Shuzhou Yang

1.0k total citations · 4 hit papers
9 papers, 649 citations indexed

About

Shuzhou Yang is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Artificial Intelligence. According to data from OpenAlex, Shuzhou Yang has authored 9 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 1 paper in Safety, Risk, Reliability and Quality and 1 paper in Artificial Intelligence. Recurrent topics in Shuzhou Yang's work include Image Enhancement Techniques (7 papers), Advanced Image Processing Techniques (6 papers) and Image and Signal Denoising Methods (3 papers). Shuzhou Yang is often cited by papers focused on Image Enhancement Techniques (7 papers), Advanced Image Processing Techniques (6 papers) and Image and Signal Denoising Methods (3 papers). Shuzhou Yang collaborates with scholars based in China, United States and Hong Kong. Shuzhou Yang's co-authors include Risheng Liu, Xin Fan, Zhiying Jiang, Zhuoxiao Li, Zihan Li, Jian Zhang, Yanmin Wu, Qingde Li, Yuan‐Ting Zhang and Qingqi Hong and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Shuzhou Yang

9 papers receiving 640 citations

Hit Papers

align trajectories

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.

Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond

2022 234 citations Risheng Liu, Zhiying Jiang et al. IEEE Transactions on Image Processing profile →
Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement

2022 197 citations Zhiying Jiang, Zhuoxiao Li et al. IEEE Transactions on Circuits and Systems for Video Technology profile →
Implicit Neural Representation for Cooperative Low-light Image Enhancement

2023 111 citations Shuzhou Yang, Yanmin Wu et al. profile →
ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation

2024 53 citations Zihan Li, Shuzhou Yang et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuzhou Yang China	8	584	197	39	38	31	9	649
Zhiying Jiang China	11	838 1.4×	462 2.3×	42 1.1×	53 1.4×	31 1.0×	41	992
Ling-Hao Han China	7	530 0.9×	177 0.9×	21 0.5×	19 0.5×	54 1.7×	10	586
Kunqian Li China	13	872 1.5×	312 1.6×	72 1.8×	22 0.6×	25 0.8×	41	958
Minjun Hou China	5	719 1.2×	280 1.4×	60 1.5×	27 0.7×	11 0.4×	6	769
Kashif Iqbal United Kingdom	5	631 1.1×	277 1.4×	25 0.6×	30 0.8×	16 0.5×	9	681
Jieyu Yuan China	10	356 0.6×	144 0.7×	50 1.3×	21 0.6×	10 0.3×	17	458
Xin Luan China	7	255 0.4×	107 0.5×	27 0.7×	15 0.4×	11 0.4×	36	311
Fangxun Bao China	13	422 0.7×	220 1.1×	6 0.2×	26 0.7×	25 0.8×	24	502
Xiaojie Chu United States	5	399 0.7×	164 0.8×	4 0.1×	28 0.7×	39 1.3×	7	493

Countries citing papers authored by Shuzhou Yang

Since Specialization

Citations

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

Fields of papers citing papers by Shuzhou Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuzhou Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuzhou Yang. A scholar is included among the top collaborators of Shuzhou Yang 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 Shuzhou Yang. Shuzhou Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Jiang, Zhiying, et al.. (2024). DRNet: Learning a dynamic recursion network for chaotic rain streak removal. Pattern Recognition. 158. 111004–111004. 5 indexed citations

2.

Li, Zihan, Shuzhou Yang, Qingde Li, et al.. (2024). ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation. IEEE Transactions on Medical Imaging. 43(6). 2254–2265. 53 indexed citations breakdown →

3.

Li, Haijie, Yanmin Wu, Qiankun Gao, et al.. (2024). Mirror-3DGS: Incorporating Mirror Reflections into 3D Gaussian Splatting. 1–5. 7 indexed citations

4.

Wu, Xiao-Ming, et al.. (2024). Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model. 25445–25455. 24 indexed citations

5.

Yang, Shuzhou, et al.. (2024). DiffLLE: Diffusion-based Domain Calibration for Weak Supervised Low-light Image Enhancement. International Journal of Computer Vision. 133(5). 2527–2546. 8 indexed citations

6.

Yang, Shuzhou, et al.. (2023). Implicit Neural Representation for Cooperative Low-light Image Enhancement. 12872–12881. 111 indexed citations breakdown →

7.

Jiang, Zhiying, Shuzhou Yang, Jinyuan Liu, Xin Fan, & Risheng Liu. (2023). Multiscale Synergism Ensemble Progressive and Contrastive Investigation for Image Restoration. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 10 indexed citations

8.

Jiang, Zhiying, Zhuoxiao Li, Shuzhou Yang, Xin Fan, & Risheng Liu. (2022). Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement. IEEE Transactions on Circuits and Systems for Video Technology. 32(10). 6584–6598. 197 indexed citations breakdown →

9.

Liu, Risheng, Zhiying Jiang, Shuzhou Yang, & Xin Fan. (2022). Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond. IEEE Transactions on Image Processing. 31. 4922–4936. 234 indexed citations breakdown →

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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