Deyu Meng

32.0k total citations · 16 hit papers
318 papers, 20.2k citations indexed

About

Deyu Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Deyu Meng has authored 318 papers receiving a total of 20.2k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Computer Vision and Pattern Recognition, 79 papers in Artificial Intelligence and 73 papers in Media Technology. Recurrent topics in Deyu Meng's work include Image and Signal Denoising Methods (72 papers), Sparse and Compressive Sensing Techniques (47 papers) and Advanced Image Fusion Techniques (47 papers). Deyu Meng is often cited by papers focused on Image and Signal Denoising Methods (72 papers), Sparse and Compressive Sensing Techniques (47 papers) and Advanced Image Fusion Techniques (47 papers). Deyu Meng collaborates with scholars based in China, Macao and United States. Deyu Meng's co-authors include Wangmeng Zuo, Lei Zhang, Kai Zhang, Yunjin Chen, Qian Zhao, Zongben Xu, Qi Xie, Chenqiang Gao, Alexander G. Hauptmann and Yi Yang and has published in prestigious journals such as Nature Biotechnology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Methods.

In The Last Decade

Deyu Meng

299 papers receiving 19.8k citations

Hit Papers

Beyond a Gaussian Denoise... 2013 2026 2017 2021 2017 2013 2019 2016 2016 1000 2.0k 3.0k 4.0k 5.0k
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. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
    2017 5.4k citations Wangmeng Zuo, Deyu Meng et al. profile →
  2. Infrared Patch-Image Model for Small Target Detection in a Single Image
    2013 887 citations Chenqiang Gao, Deyu Meng et al. profile →
  3. Progressive Image Deraining Networks: A Better and Simpler Baseline
    2019 616 citations Wangmeng Zuo, Deyu Meng et al. profile →
  4. Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision
    2016 603 citations Deyu Meng, Wangmeng Zuo et al. profile →
  5. Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework
    2016 432 citations Deyu Meng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  6. Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition
    2017 343 citations Yao Wang, Jiangjun Peng et al. profile →
  7. Semi-Supervised Transfer Learning for Image Rain Removal
    2019 311 citations Deyu Meng, Qian Zhao et al. profile →
  8. Self-Paced Curriculum Learning
    2015 309 citations Deyu Meng, Qian Zhao et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  9. A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding
    2013 294 citations Wangmeng Zuo, Deyu Meng et al. profile →
  10. Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising
    2014 290 citations Deyu Meng, Chenqiang Gao et al. profile →
  11. A Model-Driven Deep Neural Network for Single Image Rain Removal
    2020 290 citations Qian Zhao, Deyu Meng et al. profile →
  12. Hyperspectral Image Classification With Convolutional Neural Network and Active Learning
    2020 282 citations Xiangyong Cao, Deyu Meng et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  13. DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
    2023 163 citations Deyu Meng et al. profile →
  14. Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion
    2023 156 citations Deyu Meng et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  15. Guaranteed Tensor Recovery Fused Low-rankness and Smoothness
    2023 79 citations Hailin Wang, Jiangjun Peng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  16. A New Learning Paradigm for Foundation Model-Based Remote-Sensing Change Detection
    2024 59 citations Xiangyong Cao, Deyu Meng et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Deyu Meng 13.2k 7.1k 3.1k 2.7k 1.9k 318 20.2k
Jiashi Feng 18.0k 1.4× 3.1k 0.4× 7.7k 2.5× 1.8k 0.7× 1.6k 0.8× 278 26.0k
Jian Yang 20.3k 1.5× 6.7k 0.9× 6.1k 2.0× 3.5k 1.3× 1.8k 0.9× 647 28.4k
Xinbo Gao 19.7k 1.5× 6.0k 0.8× 5.4k 1.7× 1.0k 0.4× 1.8k 1.0× 1.0k 26.8k
John Wright 14.9k 1.1× 5.6k 0.8× 3.3k 1.1× 8.2k 3.1× 1.4k 0.7× 95 22.5k
Wangmeng Zuo 25.4k 1.9× 10.0k 1.4× 5.0k 1.6× 3.0k 1.1× 2.0k 1.0× 400 35.1k
Stephen Lin 18.6k 1.4× 5.3k 0.8× 6.3k 2.0× 1.3k 0.5× 2.0k 1.0× 118 27.7k
Jian Sun 23.6k 1.8× 5.8k 0.8× 3.4k 1.1× 3.0k 1.1× 2.7k 1.4× 186 31.1k
Shutao Li 12.7k 1.0× 18.2k 2.6× 3.6k 1.2× 1.1k 0.4× 2.0k 1.0× 430 26.6k
Yi Ma 15.6k 1.2× 4.4k 0.6× 4.4k 1.4× 8.3k 3.1× 2.8k 1.5× 254 31.3k
Zhouchen Lin 10.1k 0.8× 3.6k 0.5× 3.8k 1.2× 5.0k 1.9× 662 0.3× 253 14.5k

