World's Best Scientists 2026 revealed!
Liangpei Zhang

Liangpei Zhang

Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
143
Citations
80060
World Ranking
55
National Ranking
8

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 processing of remote sensing data

Overview

Liangpei Zhang is affiliated with Wuhan University in China. Their research spans several key areas within engineering and environmental science, with primary focus on remote sensing technologies and atmospheric studies.

Their main fields of study include:

  • Engineering
  • Environmental Science

Subfields of study prominently featured in their work are:

  • Media Technology
  • Global and Planetary Change
  • Mechanical Engineering
  • Health, Toxicology and Mutagenesis
  • Atmospheric Science

The major topics explored by Liangpei Zhang cover:

  • Remote-Sensing Image Classification
  • Atmospheric and Environmental Gas Dynamics
  • Advanced Image Fusion Techniques
  • Remote Sensing and Land Use
  • Remote Sensing in Agriculture
  • Phase Change Materials Research
  • Solar Thermal and Photovoltaic Systems

Liangpei Zhang's recent papers include:

  • Polyethylene glycol/modified carbon foam composites for efficient light-thermal conversion and storage, 2021, Polymer
  • Substantially underestimated global health risks of current ozone pollution, 2025, Nature Communications
  • Dual selective fusion transformer network for hyperspectral image classification, 2025, Neural Networks
  • Research progress and challenges of data-driven quantitative remote sensing, 2022, National Remote Sensing Bulletin
  • Ada4DIR: An adaptive model-driven all-in-one image restoration network for remote sensing images, 2025, Information Fusion

Frequent co-authors collaborating with Liangpei Zhang are:

  • Tongwen Li
  • Qiangqiang Yuan
  • Yichu Xu
  • Di Wang
  • Lefei Zhang

The scholar has published multiple papers in venues such as:

  • arXiv (Cornell University)
  • Polymer
  • Nature Communications
  • Neural Networks
  • National Remote Sensing Bulletin

Award recognition includes being named an IEEE Fellow in 2019 for contributions to image processing of remote sensing data.

Best Publications

  • DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

    Gui-Song Xia;Xiang Bai;Jian Ding;Zhen Zhu

  • Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Deep learning in remote sensing: a review

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

    Liangpei Zhang;Lefei Zhang;Bo Du

  • AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • Deep learning in environmental remote sensing: Achievements and challenges

    Qiangqiang Yuan;Huanfeng Shen;Tongwen Li;Zhiwei Li

  • Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

    Fan Hu;Gui-Song Xia;Jingwen Hu;Liangpei Zhang

  • Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

    Hongyan Zhang;Wei He;Liangpei Zhang;Huanfeng Shen

  • Land-cover classification with high-resolution remote sensing images using transferable deep models

    Xin-Yi Tong;Gui-Song Xia;Qikai Lu;Huanfeng Shen

  • Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration

    Wei He;Hongyan Zhang;Liangpei Zhang;Huanfeng Shen

  • Hyperspectral Image Denoising Employing a Spectral–Spatial Adaptive Total Variation Model

    Qiangqiang Yuan;Liangpei Zhang;Huanfeng Shen

  • Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

    Unknown

  • Image super-resolution

    Linwei Yue;Huanfeng Shen;Jie Li;Qiangqiang Yuan

  • Saliency-Guided Unsupervised Feature Learning for Scene Classification

    Fan Zhang;Bo Du;Liangpei Zhang

  • A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection

    Qian Shi;Mengxi Liu;Shengchen Li;Xiaoping Liu

  • A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening

    Qiangqiang Yuan;Yancong Wei;Xiangchao Meng;Huanfeng Shen

  • Estimating Ground-Level PM2.5 by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach

    Tongwen Li;Huanfeng Shen;Qiangqiang Yuan;Xuechen Zhang

  • Missing Information Reconstruction of Remote Sensing Data: A Technical Review

    Huanfeng Shen;Xinghua Li;Qing Cheng;Chao Zeng

  • An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery

    Xin Huang;Liangpei Zhang

  • Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network

    Yancong Wei;Qiangqiang Yuan;Huanfeng Shen;Liangpei Zhang

  • On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification

    Lefei Zhang;Liangpei Zhang;Dacheng Tao;Xin Huang

  • Scene Classification via a Gradient Boosting Random Convolutional Network Framework

    Fan Zhang;Bo Du;Liangpei Zhang

  • Stacked Convolutional Denoising Auto-Encoders for Feature Representation

    Bo Du;Wei Xiong;Jia Wu;Lefei Zhang

Frequent Co-Authors

Huanfeng Shen
Huanfeng Shen Wuhan University
Bo Du
Bo Du Wuhan University
Yanfei Zhong
Yanfei Zhong Wuhan University
Qiangqiang Yuan
Qiangqiang Yuan Wuhan University
Pingxiang Li
Pingxiang Li Wuhan University
Gui-Song Xia
Gui-Song Xia Wuhan University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Lefei Zhang
Lefei Zhang Wuhan University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Wei Gong
Wei Gong Wuhan University

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