World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6540
World Ranking
10187
National Ranking
407

Yun 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 Yun 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: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Yun 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 Yun 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Yun Zhang is affiliated with the University of New Brunswick in Canada and has contributed extensively to the fields of engineering and computer science, with a particular focus on media technology and computer vision and pattern recognition. Their research spans subfields such as ecology, atmospheric science, and aerospace engineering.

The scientist's publication record shows a significant emphasis on remote sensing technologies and image processing techniques. The topics addressed in their work include:

  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • Advanced Image Fusion Techniques
  • Remote Sensing and Land Use
  • Image Processing Techniques and Applications
  • Remote Sensing and LiDAR Applications
  • Satellite Image Processing and Photogrammetry

Yun Zhang has published multiple papers in reputable venues, including IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing of Environment, arXiv, and the SSRN Electronic Journal. Frequent publication venues also include the Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Some notable papers from their recent work include:

  • "Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review," 2021, Journal of Applied Remote Sensing
  • "Spectral-Spatial and Cascaded Multilayer Random Forests for Tree Species Classification in Airborne Hyperspectral Images," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "Evaluating annual spruce budworm defoliation using change detection of vegetation indices calculated from satellite hyperspectral imagery," 2020, Remote Sensing of Environment
  • "YOLO v7-CS: A YOLO v7-Based Model for Lightweight Bayberry Target Detection Count," 2023, Agronomy
  • "Multigranularity Multiclass-Layer Markov Random Field Model for Semantic Segmentation of Remote Sensing Images," 2020, IEEE Transactions on Geoscience and Remote Sensing

The scientist collaborates regularly with a group of frequent coauthors, including Fei Tong, Ganyun Sun, Weilong Liu, Shawn David Donovan, and David A. MacLean, with whom they have multiple joint publications.

Best Publications

  • Wavelet based image fusion techniques — An introduction, review and comparison

    Krista Amolins;Yun Zhang;Peter Dare

  • Understanding image fusion

    Yun Zhang

  • Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

    Masoud Mahdianpari;Bahram Salehi;Mohammad Rezaee;Fariba Mohammadimanesh

  • Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review

    Sima Peyghambari;Yun Zhang

  • An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images

    Unknown

  • Optimisation of building detection in satellite images by combining multispectral classification and texture filtering

    Unknown

  • Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery

    Mohammad Rezaee;Masoud Mahdianpari;Yun Zhang;Bahram Salehi

  • Object-Based Classification of Urban Areas Using VHR Imagery and Height Points Ancillary Data

    Bahram Salehi;Yun Zhang;Ming Zhong;Vivek Dey

  • Wavelet-based image registration technique for high-resolution remote sensing images

    Gang Hong;Yun Zhang

  • Incorporating Adaptive Local Information Into Fuzzy Clustering for Image Segmentation

    Guoying Liu;Yun Zhang;Aimin Wang

  • METHODS FOR IMAGE FUSION QUALITY ASSESSMENT - A REVIEW, COMPARISON AND ANALYSIS

    Yun Zhang;Wg Vii

  • Mapping concentrations of surface water quality parameters using a novel remote sensing and artificial intelligence framework

    Essam Sharaf El Din;Yun Zhang;Alaeldin Suliman

  • A review and comparison of commercially available pan-sharpening techniques for high resolution satellite image fusion

    Yun Zhang;Rakesh K. Mishra

  • R 3 -Net: A Deep Network for Multioriented Vehicle Detection in Aerial Images and Videos

    Qingpeng Li;Lichao Mou;Qizhi Xu;Yun Zhang

  • Texture-Integrated Classification of Urban Treed Areas in High-Resolution Color-Infrared Imagery

    Yun Zhang

  • A Novel Interest-Point-Matching Algorithm for High-Resolution Satellite Images

    Zhen Xiong;Yun Zhang

  • Review and evaluation of remote sensing methods for soil-moisture estimation

    Amer Ahmed;Yun Zhang;Sue Nichols

  • High-Fidelity Component Substitution Pansharpening by the Fitting of Substitution Data

    Qizhi Xu;Bo Li;Yun Zhang;Lin Ding

  • A Supervised and Fuzzy-based Approach to Determine Optimal Multi-resolution Image Segmentation Parameters

    Hengjian Tong;Travis Maxwell;Yun Zhang;Vivek Dey

  • Detection of urban housing development by fusing multisensor satellite data and performing spatial feature post-classification

    Yun Zhang

  • Recent advances in pansharpening and key problems in applications

    Qizhi Xu;Yun Zhang;Bo Li

  • From UNB PanSharp to Fuze Go – the success behind the pan-sharpening algorithm

    Yun Zhang;Rakesh Kumar Mishra

Frequent Co-Authors

Bahram Salehi
Bahram Salehi SUNY College of Environmental Science and Forestry
David A. MacLean
David A. MacLean University of New Brunswick
Lichao Mou
Lichao Mou Technical University of Munich
Paul A. Arp
Paul A. Arp University of New Brunswick
Charles P.-A. Bourque
Charles P.-A. Bourque University of New Brunswick
Zhenwei Shi
Zhenwei Shi Beihang University
Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich
Junjun Jiang
Junjun Jiang Harbin Institute of Technology

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