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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
90
Citations
37947
World Ranking
604
National Ranking
85

Shutao Li 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 Shutao Li 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: 364 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Shutao Li 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 Shutao Li 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: 90 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2019 - IEEE Fellow For contributions to image fusion and classification in remote sensing

Overview

Shutao Li is affiliated with Hunan University in China with extensive research contributions in engineering and computer science. Their work has a significant focus on remote-sensing image classification, advanced image fusion techniques, and image and signal denoising methods. The primary fields of study for their publications are engineering with 241 papers and computer science with 199 papers, reflecting a strong interdisciplinary approach to technology and scientific challenges.

Key subfields in their research include:

  • Computer Vision and Pattern Recognition
  • Media Technology
  • Artificial Intelligence
  • Civil and Structural Engineering
  • Atmospheric Science

The primary research topics covered by Shutao Li are:

  • Remote-Sensing Image Classification
  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Advanced Image and Video Retrieval Techniques
  • Remote Sensing and Land Use
  • Structural Response to Dynamic Loads
  • Advanced Neural Network Applications

Shutao Li has authored several papers with notable publications including:

  • "Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Facial Expression Recognition With Visual Transformers and Attentional Selective Fusion," 2021, IEEE Transactions on Affective Computing
  • "Recent advances and new guidelines on hyperspectral and multispectral image fusion," 2020, Information Fusion
  • "CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging," 2024, Information Fusion
  • "Global-Local Transformer Network for HSI and LiDAR Data Joint Classification," 2022, IEEE Transactions on Geoscience and Remote Sensing

The frequent publication venues show the breadth and consistency of their contributions, including:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • Information Fusion
  • IEEE Transactions on Image Processing

The list of frequent co-authors reveals collaboration patterns within their research community:

  • Xudong Kang
  • Bin Sun
  • Puhong Duan
  • Renwei Dian
  • Xiaohui Wei

In 2019, Shutao Li was named an IEEE Fellow with the citation "For contributions to image fusion and classification in remote sensing," recognizing their work in these specialized areas.

Best Publications

  • ADASYN: Adaptive synthetic sampling approach for imbalanced learning

    Haibo He;Yang Bai;E.A. Garcia;Shutao Li

  • Image Fusion With Guided Filtering

    Shutao Li;Xudong Kang;Jianwen Hu

  • Deep Learning for Hyperspectral Image Classification: An Overview

    Shutao Li;Weiwei Song;Leyuan Fang;Yushi Chen

  • Pixel-level image fusion

    Shutao Li;Xudong Kang;Leyuan Fang;Jianwen Hu

  • Multifocus Image Fusion and Restoration With Sparse Representation

    Bin Yang;Shutao Li

  • Spectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering

    Xudong Kang;Shutao Li;Jon Atli Benediktsson

  • Performance comparison of different multi-resolution transforms for image fusion

    Shutao Li;Bin Yang;Jianwen Hu

  • Recent Advances on Spectral–Spatial Hyperspectral Image Classification: An Overview and New Guidelines

    Lin He;Jun Li;Chenying Liu;Shutao Li

  • Combination of images with diverse focuses using the spatial frequency

    Shutao Li;Shutao Li;James Tin-Yau Kwok;Yaonan Wang

  • Multifocus image fusion using region segmentation and spatial frequency

    Shutao Li;Bin Yang

  • Hyperspectral Image Classification With Deep Feature Fusion Network

    Weiwei Song;Shutao Li;Leyuan Fang;Ting Lu

  • Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization

    Shutao Li;Renwei Dian;Leyuan Fang;José M. Bioucas-Dias

  • Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search.

    Leyuan Fang;David Cunefare;Chong Wang;Robyn H. Guymer

  • A New Pan-Sharpening Method Using a Compressed Sensing Technique

    Shutao Li;Bin Yang

  • Hyperspectral Anomaly Detection With Attribute and Edge-Preserving Filters

    Xudong Kang;Xiangping Zhang;Shutao Li;Kenli Li

  • Pixel-level image fusion with simultaneous orthogonal matching pursuit

    Bin Yang;Shutao Li

  • Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images

    Shutao Li;Shutao Li;James T Kwok;Yaonan Wang

  • Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion

    Shutao Li;Haitao Yin;Leyuan Fang

  • Multifocus image fusion using artificial neural networks

    Shutao Li;James T. Kwok;Yaonan Wang

  • Classification of Hyperspectral Images by Exploiting Spectral–Spatial Information of Superpixel via Multiple Kernels

    Leyuan Fang;Shutao Li;Wuhui Duan;Jinchang Ren

  • Deep Hyperspectral Image Sharpening

    Renwei Dian;Shutao Li;Anjing Guo;Leyuan Fang

Frequent Co-Authors

Leyuan Fang
Leyuan Fang Hunan University
Xudong Kang
Xudong Kang Hunan University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
James T. Kwok
James T. Kwok Hong Kong University of Science and Technology
Pedram Ghamisi
Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf
Antonio Plaza
Antonio Plaza University of Extremadura
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Mingkui Tan
Mingkui Tan South China University of Technology
Javier Plaza
Javier Plaza University of Extremadura
Sina Farsiu
Sina Farsiu Duke University

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