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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
106
Citations
68553
World Ranking
271
National Ranking
32

Wangmeng Zuo 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 Wangmeng Zuo 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: 579 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Wangmeng Zuo 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 Wangmeng Zuo 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: 106 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Wangmeng Zuo is affiliated with the Harbin Institute of Technology in China and specializes in computer science, with a particular focus on computer vision and pattern recognition. Their body of work encompasses various advanced topics and techniques within image processing and artificial intelligence.

The research topics prominently covered by Wangmeng Zuo include:

  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Advanced Vision and Imaging
  • Image Processing Techniques and Applications
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Image Enhancement Techniques

They have contributed extensively to the field of image processing, with their published works appearing frequently in renowned venues. The most common publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence

Some recent notable publications by Wangmeng Zuo are:

  • Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation, 2021, IEEE Transactions on Cybernetics
  • Deep learning on image denoising: An overview, 2020, Neural Networks
  • Attention-guided CNN for image denoising, 2020, Neural Networks
  • Multi-stage image denoising with the wavelet transform, 2022, Pattern Recognition
  • Coarse-to-Fine CNN for Image Super-Resolution, 2020, IEEE Transactions on Multimedia

The scientist frequently collaborates with other researchers, including:

  • Dongwei Ren
  • Zhilu Zhang
  • Yiwen Guo
  • Xiaohe Wu
  • Mingwen Shao

Wangmeng Zuo's research also intersects several related fields and subfields such as artificial intelligence, media technology, biomedical engineering, and electrical and electronic engineering, reflecting a multidisciplinary approach within computer science and technology.

Best Publications

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

    Kai Zhang;Wangmeng Zuo;Yunjin Chen;Deyu Meng

  • ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

    Qilong Wang;Banggu Wu;Pengfei Zhu;Peihua Li

  • FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

    Kai Zhang;Wangmeng Zuo;Lei Zhang

  • Weighted Nuclear Norm Minimization with Application to Image Denoising

    Shuhang Gu;Lei Zhang;Wangmeng Zuo;Xiangchu Feng

  • Learning Deep CNN Denoiser Prior for Image Restoration

    Kai Zhang;Wangmeng Zuo;Shuhang Gu;Lei Zhang

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation.

    Zhaohui Zheng;Ping Wang;Dongwei Ren;Wei Liu

  • Learning a Single Convolutional Super-Resolution Network for Multiple Degradations

    Kai Zhang;Wangmeng Zuo;Lei Zhang

  • Toward Convolutional Blind Denoising of Real Photographs

    Shi Guo;Zifei Yan;Kai Zhang;Wangmeng Zuo

  • Deep learning on image denoising: An overview.

    Chunwei Tian;Lunke Fei;Wenxian Zheng;Yong Xu

  • Progressive Image Deraining Networks: A Better and Simpler Baseline

    Dongwei Ren;Wangmeng Zuo;Qinghua Hu;Pengfei Zhu

  • Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking

    Feng Li;Cheng Tian;Wangmeng Zuo;Lei Zhang

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

    Shuhang Gu;Qi Xie;Deyu Meng;Wangmeng Zuo

  • AttGAN: Facial Attribute Editing by Only Changing What You Want

    Zhenliang He;Wangmeng Zuo;Meina Kan;Shiguang Shan

  • Multi-level Wavelet-CNN for Image Restoration

    Pengju Liu;Hongzhi Zhang;Kai Zhang;Liang Lin

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Plug-and-Play Image Restoration with Deep Denoiser Prior

    Kai Zhang;Yawei Li;Wangmeng Zuo;Lei Zhang

  • Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation

    Hongliang Yan;Yukang Ding;Peihua Li;Qilong Wang

  • Attention-guided CNN for image denoising.

    Chunwei Tian;Yong Xu;Zuoyong Li;Wangmeng Zuo

  • Weighted Schatten $p$ -Norm Minimization for Image Denoising and Background Subtraction

    Yuan Xie;Shuhang Gu;Yan Liu;Wangmeng Zuo

  • Neighborhood Component Feature Selection for High-Dimensional Data

    Wei Yang;Kuanquan Wang;Wangmeng Zuo

  • An Online System of Multispectral Palmprint Verification

    D. Zhang;Zhenhua Guo;Guangming Lu;Lei Zhang

Frequent Co-Authors

David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Kuanquan Wang
Kuanquan Wang Harbin Institute of Technology
Liang Lin
Liang Lin Sun Yat-sen University
Deyu Meng
Deyu Meng Xi'an Jiaotong University
Yong Xu
Yong Xu Harbin Institute of Technology
Peihua Li
Peihua Li Dalian University of Technology
Shuhang Gu
Shuhang Gu University of Electronic Science and Technology of China
Qinghua Hu
Qinghua Hu Tianjin University
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced

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