World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

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

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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