World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6682
World Ranking
10643
National Ranking
103

Wenzhi Liao 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 Wenzhi Liao 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: 135 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Wenzhi Liao 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 Wenzhi Liao 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Wenzhi Liao is affiliated with Ghent University in Belgium, contributing extensively to the fields of Engineering and Computer Science. Their research portfolio includes 54 publications in Engineering and 35 publications in Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Media Technology, Industrial and Manufacturing Engineering, Artificial Intelligence, and Mechanical Engineering.

Liao's main topics of work encompass Remote-Sensing Image Classification, Advanced Image Fusion Techniques, Image and Signal Denoising Methods, Industrial Vision Systems and Defect Detection, Remote Sensing in Agriculture, Advanced Neural Network Applications, and Infrastructure Maintenance and Monitoring.

The scientist has published numerous articles in prominent venues, including:

  • IEEE Transactions on Geoscience and Remote Sensing (6 publications)
  • IEEE Transactions on Instrumentation and Measurement (3 publications)
  • IEEE Transactions on Neural Networks and Learning Systems (2 publications)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 publications)
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2 publications)

Frequent coauthors working with Liao include Wilfried Philips, Lianfang Tian, Qiliang Du, Xudong Zhao, and Ran Tao.

Selected recent papers authored by or involving Wenzhi Liao are:

  • Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • 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
  • Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification, 2022, IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • Hyperspectral Pansharpening: A Review

    Laetitia Loncan;Luis B. de Almeida;Jose M. Bioucas-Dias;Xavier Briottet

  • Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

    Pedram Ghamisi;Naoto Yokoya;Jun Li;Wenzhi Liao

  • Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest

    Christian Debes;Andreas Merentitis;Roel Heremans;Jürgen T. Hahn

  • Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest

    Wenzhi Liao;Xin Huang;Frieke Van Coillie;Sidharta Gautama

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

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

  • Semisupervised Local Discriminant Analysis for Feature Extraction in Hyperspectral Images

    Wenzhi Liao;A. Pizurica;P. Scheunders;W. Philips

  • Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture

    Xudong Zhao;Ran Tao;Wei Li;Heng-Chao Li

  • Generalized Graph-Based Fusion of Hyperspectral and LiDAR Data Using Morphological Features

    Wenzhi Liao;Aleksandra Pizurica;Rik Bellens;Sidharta Gautama

  • 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

  • Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution

    Ke Zheng;Lianru Gao;Wenzhi Liao;Danfeng Hong

  • Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

    Junfeng Gao;Wenzhi Liao;David Nuyttens;Peter Lootens

  • Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification.

    Unknown

  • Classification of Hyperspectral Data Over Urban Areas Using Directional Morphological Profiles and Semi-Supervised Feature Extraction

    Wenzhi Liao;R. Bellens;A. Pizurica;W. Philips

  • Joint Spatial and Spectral Low-Rank Regularization for Hyperspectral Image Denoising

    Jize Xue;Yongqiang Zhao;Wenzhi Liao;Seong G. Kong

  • Frequency‐to‐spectrum mapping GAN for semisupervised hyperspectral anomaly detection

    Unknown

  • Multiscale Superpixel-Level Subspace-Based Support Vector Machines for Hyperspectral Image Classification

    Haoyang Yu;Lianru Gao;Wenzhi Liao;Bing Zhang

  • Fractional Gabor convolutional network for multisource remote sensing data classification

    Xudong Zhao;Ran Tao;Wei Li;Wilfried Philips

  • Enhanced Sparsity Prior Model for Low-Rank Tensor Completion

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

  • Detecting Road Intersections from GPS Traces Using Longest Common Subsequence Algorithm

    Xingzhe Xie;Wenzhi Liao;Hamid K. Aghajan;Peter Veelaert

  • Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data

    Wenzhi Liao;Rik Bellens;Aleksandra Pizurica;Sidharta Gautama

  • Global Spatial and Local Spectral Similarity-Based Manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification

    Haoyang Yu;Lianru Gao;Wenzhi Liao;Bing Zhang

  • Nonlocal Tensor Sparse Representation and Low-Rank Regularization for Hyperspectral Image Compressive Sensing Reconstruction

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

Frequent Co-Authors

Wilfried Philips
Wilfried Philips Ghent University
Aleksandra Pizurica
Aleksandra Pizurica Ghent University
Lianru Gao
Lianru Gao Aerospace Information Research Institute
Bing Zhang
Bing Zhang Chinese Academy of Sciences
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Heng-Chao Li
Heng-Chao Li Southwest Jiaotong University
Jonathan Cheung-Wai Chan
Jonathan Cheung-Wai Chan Vrije Universiteit Brussel
Paul Scheunders
Paul Scheunders University of Antwerp
Liangpei Zhang
Liangpei Zhang Wuhan University

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