World's Best Scientists 2026 revealed!
Jonathan Cheung-Wai Chan

Jonathan Cheung-Wai Chan

D-Index & Metrics

Computer Science

D-Index
43
Citations
7747
World Ranking
7988
National Ranking
79

Jonathan Cheung-Wai Chan 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 Jonathan Cheung-Wai Chan 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: 133 publications — 20th percentile

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

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

Jonathan Cheung-Wai Chan 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 Jonathan Cheung-Wai Chan 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Jonathan Cheung-Wai Chan is affiliated with Vrije Universiteit Brussel in Belgium. Their research primarily spans the fields of Engineering and Computer Science, with a focus on Media Technology, Computer Vision and Pattern Recognition, Computational Mechanics, Atmospheric Science, and Artificial Intelligence.

The scientist's work centers on various core topics, including:

  • Remote-Sensing Image Classification
  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Sparse and Compressive Sensing Techniques
  • Remote Sensing and Land Use
  • Tensor decomposition and applications
  • Image Enhancement Techniques

Jonathan Cheung-Wai Chan has an extensive publication record in several key academic venues. The most frequent publication outlets include:

  • Remote Sensing
  • IEEE Transactions on Geoscience and Remote Sensing
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Transactions on Neural Networks and Learning Systems

Some of the recent papers authored or co-authored by the scientist are:

  • "Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution," 2021, IEEE Transactions on Image Processing
  • "Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion," 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "Automatic depression recognition using CNN with attention mechanism from videos," 2020, Neurocomputing
  • "When Laplacian Scale Mixture Meets Three-Layer Transform: A Parametric Tensor Sparsity for Tensor Completion," 2022, IEEE Transactions on Cybernetics
  • "Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples," 2020, ISPRS Journal of Photogrammetry and Remote Sensing

The scientist frequently collaborates with a number of researchers, including:

  • Yongqiang Zhao
  • Seong G. Kong
  • Jize Xue
  • Yuanyang Bu
  • Jingxiang Yang

Best Publications

  • Evaluation of random forest and adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

    Jonathan Cheung-Wai Chan;Desiré Paelinckx

  • Random forest regression for online capacity estimation of lithium-ion batteries

    Yi Li;Changfu Zou;Maitane Berecibar;Elise Nanini-Maury

  • Learning and Transferring Deep Joint Spectral–Spatial Features for Hyperspectral Classification

    Jingxiang Yang;Yong-Qiang Zhao;Jonathan Cheung-Wai Chan

  • Multiple Criteria for Evaluating Machine Learning Algorithms for Land Cover Classification from Satellite Data

    Ruth Defries;Jonathan Cheung-Wai Chan

  • Detecting the nature of change in an urban environment : A comparison of machine learning algorithms

    Jonathan Cheung-Wai Chan;Kwok-Ping Chan;Anthony Gar-On Yeh

  • Nonlocal Low-Rank Regularized Tensor Decomposition for Hyperspectral Image Denoising

    Jize Xue;Yongqiang Zhao;Wenzhi Liao;Jonathan Cheung-Wai Chan

  • Hyperspectral and Multispectral Image Fusion via Deep Two-Branches Convolutional Neural Network

    Jingxiang Yang;Yong-Qiang Zhao;Jonathan Cheung-Wai Chan

  • Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion.

    Jize Xue;Yongqiang Zhao;Shaoguang Huang;Wenzhi Liao

  • Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution

    Jize Xue;Yong-Qiang Zhao;Yuanyang Bu;Wenzhi Liao

  • Potential of Resolution-Enhanced Hyperspectral Data for Mineral Mapping Using Simulated EnMAP and Sentinel-2 Images

    Naoto Yokoya;Jonathan Cheung-Wai Chan;Karl Segl

  • Hyperspectral Images Classification Based on Dense Convolutional Networks with Spectral-Wise Attention Mechanism

    Bei Fang;Ying Li;Haokui Zhang;Jonathan Cheung Wai Chan

  • When Laplacian Scale Mixture Meets Three-Layer Transform: A Parametric Tensor Sparsity for Tensor Completion

    Unknown

  • Automatic depression recognition using CNN with attention mechanism from videos

    Lang He;Jonathan Cheung-Wai Chan;Zhongmin Wang

  • Hyperspectral image classification using two-channel deep convolutional neural network

    Jingxiang Yang;Yongqiang Zhao;Jonathan Cheung-Wai Chan;Chen Yi

  • Improved Classification of VHR Images of Urban Areas Using Directional Morphological Profiles

    Rik Bellens;Sidharta Gautama;Leyden Martinez-Fonte;Wilfried Philips

  • Fully Automatic Subpixel Image Registration of Multiangle CHRIS/Proba Data

    Jianglin Ma;Jonathan Cheung-Wai Chan;Frank Canters

  • An Iterative Image Dehazing Method With Polarization

    Linghao Shen;Yongqiang Zhao;Qunnie Peng;Jonathan Cheung-Wai Chan

  • Enhanced algorithm performance for land cover classification from remotely sensed data using bagging and boosting

    Jonathan Cheung-Wai Chan;Chengquan Huang;R. DeFries

  • Coupled Sparse Denoising and Unmixing With Low-Rank Constraint for Hyperspectral Image

    Jingxiang Yang;Yong-qiang Zhao;Jonathan Cheung-Wai Chan;Seong G. Kong

  • Thin cloud removal with residual symmetrical concatenation network

    Wenbo Li;Wenbo Li;Ying Li;Di Chen;Jonathan Cheung-Wai Chan

  • Qualitative distinction of congeneric and introgressive mangrove species in mixed patchy forest assemblages using high spatial resolution remotely sensed imagery (IKONOS)

    Farid Dahdouh-Guebas;Elly Van Hiel;Jonathan Cheung-Wai Chan;Loku Pupukkittige Jayatissa

  • Hyperspectral Imagery Super-Resolution by Spatial-Spectral Joint Nonlocal Similarity

    Yongqiang Zhao;Jingxiang Yang;Jonathan Cheung-Wai Chan

Frequent Co-Authors

Seong G. Kong
Seong G. Kong Sejong University
Wenzhi Liao
Wenzhi Liao Ghent University
Ruth S. DeFries
Ruth S. DeFries Columbia University
Okke Batelaan
Okke Batelaan Flinders University
Farid Dahdouh-Guebas
Farid Dahdouh-Guebas Université Libre de Bruxelles
Damiano Gianelle
Damiano Gianelle Fondazione Edmund Mach
Wilfried Philips
Wilfried Philips Ghent University
Naoto Yokoya
Naoto Yokoya University of Tokyo
Quan Pan
Quan Pan Northwestern Polytechnical University
Franco Miglietta
Franco Miglietta National Research Council (CNR)

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