Weisheng Dong

11.2k total citations · 14 hit papers
159 papers, 8.1k citations indexed

About

Weisheng Dong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Weisheng Dong has authored 159 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Computer Vision and Pattern Recognition, 61 papers in Media Technology and 30 papers in Computational Mechanics. Recurrent topics in Weisheng Dong's work include Image and Signal Denoising Methods (65 papers), Advanced Image Processing Techniques (65 papers) and Advanced Image Fusion Techniques (41 papers). Weisheng Dong is often cited by papers focused on Image and Signal Denoising Methods (65 papers), Advanced Image Processing Techniques (65 papers) and Advanced Image Fusion Techniques (41 papers). Weisheng Dong collaborates with scholars based in China, United States and Hong Kong. Weisheng Dong's co-authors include Guangming Shi, Xin Li, Lei Zhang, Jinjian Wu, Leida Li, Yi Ma, Fangfang Wu, David Zhang, Feng Huang and Weisi Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Weisheng Dong

143 papers receiving 7.8k citations

Hit Papers

Nonlocally Centralized Sparse Representation for Image Re... 2009 2026 2014 2020 2012 2013 2012 2009 2014 250 500 750 1000
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. Nonlocally Centralized Sparse Representation for Image Restoration
    2012 1.1k citations Weisheng Dong, Guangming Shi et al. IEEE Transactions on Image Processing profile →
  2. Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
    2013 747 citations Weisheng Dong, Guangming Shi et al. profile →
  3. Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach
    2012 513 citations Weisheng Dong, Guangming Shi et al. IEEE Transactions on Image Processing profile →
  4. Two-stage image denoising by principal component analysis with local pixel grouping
    2009 475 citations Weisheng Dong, Guangming Shi et al. profile →
  5. Compressive Sensing via Nonlocal Low-Rank Regularization
    2014 445 citations Weisheng Dong, Guangming Shi et al. IEEE Transactions on Image Processing profile →
  6. Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation
    2016 431 citations Weisheng Dong, Guangming Shi et al. IEEE Transactions on Image Processing profile →
  7. Denoising Prior Driven Deep Neural Network for Image Restoration
    2018 364 citations Weisheng Dong, Guangming Shi et al. profile →
  8. Sparsity-based image denoising via dictionary learning and structural clustering
    2011 340 citations Weisheng Dong, Xin Li et al. profile →
  9. Sparse Representation Based Image Interpolation With Nonlocal Autoregressive Modeling
    2013 276 citations Weisheng Dong, Guangming Shi et al. IEEE Transactions on Image Processing profile →
  10. MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment
    2020 254 citations Leida Li, Jinjian Wu et al. profile →
  11. Pixel-Level Noise Mining for Weakly Supervised Salient Object Detection
    2025 23 citations Mingtao Feng, Weisheng Dong et al. IEEE Transactions on Neural Networks and Learning Systems profile →
  12. Hyperrectangle Embedding for Debiased 3D Scene Graph Prediction From RGB Sequences
    2025 20 citations Mingtao Feng, Weisheng Dong et al. profile →
  13. S4DL: Shift-Sensitive Spatial–Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation
    2025 20 citations Jie Feng, Tianshu Zhang et al. IEEE Transactions on Neural Networks and Learning Systems profile →
  14. History-Enhanced 3D Scene Graph Reasoning From RGB-D Sequences
    2025 16 citations Mingtao Feng, Weisheng Dong et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weisheng Dong China 34 6.8k 4.1k 2.0k 1.0k 375 159 8.1k
Shuhang Gu China 26 5.9k 0.9× 3.1k 0.8× 1.3k 0.6× 609 0.6× 299 0.8× 54 6.8k
Kostadin Dabov Finland 8 6.6k 1.0× 3.9k 1.0× 1.4k 0.7× 1.2k 1.2× 797 2.1× 12 7.9k
Xin Li United States 31 4.9k 0.7× 2.4k 0.6× 1.4k 0.7× 710 0.7× 264 0.7× 221 6.3k
Xiangchu Feng China 25 6.7k 1.0× 3.2k 0.8× 2.3k 1.2× 720 0.7× 318 0.8× 158 8.3k
Anat Levin Israel 33 7.0k 1.0× 3.5k 0.8× 628 0.3× 549 0.5× 203 0.5× 84 8.4k
Tieyong Zeng Hong Kong 37 4.2k 0.6× 1.4k 0.4× 1.0k 0.5× 332 0.3× 351 0.9× 226 5.1k
Ren Ng United States 27 5.5k 0.8× 1.4k 0.3× 1.6k 0.8× 615 0.6× 225 0.6× 45 7.7k
Thierry Blu Switzerland 30 2.9k 0.4× 1.1k 0.3× 1.0k 0.5× 607 0.6× 481 1.3× 83 4.7k
Jian Zhang China 35 2.8k 0.4× 683 0.2× 1.5k 0.8× 1.1k 1.1× 446 1.2× 204 4.5k
Michal Irani Israel 32 7.9k 1.2× 2.8k 0.7× 492 0.2× 313 0.3× 328 0.9× 50 8.8k

