Liangpei Zhang

64.9k citations
845 papers · 50.7k · 39 hit papers · h-index 119

Impact in

Papers in

Liangpei Zhang

834 papers receiving 49.6k citations

Liangpei Zhang's Hit Papers

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model 2025 · 34 citations
340+1+3Years since publication100200300400

Peers

Liangpei Zhang
Comparison fields: 5 of 198
  • Media Technology 31.4k
  • Computer Vision and Pattern Recognition 20.4k
  • Atmospheric Science 15.4k
  • Computational Mathematics 280
  • Environmental Engineering 6.3k
Replace Jocelyn Chanussot with:
Jocelyn Chanussot France
Antonio Plaza Spain
Jón Atli Benediktsson Iceland
Lorenzo Bruzzone Italy
Qian Du United States
Licheng Jiao China
Bo Du China
Huanfeng Shen China
Gustau Camps‐Valls Spain
Wei Li China
Liangpei Zhang relative to Jocelyn Chanussot France Jocelyn Chanussot's profile →
Citations per field
00.5×3.0×
Jocelyn Chanussot · 1×
Citations per year

Countries citing papers authored by Liangpei Zhang

Since Specialization
Citations

This map shows the geographic impact of Liangpei Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Liangpei Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangpei Zhang more than expected).

Fields of papers citing papers by Liangpei Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liangpei Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Liangpei Zhang. The network helps show where Liangpei Zhang may publish in the future.

Co-authors

The 25 scholars most cited alongside Liangpei Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liangpei Zhang Line = papers co-authored together Liangpei Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 845 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
Hit paper breakdown →
20182184
2
Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
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20161719
3
Deep learning in environmental remote sensing: Achievements and challenges
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20201213
4
Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
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2015982
5
Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration
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2015525
6
A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection
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2021500
7
A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening
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2018494
8
Hyperspectral Image Denoising Employing a Spectral–Spatial Adaptive Total Variation Model
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2012482
9
Missing Information Reconstruction of Remote Sensing Data: A Technical Review
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2015426
10
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF
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2020405
11
Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities
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2022403
12
Hyperspectral Image Denoising Employing a Spatial–Spectral Deep Residual Convolutional Neural Network
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2018390
13
An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery
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2012385
14
Image super-resolution: The techniques, applications, and future
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2016383
15
On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification
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2011354
16
Stacked Convolutional Denoising Auto-Encoders for Feature Representation
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2016332
17 2011326
18
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters
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2021322
19 2015314
20
Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery
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2016309

About Liangpei Zhang

Liangpei Zhang is a scholar working on Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Ecology and Environmental Engineering, having authored 845 papers that have together received 50.7k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (526 papers), Remote Sensing and Land Use (318 papers), Advanced Image Fusion Techniques (232 papers), Remote Sensing in Agriculture (130 papers), Advanced Image and Video Retrieval Techniques (110 papers), Image and Signal Denoising Methods (108 papers), Advanced Image Processing Techniques (62 papers) and Image Retrieval and Classification Techniques (47 papers). The work is most often cited by research in Media Technology (31.4k citations), Computer Vision and Pattern Recognition (20.4k citations), Atmospheric Science (15.4k citations), Computational Mathematics (280 citations) and Environmental Engineering (6.3k citations). Liangpei Zhang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Bo Du, Huanfeng Shen, Yanfei Zhong, Xin Huang, Lefei Zhang, Qiangqiang Yuan, Hongyan Zhang, Gui-Song Xia, Pingxiang Li and Dacheng Tao. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters and Remote Sensing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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