World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
19223
World Ranking
1783
National Ranking
245

Yanning Zhang 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 Yanning Zhang 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: 680 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Yanning Zhang 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 Yanning Zhang 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: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Yanning Zhang is affiliated with Northwestern Polytechnical University in China and has an extensive publication record primarily in the fields of Computer Science and Engineering. Their research activity spans key subfields such as Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Aerospace Engineering, and Biomedical Engineering.

Their work focuses significantly on advanced methods in image and signal processing, including the development of neural network applications and image fusion techniques. Main research topics include advanced image processing techniques, image and signal denoising methods, advanced image fusion techniques, advanced neural network applications, video surveillance and tracking methods, remote-sensing image classification, and advanced vision and imaging.

Notable recent papers authored by Yanning Zhang include:

  • Multi-stage image denoising with the wavelet transform, 2022, published in Pattern Recognition
  • Deep HDR Imaging via A Non-Local Network, 2020, published in IEEE Transactions on Image Processing
  • CrackW-Net: A Novel Pavement Crack Image Segmentation Convolutional Neural Network, 2021, published in IEEE Transactions on Intelligent Transportation Systems
  • NFN: A novel network followed network for retinal vessel segmentation, 2020, published in Neural Networks
  • Recent developments in metal additive manufacturing, 2020, published in Current Opinion in Chemical Engineering

Yanning Zhang has collaborated frequently with a number of researchers, including Qingsen Yan, Jinqiu Sun, Wei Wei, Peng Wang, and Lei Zhang. These collaborations have contributed significantly to the breadth and depth of their research outputs.

Their work has appeared in a variety of scientific venues, with a strong presence in journals and conferences such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Geoscience and Remote Sensing
  • Pattern Recognition
  • IEEE Transactions on Image Processing

Throughout their career, Yanning Zhang's research has maintained a focus on practical and theoretical advancements that intersect core engineering principles with computer science methodologies, particularly within neural network design, image enhancement, and the development of algorithms for image segmentation and classification.

Best Publications

  • Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network

    Shaolin Su;Qingsen Yan;Yu Zhu;Cheng Zhang

  • Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering

    Tao Lei;Xiaohong Jia;Yanning Zhang;Lifeng He

  • From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur

    Dong Gong;Jie Yang;Lingqiao Liu;Yanning Zhang

  • Multi-stage image denoising with the wavelet transform

    Unknown

  • Task Offloading in Vehicular Edge Computing Networks: A Load-Balancing Solution

    Jie Zhang;Hongzhi Guo;Jiajia Liu;Yanning Zhang

  • Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation

    Tao Lei;Xiaohong Jia;Yanning Zhang;Shigang Liu

  • Multi-View Automatic Target Recognition using Joint Sparse Representation

    Haichao Zhang;N. M. Nasrabadi;Y. Zhang;T. S. Huang

  • Attention-Guided Network for Ghost-Free High Dynamic Range Imaging

    Qingsen Yan;Dong Gong;Qinfeng Shi;Anton van den Hengel

  • Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT

    Yutong Xie;Jianpeng Zhang;Yong Xia;Michael J. Fulham

  • Part-Based Visual Tracking with Online Latent Structural Learning

    Rui Yao;Qinfeng Shi;Chunhua Shen;Yanning Zhang

  • NAS-FCOS: Fast Neural Architecture Search for Object Detection

    Ning Wang;Yang Gao;Hao Chen;Peng Wang

  • Deep HDR Imaging via A Non-Local Network

    Qingsen Yan;Lei Zhang;Yu Liu;Yu Zhu

  • Hybrid Deep Neural Network--Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition

    Longfei Li;Yong Zhao;Dongmei Jiang;Yanning Zhang

  • Close the loop: Joint blind image restoration and recognition with sparse representation prior

    Haichao Zhang;Jianchao Yang;Yanning Zhang;Nasser M. Nasrabadi

  • Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior

    Haichao Zhang;David Wipf;Yanning Zhang

  • NFN+: A novel network followed network for retinal vessel segmentation.

    Yicheng Wu;Yong Xia;Yang Song;Yanning Zhang

  • Person Re-Identification in Aerial Imagery

    Shizhou Zhang;Qi Zhang;Yifei Yang;Xing Wei

  • 3D Registration with Maximal Cliques

    Unknown

  • Two-Stream Convolutional Networks for Blind Image Quality Assessment

    Qingsen Yan;Dong Gong;Yanning Zhang

  • An unsupervised deep domain adaptation approach for robust speech recognition

    Sining Sun;Binbin Zhang;Lei Xie;Yanning Zhang

  • Multiscale Network Followed Network Model for Retinal Vessel Segmentation

    Yicheng Wu;Yong Xia;Yang Song;Yanning Zhang

  • Smart and Resilient EV Charging in SDN-Enhanced Vehicular Edge Computing Networks

    Jiajia Liu;Hongzhi Guo;Jingyu Xiong;Nei Kato

  • Single Image Super-resolution Using Deformable Patches

    Yu Zhu;Yanning Zhang;Alan L. Yuille

Frequent Co-Authors

Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Yong Xia
Yong Xia Northwestern Polytechnical University
Qinfeng Shi
Qinfeng Shi University of Adelaide
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Anton van den Hengel
Anton van den Hengel University of Adelaide
Qingsen Yan
Qingsen Yan Northwestern Polytechnical University
Chunhua Shen
Chunhua Shen Zhejiang University
Nasser M. Nasrabadi
Nasser M. Nasrabadi West Virginia University
Stephen J. Maybank
Stephen J. Maybank Birkbeck, University of London
Rui Yu
Rui Yu Eindhoven University of Technology

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