Yuhui Quan

3.5k total citations · 1 hit paper
88 papers, 2.1k citations indexed

About

Yuhui Quan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Yuhui Quan has authored 88 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Vision and Pattern Recognition, 29 papers in Media Technology and 19 papers in Computational Mechanics. Recurrent topics in Yuhui Quan's work include Advanced Image Processing Techniques (33 papers), Image and Signal Denoising Methods (29 papers) and Image Enhancement Techniques (17 papers). Yuhui Quan is often cited by papers focused on Advanced Image Processing Techniques (33 papers), Image and Signal Denoising Methods (29 papers) and Image Enhancement Techniques (17 papers). Yuhui Quan collaborates with scholars based in China, Singapore and France. Yuhui Quan's co-authors include Hui Ji, Yong Xu, Tongyao Pang, Mingqin Chen, Yixin Chen, Zuowei Shen, Chenglong Bao, Haibin Ling, Yuping Sun and Yan Huang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Yuhui Quan

84 papers receiving 2.0k 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.

Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image

2020 250 citations Yuhui Quan, Tongyao Pang et al. profile →

Peers

Yuhui Quan

CVPR

MT

CM

AI

BE

Florian Luisier Switzerland

Christian J. Schuler Germany

Stanley H. Chan United States

Dmitry Ulyanov Russia

Chunwei Tian China

Tomáš Suk Czechia

Xiaodong Cun China

Matan Protter Israel

Coloma Ballester Spain

Xiaoyan Sun China

Florian Luisier Switzerland

Yuhui Quan

1.3k ×0.8

CVPR

729 ×1.0

MT

275 ×1.0

CM

157 ×0.7

AI

227 ×1.2

BE

Citations per year, relative to Yuhui Quan Yuhui Quan (= 1×) peers Florian Luisier

Countries citing papers authored by Yuhui Quan

Since Specialization

Citations

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

Fields of papers citing papers by Yuhui Quan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhui Quan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Quan, Yuhui, Yingna Su, Yang Guo, et al.. (2025). Astronomical image denoising by self-supervised deep learning and restoration processes. Nature Astronomy. 9(4). 608–615. 2 indexed citations

2.

Quan, Yuhui, et al.. (2025). Enhancing CNN-Based Blind Image Quality Assessment via Deep Cross-Layer Pattern Encoding. IEEE Transactions on Multimedia. 27. 9712–9722.

3.

Quan, Yuhui, Tianxiang Zheng, Zhiyuan Ma, & Hui Ji. (2025). Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling. 7502–7512.

4.

Quan, Yuhui, et al.. (2025). Fingerprinting Denoising Diffusion Probabilistic Models. 28811–28820. 1 indexed citations

5.

Quan, Yuhui, et al.. (2025). Nighttime image dehazing via a physics-aware dynamic neural model with progressive contrastive regularization. Pattern Recognition. 169. 111863–111863. 1 indexed citations

6.

Quan, Yuhui, et al.. (2025). A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts. 12731–12741. 1 indexed citations

7.

Quan, Yuhui, et al.. (2024). Enhanced deep unrolling networks for snapshot compressive hyperspectral imaging. Neural Networks. 174. 106250–106250. 5 indexed citations

8.

Quan, Yuhui, et al.. (2024). Enhancing Underwater Images via Asymmetric Multi-Scale Invertible Networks. 6182–6191. 1 indexed citations

9.

Quan, Yuhui, et al.. (2024). Dual-Path Deep Unsupervised Learning for Multi-Focus Image Fusion. IEEE Transactions on Multimedia. 27. 1165–1176. 1 indexed citations

10.

Huang, Yan, Xinchang Lu, Yuhui Quan, Yong Xu, & Hui Ji. (2024). Image shadow removal via multi-scale deep Retinex decomposition. Pattern Recognition. 159. 111126–111126. 2 indexed citations

11.

Deng, Bailin, et al.. (2024). 3D Snapshot: Invertible Embedding of 3D Neural Representations in a Single Image. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11524–11531. 1 indexed citations

12.

Quan, Yuhui, et al.. (2023). Enhancing texture representation with deep tracing pattern encoding. Pattern Recognition. 146. 109959–109959. 10 indexed citations

13.

Quan, Yuhui, Xiaoheng Tan, Yan Huang, Yong Xu, & Hui Ji. (2023). Image Desnowing via Deep Invertible Separation. IEEE Transactions on Circuits and Systems for Video Technology. 33(7). 3133–3144. 28 indexed citations

14.

Xu, Yong, et al.. (2023). Wavelet analysis model inspired convolutional neural networks for image denoising. Applied Mathematical Modelling. 125. 798–811. 3 indexed citations

15.

Quan, Yuhui, et al.. (2023). Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2128–2136. 2 indexed citations

16.

Xu, Yong, et al.. (2021). Encoding Spatial Distribution of Convolutional Features for Texture Representation. Neural Information Processing Systems. 34. 14 indexed citations

17.

Quan, Yuhui, et al.. (2020). Collaborative Deep Learning for Super-Resolving Blurry Text Images. IEEE Transactions on Computational Imaging. 6. 778–790. 15 indexed citations

18.

Huang, Yan, et al.. (2019). Removing Reflection From a Single Image With Ghosting Effect. IEEE Transactions on Computational Imaging. 6. 34–45. 14 indexed citations

19.

Quan, Yuhui, et al.. (2019). Weakly-Supervised Sparse Coding With Geometric Prior for Interactive Texture Segmentation. IEEE Signal Processing Letters. 27. 116–120. 5 indexed citations

20.

Xu, Yong, Yuhui Quan, Haibin Ling, & Hui Ji. (2011). Dynamic texture classification using dynamic fractal analysis. National University of Singapore. 1219–1226. 89 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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