Shangchen Zhou

3.5k total citations · 2 hit papers
36 papers, 1.2k citations indexed

About

Shangchen Zhou is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Shangchen Zhou has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 3 papers in Aerospace Engineering. Recurrent topics in Shangchen Zhou's work include Advanced Image Processing Techniques (14 papers), Advanced Vision and Imaging (13 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Shangchen Zhou is often cited by papers focused on Advanced Image Processing Techniques (14 papers), Advanced Vision and Imaging (13 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Shangchen Zhou collaborates with scholars based in Singapore, China and Hong Kong. Shangchen Zhou's co-authors include Chen Change Loy, Kelvin C. K. Chan, Xiangyu Xu, Haozhe Xie, Hongxun Yao, Wangmeng Zuo, Jiawei Zhang, Jinshan Pan, Jimmy Ren and Chongyi Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Shangchen Zhou

31 papers receiving 1.2k citations

Hit Papers

BasicVSR++: Improving Video Super-Resolution with Enhance... 2022 2026 2023 2024 2022 2024 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
    2022 278 citations Kelvin C. K. Chan, Shangchen Zhou et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  2. Exploiting Diffusion Prior for Real-World Image Super-Resolution
    2024 130 citations Jianyi Wang, Zongsheng Yue et al. International Journal of Computer Vision profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangchen Zhou Singapore 15 1.1k 257 100 55 39 36 1.2k
Yuanchao Bai China 12 1.2k 1.1× 585 2.3× 80 0.8× 29 0.5× 46 1.2× 26 1.4k
Renjie Wan Singapore 15 847 0.8× 288 1.1× 73 0.7× 68 1.2× 73 1.9× 39 1.0k
Seoung Wug Oh United States 13 982 0.9× 246 1.0× 82 0.8× 19 0.3× 28 0.7× 22 1.1k
Seungjun Nah South Korea 6 1.7k 1.5× 764 3.0× 65 0.7× 45 0.8× 70 1.8× 8 1.8k
Hossein Talebi United States 10 647 0.6× 306 1.2× 54 0.5× 32 0.6× 38 1.0× 27 753
Din-Chang Tseng Taiwan 15 701 0.6× 192 0.7× 73 0.7× 59 1.1× 14 0.4× 56 892
Donghyeon Cho South Korea 14 720 0.7× 117 0.5× 328 3.3× 32 0.6× 55 1.4× 33 869
Samuel Schulter United States 14 756 0.7× 330 1.3× 121 1.2× 17 0.3× 22 0.6× 31 854

Countries citing papers authored by Shangchen Zhou

Since Specialization
Citations

This map shows the geographic impact of Shangchen Zhou'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 Shangchen Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shangchen Zhou more than expected).

Fields of papers citing papers by Shangchen Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shangchen Zhou. 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 Shangchen Zhou. The network helps show where Shangchen Zhou may publish in the future.

Co-authorship network of co-authors of Shangchen Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Shangchen Zhou. A scholar is included among the top collaborators of Shangchen Zhou 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 Shangchen Zhou. Shangchen Zhou 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.
Kong, Weilin, Guojian Liu, Hong Zhu, et al.. (2025). Effect of intravenous tirofiban on the efficacy and safety of stent retriever versus aspiration first-line thrombectomy: secondary analysis of the RESCUE BT trial. International Journal of Surgery. 112(2). 3739–3750.
2.
3.
Zhou, Shangchen, et al.. (2025). 3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement. 16430–16440.
4.
Zhou, Shangchen, et al.. (2025). MatAnyone: Stable Video Matting with Consistent Memory Propagation. 7299–7308. 1 indexed citations
5.
Chen, Chaofeng, Shangchen Zhou, Liang Liao, et al.. (2024). Iterative Token Evaluation and Refinement for Real-World Super-resolution. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1010–1018. 1 indexed citations
6.
Li, Chongyi, et al.. (2024). Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(11). 7041–7055. 8 indexed citations
7.
Wang, Jianyi, Zongsheng Yue, Shangchen Zhou, Kelvin C. K. Chan, & Chen Change Loy. (2024). Exploiting Diffusion Prior for Real-World Image Super-Resolution. International Journal of Computer Vision. 132(12). 5929–5949. 130 indexed citations breakdown →
8.
Zhou, Shangchen, et al.. (2024). Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution. 2535–2545. 13 indexed citations
9.
Zhou, Shangchen, et al.. (2024). Learning Inclusion Matching for Animation Paint Bucket Colorization. 25544–25553. 3 indexed citations
10.
Si, Chenyang, Shangchen Zhou, Jiangning Zhang, et al.. (2024). Towards Language-Driven Video Inpainting via Multimodal Large Language Models. 12501–12511. 7 indexed citations
11.
Li, Xiaoming, et al.. (2024). MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results. 1144–1152. 1 indexed citations
12.
Zhou, Shangchen, et al.. (2023). ProPainter: Improving Propagation and Transformer for Video Inpainting. 10443–10452. 32 indexed citations
13.
Li, Xiaoming, Shiguang Zhang, Shangchen Zhou, Lei Zhang, & Wangmeng Zuo. (2022). Learning Dual Memory Dictionaries for Blind Face Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1–13. 23 indexed citations
14.
Chan, Kelvin C. K., Shangchen Zhou, Xiangyu Xu, & Chen Change Loy. (2022). Investigating Tradeoffs in Real-World Video Super-Resolution. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5952–5961. 55 indexed citations
15.
Chan, Kelvin C. K., Shangchen Zhou, Xiangyu Xu, & Chen Change Loy. (2022). BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5962–5971. 278 indexed citations breakdown →
16.
Feng, Ruicheng, et al.. (2022). Flare7K: A Phenomenological Nighttime Flare Removal Dataset. 3926–3937.
17.
Xie, Haozhe, Hongxun Yao, Shangchen Zhou, et al.. (2021). Toward 3D object reconstruction from stereo images. Neurocomputing. 463. 444–453. 11 indexed citations
18.
Zhou, Shangchen, Jiawei Zhang, Wangmeng Zuo, & Chen Change Loy. (2020). Cross-Scale Internal Graph Neural Network for Image Super-Resolution. arXiv (Cornell University). 33. 3499–3509. 3 indexed citations
19.
Zhou, Shangchen, Jiawei Zhang, Wangmeng Zuo, et al.. (2019). DAVANet: Stereo Deblurring With View Aggregation. 10988–10997. 67 indexed citations
20.
Wang, Jingyan, et al.. (2017). Landcover Classification Using Deep Fully Convolutional Neural Networks. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

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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