Countries citing papers authored by Weisheng Dong

Since Specialization
Citations

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

Fields of papers citing papers by Weisheng Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weisheng Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Weisheng Dong. A scholar is included among the top collaborators of Weisheng Dong 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 Weisheng Dong. Weisheng Dong 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.
Feng, Mingtao, Weisheng Dong, Jianqiao Luo, et al.. (2025). Locally Aware Visual State Space for Small Defect Segmentation in Complex Component Images. IEEE Transactions on Industrial Informatics. 21(8). 5965–5976.
2.
Wu, Jinjian, et al.. (2025). Scene-Modulated High-Order Statistical Representation Learning for No-Reference Super-Resolution Image Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 6589–6601.
3.
Wu, Fangfang, et al.. (2025). Joint Spatial and Frequency Domain Learning for Lightweight Spectral Image Demosaicing. IEEE Transactions on Image Processing. 34. 1119–1132. 2 indexed citations
4.
Feng, Jie, Tianshu Zhang, Junpeng Zhang, et al.. (2025). S4DL: Shift-Sensitive Spatial–Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 16894–16908. 20 indexed citations breakdown →
5.
Shi, Guangming, et al.. (2025). Local Uncertainty Energy Transfer for Active Domain Adaptation. IEEE Transactions on Image Processing. 34. 816–827. 1 indexed citations
6.
Feng, Jie, Hao Huang, Junpeng Zhang, et al.. (2024). SA-MixNet: Structure-Aware Mixup and Invariance Learning for Scribble-Supervised Road Extraction in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 2 indexed citations
7.
Yang, Zhou, et al.. (2024). Inverse Weight-Balancing for Deep Long-Tailed Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11713–11721.
8.
Li, Xin, Weisheng Dong, Jinjian Wu, Leida Li, & Guangming Shi. (2023). Superresolution Image Reconstruction: Selective milestones and open problems. IEEE Signal Processing Magazine. 40(5). 54–66. 5 indexed citations
9.
Liu, Zhaoxin, et al.. (2023). Motion-Oriented Hybrid Spiking Neural Networks for Event-Based Motion Deblurring. IEEE Transactions on Circuits and Systems for Video Technology. 34(5). 3742–3754. 6 indexed citations
10.
Wu, Jinjian, et al.. (2023). Transfer learning for just noticeable difference estimation. Information Sciences. 648. 119575–119575. 2 indexed citations
11.
Dong, Weisheng, et al.. (2023). Uncertainty-Driven Knowledge Distillation for Language Model Compression. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2850–2858. 7 indexed citations
12.
Yang, Wen, Jinjian Wu, Shiwei Tian, et al.. (2022). Fine-Grained Image Quality Caption With Hierarchical Semantics Degradation. IEEE Transactions on Image Processing. 31. 3578–3590. 5 indexed citations
13.
Huang, Tao, Weisheng Dong, Jinjian Wu, et al.. (2022). Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization. IEEE Transactions on Computational Imaging. 8. 201–214. 59 indexed citations
14.
Wu, Fangfang, et al.. (2021). Robust subspace clustering network with dual-domain regularization. Pattern Recognition Letters. 149. 44–50. 2 indexed citations
15.
Dong, Weisheng, et al.. (2021). Deep Maximum a Posterior Estimator for Video Denoising. International Journal of Computer Vision. 129(10). 2827–2845. 17 indexed citations
16.
Li, Leida, et al.. (2021). Blind Image Quality Index for Authentic Distortions With Local and Global Deep Feature Aggregation. IEEE Transactions on Circuits and Systems for Video Technology. 32(12). 8512–8523. 27 indexed citations
17.
Huang, Tao, Weisheng Dong, Jinshan Liu, et al.. (2020). Accelerating Convolutional Neural Network via Structured Gaussian Scale Mixture Models: A Joint Grouping and Pruning Approach. IEEE Journal of Selected Topics in Signal Processing. 14(4). 817–827. 3 indexed citations
18.
Lu, Xiaotong, et al.. (2019). Learning a Deep Vector Quantization Network for Image Compression. IEEE Access. 7. 118815–118825. 19 indexed citations
19.
Shi, Guangming, Tao Huang, Weisheng Dong, Jinjian Wu, & Xuemei Xie. (2018). Robust Foreground Estimation via Structured Gaussian Scale Mixture Modeling. IEEE Transactions on Image Processing. 27(10). 4810–4824. 35 indexed citations
20.
Wu, Jinjian, Leida Li, Weisheng Dong, et al.. (2017). Enhanced Just Noticeable Difference Model for Images With Pattern Complexity. IEEE Transactions on Image Processing. 26(6). 2682–2693. 120 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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