Shujun Fu

985 total citations · 1 hit paper
74 papers, 672 citations indexed

About

Shujun Fu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Shujun Fu has authored 74 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 28 papers in Media Technology and 15 papers in Biomedical Engineering. Recurrent topics in Shujun Fu's work include Image and Signal Denoising Methods (39 papers), Advanced Image Processing Techniques (24 papers) and Advanced Image Fusion Techniques (16 papers). Shujun Fu is often cited by papers focused on Image and Signal Denoising Methods (39 papers), Advanced Image Processing Techniques (24 papers) and Advanced Image Fusion Techniques (16 papers). Shujun Fu collaborates with scholars based in China, United States and Singapore. Shujun Fu's co-authors include Caiming Zhang, Bo-Wen Lin, Hongli Lv, Hao Gao, Wenqia Wang, Yuliang Li, Yu-Ting Lin, Qiuqi Ruan, K Langen and Tian Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Optics Letters.

In The Last Decade

Shujun Fu

66 papers receiving 650 citations

Hit Papers

Remote sensing image dehazing using a wavelet-based gener... 2025 2026 2025 5 10 15
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. Remote sensing image dehazing using a wavelet-based generative adversarial networks
    2025 16 citations Shujun Fu, Dejun Liu et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shujun Fu China 14 373 193 171 140 126 74 672
Yicheng Wu China 12 392 1.1× 86 0.4× 128 0.7× 325 2.3× 50 0.4× 32 775
Qin‐Sheng Chen United States 8 346 0.9× 106 0.5× 62 0.4× 185 1.3× 175 1.4× 15 665
Christine Toumoulin France 16 584 1.6× 72 0.4× 357 2.1× 529 3.8× 32 0.3× 67 984
Andrea Polesel Italy 6 472 1.3× 224 1.2× 46 0.3× 175 1.3× 135 1.1× 8 724
Yongyi Shi United States 5 481 1.3× 114 0.6× 566 3.3× 780 5.6× 80 0.6× 22 1.1k
Jong Beom South Korea 17 747 2.0× 197 1.0× 287 1.7× 336 2.4× 69 0.5× 124 1.2k
Ling Sun China 5 475 1.3× 112 0.6× 529 3.1× 738 5.3× 76 0.6× 16 1.1k
Zexin Lu China 13 212 0.6× 124 0.6× 294 1.7× 312 2.2× 21 0.2× 22 617
Qianjing Feng China 7 282 0.8× 43 0.2× 392 2.3× 526 3.8× 30 0.2× 11 729
George J. Grevera United States 12 447 1.2× 42 0.2× 87 0.5× 163 1.2× 22 0.2× 39 655

Countries citing papers authored by Shujun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Shujun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shujun Fu. A scholar is included among the top collaborators of Shujun Fu 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 Shujun Fu. Shujun Fu 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.
Fu, Shujun, et al.. (2025). Remote sensing image dehazing using a wavelet-based generative adversarial networks. Scientific Reports. 15(1). 3634–3634. 16 indexed citations breakdown →
2.
Fu, Shujun, et al.. (2025). Attention-Guided Asymmetric Multiscale Polyp Segmentation Network. IEEE Transactions on Instrumentation and Measurement. 74. 1–15. 2 indexed citations
3.
Hou, Xinguo, et al.. (2025). KMoCoL: k -Positive Momentum Contrastive Learning for Imbalanced Diabetic Retinopathy Grading. IEEE Transactions on Instrumentation and Measurement. 74. 1–12.
4.
Wang, Hong, et al.. (2025). Imaging-aware extreme interaction network for choroidal neovascularization segmentation in OCT images. Optics Communications. 583. 131615–131615. 1 indexed citations
5.
Lin, Bo-Wen, Yuliang Li, Bin Liu, et al.. (2024). Cardinality‐constrained plan‐quality and delivery‐time optimization method for proton therapy. Medical Physics. 51(7). 4567–4580. 2 indexed citations
6.
Wang, Jianhang, Tianyu Ma, Luhong Jin, et al.. (2024). Prior Visual-Guided Self-Supervised Learning Enables Color Vignetting Correction for High-Throughput Microscopic Imaging. IEEE Journal of Biomedical and Health Informatics. 29(4). 2669–2682.
7.
Fu, Shujun, et al.. (2023). Windowed variation kernel Wiener filter model for image denoising with edge preservation. Optics & Laser Technology. 167. 109688–109688. 8 indexed citations
8.
Wei, Wenyu, et al.. (2023). OCT image denoising algorithm based on discrete wavelet transform and spatial domain feature fusion. Journal of Modern Optics. 70(2). 124–141. 4 indexed citations
9.
Fu, Shujun, et al.. (2023). Image inpainting using non-convex low rank decomposition and multidirectional search. Applied Mathematics and Computation. 452. 128048–128048. 1 indexed citations
10.
Lin, Bo-Wen, Shujun Fu, Yuting Lin, et al.. (2021). An adaptive spot placement method on Cartesian grid for pencil beam scanning proton therapy. Physics in Medicine and Biology. 66(23). 235012–235012. 11 indexed citations
11.
Lin, Yu-Ting, Bo-Wen Lin, Shujun Fu, et al.. (2021). SDDRO-joint: simultaneous dose and dose rate optimization with the joint use of transmission beams and Bragg peaks for FLASH proton therapy. Physics in Medicine and Biology. 66(12). 125011–125011. 37 indexed citations
12.
Wang, Shumei, et al.. (2020). An Efficient Collaborative Filtering Method for Image Noise and Artifact Removal. IEEE Access. 8. 124158–124171. 5 indexed citations
13.
Fu, Shujun, et al.. (2020). Image smoothing using regularized entropy minimization and self-similarity for the quantitative analysis of drug diffusion. Journal of Cancer Research and Therapeutics. 16(5). 1171–1171. 1 indexed citations
14.
Fu, Shujun, et al.. (2019). Speckle reduction based on fractional-order filtering and boosted singular value shrinkage for optical coherence tomography image. Biomedical Signal Processing and Control. 52. 281–292. 10 indexed citations
15.
Fu, Shujun, et al.. (2018). Feature-oriented singular value shrinkage for optical coherence tomography image. Optics and Lasers in Engineering. 114. 111–120. 15 indexed citations
16.
Zhou, Weifeng, et al.. (2016). Adaptive tight frame based multiplicative noise removal. SpringerPlus. 5(1). 122–122. 4 indexed citations
17.
Fu, Shujun & Caiming Zhang. (2012). Fringe pattern denoising via image decomposition. Optics Letters. 37(3). 422–422. 30 indexed citations
18.
Fu, Shujun, Qiuqi Ruan, Wenqia Wang, & Jingnian Chen. (2007). Combining Bidirectional Flow Equation and Fuzzy Sets for Adaptive Image Sharpening. Journal of information science and engineering. 23(5). 1565–1578. 2 indexed citations
19.
Fu, Shujun, Qiuqi Ruan, Wenqia Wang, & Jingnian Chen. (2006). Feature-oriented fuzzy bidirectional flow for image enhancement. Chinese Optics Letters. 4(3). 155–157. 2 indexed citations
20.
Fu, Shujun & Qiuqi Ruan. (2005). An anisotropic diffusion equation for image magnification and noise removal. 2. 1033–1036. 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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