World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
31659
World Ranking
1317
National Ranking
176

Deyu Meng publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Deyu Meng sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 304 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Deyu Meng D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Deyu Meng sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 76 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Deyu Meng is affiliated with Xi'an Jiaotong University in China. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering.

The scientist's work covers a variety of topics, including:

  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques
  • Advanced Image Fusion Techniques
  • Remote-Sensing Image Classification
  • Image Enhancement Techniques
  • Domain Adaptation and Few-Shot Learning
  • Sparse and Compressive Sensing Techniques

Deyu Meng has contributed to several recent papers, highlighting ongoing research interests and collaborations. These include:

  • "Hyperspectral Image Classification With Convolutional Neural Network and Active Learning," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion," 2023, IEEE Transactions on Geoscience and Remote Sensing
  • "Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing," 2020, IEEE Transactions on Image Processing

Their frequent co-authors list includes several researchers with whom they have collaborated extensively:

  • Xiangyong Cao
  • Qian Zhao
  • Chenqiang Gao
  • Zongben Xu
  • Yefeng Zheng

Deyu Meng's publications often appear in noted venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Image Processing

Best Publications

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

    Kai Zhang;Wangmeng Zuo;Yunjin Chen;Deyu Meng

  • Infrared Patch-Image Model for Small Target Detection in a Single Image

    Chenqiang Gao;Deyu Meng;Yi Yang;Yongtao Wang

  • Progressive Image Deraining Networks: A Better and Simpler Baseline

    Dongwei Ren;Wangmeng Zuo;Qinghua Hu;Pengfei Zhu

  • Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

    Shuhang Gu;Qi Xie;Deyu Meng;Wangmeng Zuo

  • Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

    Jun Shu;Qi Xie;Lixuan Yi;Qian Zhao

  • Self-paced curriculum learning

    Lu Jiang;Deyu Meng;Qian Zhao;Shiguang Shan

  • Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework

    Dingwen Zhang;Deyu Meng;Junwei Han

  • Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network

    Xiangyong Cao;Feng Zhou;Lin Xu;Deyu Meng

  • Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition

    Yao Wang;Jiangjun Peng;Qian Zhao;Yee Leung

  • Semi-Supervised Transfer Learning for Image Rain Removal

    Wei Wei;Deyu Meng;Qian Zhao;Zongben Xu

  • A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding

    Wangmeng Zuo;Deyu Meng;Lei Zhang;Xiangchu Feng

  • DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation

    Jiang Liu;Chenqiang Gao;Deyu Meng;Alexander G. Hauptmann

  • A Model-Driven Deep Neural Network for Single Image Rain Removal

    Hong Wang;Qi Xie;Qian Zhao;Deyu Meng

  • Convolutional Sparse Coding for Image Super-Resolution

    Shuhang Gu;Wangmeng Zuo;Qi Xie;Deyu Meng

  • EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network

    Unknown

  • Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising

    Yi Peng;Deyu Meng;Zongben Xu;Chenqiang Gao

  • Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach

    Kede Ma;Hui Li;Hongwei Yong;Zhou Wang

  • Self-Paced Learning with Diversity

    Lu Jiang;Deyu Meng;Shoou-I Yu;Zhenzhong Lan

  • Hyperspectral Image Classification With Convolutional Neural Network and Active Learning

    Xiangyong Cao;Jing Yao;Zongben Xu;Deyu Meng

  • Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search

    Lu Jiang;Deyu Meng;Teruko Mitamura;Alexander G. Hauptmann

  • Variational Denoising Network: Toward Blind Noise Modeling and Removal

    Zongsheng Yue;Hongwei Yong;Qian Zhao;Lei Zhang

  • Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition

    Yao Wang;Jiangjun Peng;Qian Zhao;Deyu Meng

Frequent Co-Authors

Qian Zhao
Qian Zhao Xi'an Jiaotong University
Zongben Xu
Zongben Xu Xi'an Jiaotong University
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
Yee Leung
Yee Leung Chinese University of Hong Kong
Jianhua Ma
Jianhua Ma Hosei University
Teruko Mitamura
Teruko Mitamura Carnegie Mellon University
Sanping Zhou
Sanping Zhou Xi'an Jiaotong University
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen

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