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, Yunjin Chen, Kai Zhang, 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

5 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.

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

2017 5.4k citations Wangmeng Zuo, Deyu Meng et al. profile →
Infrared Patch-Image Model for Small Target Detection in a Single Image

2013 887 citations Chenqiang Gao, Deyu Meng et al. profile →
Progressive Image Deraining Networks: A Better and Simpler Baseline

2019 616 citations Wangmeng Zuo, Deyu Meng et al. profile →
Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

2016 603 citations Deyu Meng, Wangmeng Zuo et al. profile →
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 →
Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition

2017 343 citations Yao Wang, Jiangjun Peng et al. profile →
Semi-Supervised Transfer Learning for Image Rain Removal

2019 311 citations Deyu Meng, Qian Zhao et al. profile →
Self-Paced Curriculum Learning

2015 309 citations Deyu Meng, Qian Zhao et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding

2013 294 citations Wangmeng Zuo, Deyu Meng et al. profile →
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising

2014 290 citations Deyu Meng, Zongben Xu et al. profile →
A Model-Driven Deep Neural Network for Single Image Rain Removal

2020 290 citations Qian Zhao, Deyu Meng et al. profile →
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning

2020 282 citations Xiangyong Cao, Zongben Xu et al. IEEE Transactions on Geoscience and Remote Sensing profile →
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

2023 163 citations Deyu Meng et al. profile →
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 →
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 →
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 →

Peers

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

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

20 of 20 papers shown

#	Work	Indexed citations
1	DS-Net: A model driven network framework for lesion segmentation on fundus image 2025 ·Knowledge-Based Systems ·Feng Tan, (unknown), (unknown), (unknown), (unknown), Deyu Meng	1
2	Unsupervised hyperspectral pansharpening via low-rank diffusion model 2024 ·Information Fusion ·(unknown), Xiangyong Cao, (unknown), (unknown), Zongsheng Yue, Deyu Meng	34
3	LatentHSI: Restore hyperspectral images in a latent space 2024 ·Information Fusion ·Xiangyong Cao, (unknown), (unknown), Deyu Meng	0
4	Masked contrastive graph representation learning for age estimation 2024 ·Pattern Recognition ·Yuntao Shou, Xiangyong Cao, Huan Liu, Deyu Meng	12
5	Enhanced predicting genu valgum through integrated feature extraction: Utilizing ChatGPT with body landmarks 2024 ·Biomedical Signal Processing and Control ·Deyu Meng, (unknown), (unknown), (unknown), (unknown), Guang Yang, Ziheng Wang	1
6	Adversarially trained RTMpose: A high-performance, non-contact method for detecting Genu valgum in adolescents 2024 ·Computers in Biology and Medicine ·(unknown), (unknown), Deyu Meng, (unknown), (unknown), Guang Yang, (unknown)	1
7	Deep Variational Network Toward Blind Image Restoration 2024 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng, Kenneth K. Wong	8
8	Multidimensional Measure Matching for Crowd Counting 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·Hui Lin, Xiaopeng Hong, Zhiheng Ma, Yaowei Wang, Deyu Meng	1
9	Low-Rank Tensor Completion With 3-D Spatiotemporal Transform for Traffic Data Imputation 2024 ·IEEE Transactions on Intelligent Transportation Systems ·Hao Shu, Hailin Wang, Jiangjun Peng, Deyu Meng	8
10	Simulating learning methodology (SLeM): an approach to machine learning automation 2024 ·National Science Review ·(unknown), Jun Shu, Deyu Meng	1
11	Stein variational gradient descent with learned direction 2023 ·Information Sciences ·Qian Zhao, (unknown), (unknown), Deyu Meng	4
12	Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang	11
13	MESPool: Molecular Edge Shrinkage Pooling for hierarchical molecular representation learning and property prediction 2023 ·Briefings in Bioinformatics ·(unknown), Zhiwei Yang, (unknown), Deyu Meng, Jiangang Long	4
14	Local Patch Network With Global Attention for Infrared Small Target Detection 2022 ·IEEE Transactions on Aerospace and Electronic Systems ·(unknown), Chenqiang Gao, Fangcen Liu, Yue Zhao, Yuxi Zhou, Deyu Meng, Wangmeng Zuo	62
15	Immune checkpoint inhibitors-related myocarditis in patients with cancer: an analysis of international spontaneous reporting systems 2021 ·BMC Cancer ·(unknown), (unknown), Deyu Meng, Kang Li, Yong Zhang	23
16	A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation 2021 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Xin Luo, Hao Wu, Zhi Wang, Jianjun Wang, Deyu Meng	143
17	Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing 2020 ·IEEE Transactions on Geoscience and Remote Sensing ·(unknown), Yao Wang, Xi-Le Zhao, Jonathan Cheung-Wai Chan, Zongben Xu, Deyu Meng	39
18	Scaled Simplex Representation for Subspace Clustering 2019 ·IEEE Transactions on Cybernetics ·Jun Xu, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang	66
19	Robust Online Matrix Factorization for Dynamic Background Subtraction 2017 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Hongwei Yong, Deyu Meng, Wangmeng Zuo, Lei Zhang	143
20	Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements 2016 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu	84

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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