World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6305
World Ranking
11573
National Ranking
1432

Yanyun Qu 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 Yanyun Qu 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 215 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Yanyun Qu 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 Yanyun Qu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Yanyun Qu is affiliated with Xiamen University in China and focuses on research primarily in the fields of Computer Science and Engineering. Their work spans several subfields, most notably Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics, and Geology.

Their main research topics include:

  • Advanced Image Processing Techniques
  • Advanced Neural Network Applications
  • 3D Shape Modeling and Analysis
  • Domain Adaptation and Few-Shot Learning
  • Image and Signal Denoising Methods
  • 3D Surveying and Cultural Heritage
  • Video Surveillance and Tracking Methods

Yanyun Qu has published extensively, with notable papers including:

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study, 2020, IEEE Transactions on Image Processing
  • Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Joint Deep Multi-View Learning for Image Clustering, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Robust Kernelized Multiview Self-Representation for Subspace Clustering, 2020, IEEE Transactions on Neural Networks and Learning Systems

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • Proceedings of the 30th ACM International Conference on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Yanyun Qu collaborates regularly with several co-authors, including:

  • Yuan Xie
  • Zhizhong Zhang
  • Lizhuang Ma
  • Yachao Zhang
  • Xiaotong Luo

Best Publications

  • Contrastive Learning for Compact Single Image Dehazing

    Haiyan Wu;Yanyun Qu;Shaohui Lin;Jian Zhou

  • Enhanced Pix2pix Dehazing Network

    Yanyun Qu;Yizi Chen;Jingying Huang;Yuan Xie

  • On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization

    Yuan Xie;Dacheng Tao;Wensheng Zhang;Yan Liu

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

  • LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block

    Xiaotong Luo;Yuan Xie;Yulun Zhang;Yanyun Qu

  • Distilling Image Dehazing With Heterogeneous Task Imitation

    Ming Hong;Yuan Xie;Cuihua Li;Yanyun Qu

  • Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten $p$ -Norm Minimization

    Yuan Xie;Yanyun Qu;Dacheng Tao;Weiwei Wu

  • Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning

    Yuan Xie;Wensheng Zhang;Yanyun Qu;Longquan Dai

  • Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification

    Xudong Tian;Zhizhong Zhang;Shaohui Lin;Yanyun Qu

  • Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation

    Yachao Zhang;Yanyun Qu;Yuan Xie;Zonghao Li

  • Discriminative Object Tracking via Sparse Representation and Online Dictionary Learning

    Yuan Xie;Wensheng Zhang;Cuihua Li;Shuyang Lin

  • Joint Deep Multi-View Learning for Image Clustering

    Yuan Xie;Bingqian Lin;Yanyun Qu;Cuihua Li

  • Unifying visual saliency with HOG feature learning for traffic sign detection

    Yuan Xie;Li-Feng Liu;Cui-Hua Li;Yan-Yun Qu

  • NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results

    Jianrui Cai;Shuhang Gu;Radu Timofte;Lei Zhang

  • Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud.

    Yachao Zhang;Zhonghao Li;Yuan Xie;Yanyun Qu

  • Trident Dehazing Network

    Jing Liu;Haiyan Wu;Yuan Xie;Yanyun Qu

  • Underwater-GAN: Underwater Image Restoration via Conditional Generative Adversarial Network

    Xiaoli Yu;Yanyun Qu;Ming Hong

  • NTIRE 2020 challenge on nonhomogeneous dehazing

    Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte

  • En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning

    Unknown

  • NTIRE 2021 NonHomogeneous Dehazing Challenge Report

    Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte

  • Robust Kernelized Multiview Self-Representation for Subspace Clustering

    Yuan Xie;Jinyan Liu;Yanyun Qu;Dacheng Tao

  • AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

    Kai Zhang;Martin Danelljan;Yawei Li;Radu Timofte

  • AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

    Kai Zhang;Martin Danelljan;Yawei Li;Radu Timofte

Frequent Co-Authors

Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Lizhuang Ma
Lizhuang Ma Shanghai Jiao Tong University
Wensheng Zhang
Wensheng Zhang Iowa State University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Radu Timofte
Radu Timofte University of Wurzburg
Hanzi Wang
Hanzi Wang Xiamen University
Jianping Fan
Jianping Fan University of North Carolina at Charlotte
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Vishal Monga
Vishal Monga Pennsylvania State University

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