Countries citing papers authored by Deyu Meng

Since Specialization
Citations

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

Fields of papers citing papers by Deyu Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deyu Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Deyu Meng. A scholar is included among the top collaborators of Deyu Meng 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 Deyu Meng. Deyu Meng 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.
Tan, Feng, et al.. (2025). DS-Net: A model driven network framework for lesion segmentation on fundus image. Knowledge-Based Systems. 315. 113242–113242. 1 indexed citations
2.
Hou, Junhui, et al.. (2025). Enhancing Underwater Imaging With 4-D Light Fields: Dataset and Method. IEEE Journal of Selected Topics in Signal Processing. 19(8). 1617–1631. 1 indexed citations
3.
Gao, Chenqiang, et al.. (2025). Towards Student Actions in Classroom Scenes: New Dataset and Baseline. IEEE Transactions on Multimedia. 27. 6831–6844. 1 indexed citations
4.
Cao, Xiangyong, et al.. (2024). LatentHSI: Restore hyperspectral images in a latent space. Information Fusion. 117. 102848–102848.
5.
Shou, Yuntao, Xiangyong Cao, Huan Liu, & Deyu Meng. (2024). Masked contrastive graph representation learning for age estimation. Pattern Recognition. 158. 110974–110974. 12 indexed citations
6.
Meng, Deyu, et al.. (2024). Enhanced predicting genu valgum through integrated feature extraction: Utilizing ChatGPT with body landmarks. Biomedical Signal Processing and Control. 97. 106676–106676. 1 indexed citations
7.
Meng, Deyu, et al.. (2024). Adversarially trained RTMpose: A high-performance, non-contact method for detecting Genu valgum in adolescents. Computers in Biology and Medicine. 183. 109214–109214. 1 indexed citations
8.
Cao, Xiangyong, et al.. (2024). Unsupervised hyperspectral pansharpening via low-rank diffusion model. Information Fusion. 107. 102325–102325. 34 indexed citations
9.
Lin, Hui, Xiaopeng Hong, Zhiheng Ma, Yaowei Wang, & Deyu Meng. (2024). Multidimensional Measure Matching for Crowd Counting. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9112–9126. 1 indexed citations
10.
Shu, Hao, Hailin Wang, Jiangjun Peng, & Deyu Meng. (2024). Low-Rank Tensor Completion With 3-D Spatiotemporal Transform for Traffic Data Imputation. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18673–18687. 8 indexed citations
11.
Shu, Jun, et al.. (2024). Simulating learning methodology (SLeM): an approach to machine learning automation. National Science Review. 11(8). nwae277–nwae277. 1 indexed citations
12.
Yue, Zongsheng, Hongwei Yong, Qian Zhao, et al.. (2024). Deep Variational Network Toward Blind Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(11). 7011–7026. 8 indexed citations
13.
Hou, Jingyao, et al.. (2023). Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8879–8887. 11 indexed citations
14.
Yang, Zhiwei, et al.. (2023). MESPool: Molecular Edge Shrinkage Pooling for hierarchical molecular representation learning and property prediction. Briefings in Bioinformatics. 25(1). 4 indexed citations
15.
Zhao, Qian, et al.. (2023). Stein variational gradient descent with learned direction. Information Sciences. 637. 118975–118975. 4 indexed citations
16.
Shao, Mingwen, Chao Wang, Wangmeng Zuo, & Deyu Meng. (2022). Efficient Pyramidal GAN for Versatile Missing Data Reconstruction in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 10 indexed citations
17.
Luo, Xin, Hao Wu, Zhi Wang, Jianjun Wang, & Deyu Meng. (2021). A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12). 9756–9773. 143 indexed citations
18.
Yong, Hongwei, Deyu Meng, Wangmeng Zuo, & Lei Zhang. (2017). Robust Online Matrix Factorization for Dynamic Background Subtraction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(7). 1726–1740. 143 indexed citations
19.
Wang, Yao, et al.. (2017). Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization. IEEE Geoscience and Remote Sensing Letters. 14(12). 2457–2461. 74 indexed citations
20.
Cao, Wenfei, Yao Wang, Jian Sun, et al.. (2016). Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 84 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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