers, 6.1k citations indexed

About

Jinshan Pan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Jinshan Pan has authored 99 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Computer Vision and Pattern Recognition, 42 papers in Media Technology and 4 papers in Computational Mechanics. Recurrent topics in Jinshan Pan's work include Advanced Image Processing Techniques (82 papers), Image and Signal Denoising Methods (51 papers) and Advanced Vision and Imaging (38 papers). Jinshan Pan is often cited by papers focused on Advanced Image Processing Techniques (82 papers), Image and Signal Denoising Methods (51 papers) and Advanced Vision and Imaging (38 papers). Jinshan Pan collaborates with scholars based in China, United States and Hong Kong. Jinshan Pan's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Industrial Electronics and IEEE Transactions on Image Processing.

In The Last Decade

Jinshan Pan

89 papers receiving 5.9k citations

Hit Papers

Multi-Scale Boosted Dehazing Network W... 2014 2026 2018 2022 2020 2016 2018 2014 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jinshan Pan China 38 5.7k 3.1k 228 199 194 99 6.1k
Xueyang Fu China 39 6.7k 1.2× 3.7k 1.2× 138 0.6× 471 2.4× 173 0.9× 116 7.5k
Wenqi Ren China 46 7.0k 1.2× 3.2k 1.1× 509 2.2× 331 1.7× 99 0.5× 161 7.8k
Jizheng Xu China 29 4.3k 0.8× 1.1k 0.3× 203 0.9× 81 0.4× 162 0.8× 170 4.7k
Jean‐Philippe Tarel France 21 2.7k 0.5× 1.0k 0.3× 180 0.8× 81 0.4× 87 0.4× 70 3.0k
Delu Zeng China 18 2.9k 0.5× 1.4k 0.5× 65 0.3× 140 0.7× 50 0.3× 67 3.2k
Rajiv Soundararajan India 14 5.8k 1.0× 2.5k 0.8× 33 0.1× 240 1.2× 105 0.5× 49 6.3k
Risheng Liu China 38 5.9k 1.0× 3.2k 1.0× 102 0.4× 439 2.2× 437 2.3× 204 7.3k
Qingxiong Yang Hong Kong 35 5.4k 1.0× 1.2k 0.4× 107 0.5× 127 0.6× 124 0.6× 76 5.9k
Kai‐Kuang Ma Singapore 30 3.9k 0.7× 1.2k 0.4× 31 0.1× 141 0.7× 203 1.0× 177 4.5k
Yanyun Qu China 26 2.9k 0.5× 1.0k 0.3× 198 0.9× 163 0.8× 488 2.5× 131 3.5k

Countries citing papers authored by Jinshan Pan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Chen, Xiang, Jinshan Pan, Jiangxin Dong, & Jinhui Tang. (2025). Towards Unified Deep Image Deraining: A Survey and a New Benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5414–5433. 5 indexed citations
2.
Wang, Cong, Jinshan Pan, Xiaofeng Liu, et al.. (2025). Ultra-High-Definition Image Restoration: New Benchmarks and a Dual Interaction Prior-Driven Solution. IEEE Transactions on Circuits and Systems for Video Technology. 36(2). 2052–2068.
3.
Pan, Jinshan, et al.. (2025). Learning Efficient Deep Discriminative Spatial and Temporal Networks for Video Deblurring. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5708–5722.
4.
Pan, Jinshan, et al.. (2024). BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-Based Video Colorization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(8). 5612–5624. 7 indexed citations
5.
Wang, Cong, Jinshan Pan, Wei Wang, et al.. (2024). Correlation Matching Transformation Transformers for UHD Image Restoration. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5336–5344. 25 indexed citations
6.
Pan, Jinshan, et al.. (2023). Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-Local Spatial-Temporal Similarity. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 9411–9425. 12 indexed citations
7.
8.
Li, Hao, Jinghui Qin, Zhijing Yang, et al.. (2022). Real-World Image Super-Resolution by Exclusionary Dual-Learning. IEEE Transactions on Multimedia. 25. 4752–4763. 16 indexed citations
9.
Pan, Jinshan, et al.. (2022). Bi-Directional Pseudo-Three-Dimensional Network for Video Frame Interpolation. IEEE Transactions on Image Processing. 31. 6773–6788. 2 indexed citations
10.
Chen, Liang, Jinshan Pan, Junjun Jiang, et al.. (2021). Multi-Stage Degradation Homogenization for Super-Resolution of Face Images With Extreme Degradations. IEEE Transactions on Image Processing. 30. 5600–5612. 8 indexed citations
11.
Cao, Junjie, et al.. (2021). Latent Tangent Space Representation for Normal Estimation. IEEE Transactions on Industrial Electronics. 69(1). 921–929. 17 indexed citations
12.
Li, Runde, et al.. (2020). Task-Oriented Network for Image Dehazing. IEEE Transactions on Image Processing. 29. 6523–6534. 39 indexed citations
13.
Li, Lerenhan, Wenqi Ren, Jinshan Pan, et al.. (2019). Semi-Supervised Image Dehazing. IEEE Transactions on Image Processing. 29. 2766–2779. 166 indexed citations
14.
Chen, Liang, Jinshan Pan, & Qing Li. (2019). Robust Face Image Super-Resolution via Joint Learning of Subdivided Contextual Model. IEEE Transactions on Image Processing. 28(12). 5897–5909. 19 indexed citations
15.
Zhou, Shangchen, Jiawei Zhang, Wangmeng Zuo, et al.. (2019). DAVANet: Stereo Deblurring With View Aggregation. 10988–10997. 67 indexed citations
16.
Ren, Wenqi, Jiawei Zhang, Lin Ma, et al.. (2018). Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation. Neural Information Processing Systems. 31. 297–307. 43 indexed citations
17.
Luo, Yue, Jimmy Ren, Zhouxia Wang, et al.. (2018). LSTM Pose Machines. 5207–5215. 92 indexed citations
18.
Pan, Jinshan, Wenqi Ren, Zhe Hu, & Ming–Hsuan Yang. (2018). Learning to Deblur Images with Exemplars. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(6). 1412–1425. 66 indexed citations
19.
Zhang, Jiawei, Jinshan Pan, Jimmy Ren, et al.. (2018). Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks. University of Birmingham Research Portal (University of Birmingham). 2521–2529. 251 indexed citations
20.
Jin, Zhen, et al.. (2015). AN SIR EPIDEMIC MODEL WITH NONLINEAR BIRTH PULSES.

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.

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