2026 Xiaoqiang Lu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	65	2445	2368	331	328	195	18182

Overview

Xiaoqiang Lu is affiliated with the Chinese Academy of Sciences in China. Their research primarily focuses on areas within computer science and engineering, concentrating on both foundational and applied topics in remote sensing and image processing.

Their scholarly contributions center around several main and subfields of study which include:

Computer Science
Engineering
Computer Vision and Pattern Recognition
Media Technology
Atmospheric Science
Materials Chemistry
Artificial Intelligence

The principal topics covered in their research are:

Remote-Sensing Image Classification
Advanced Image and Video Retrieval Techniques
Remote Sensing and Land Use
Advanced Image Fusion Techniques
Ga2O3 and related materials
Image Retrieval and Classification Techniques
Video Surveillance and Tracking Methods

Xiaoqiang Lu has authored multiple papers, some of which include:

Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification, 2020, IEEE Transactions on Geoscience and Remote Sensing
A Supervised Segmentation Network for Hyperspectral Image Classification, 2021, IEEE Transactions on Image Processing
Rotation-Invariant Attention Network for Hyperspectral Image Classification, 2022, IEEE Transactions on Image Processing
Mutual Attention Inception Network for Remote Sensing Visual Question Answering, 2021, IEEE Transactions on Geoscience and Remote Sensing
Reconstructive Sequence-Graph Network for Video Summarization, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

The publication venues where Xiaoqiang Lu frequently publishes include:

IEEE Transactions on Geoscience and Remote Sensing
IEEE Geoscience and Remote Sensing Letters
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Transactions on Image Processing
Neurocomputing

The scientist often collaborates with a number of co-authors, with frequent collaborators being:

Xiangtao Zheng
Yaxiong Chen
Shengwu Xiong
Haizhong Zhang
Min Zhu

Best Publications

Remote Sensing Image Scene Classification: Benchmark and State of the Art

Gong Cheng;Junwei Han;Xiaoqiang Lu

2642
Citations
AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

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

1824
Citations
Exploring Models and Data for Remote Sensing Image Caption Generation

Xiaoqiang Lu;Binqiang Wang;Xiangtao Zheng;Xuelong Li

828
Citations
Manifold Regularized Sparse NMF for Hyperspectral Unmixing

Xiaoqiang Lu;Hao Wu;Yuan Yuan;Pingkun Yan

421
Citations
Spectral–Spatial Attention Network for Hyperspectral Image Classification

Hao Sun;Xiangtao Zheng;Xiaoqiang Lu;Siyuan Wu

373
Citations
Graph-Regularized Low-Rank Representation for Destriping of Hyperspectral Images

Xiaoqiang Lu;Yulong Wang;Yuan Yuan

352
Citations
Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection

Yuanlin Zhang;Yuan Yuan;Yachuang Feng;Xiaoqiang Lu

326
Citations
Deep semantic understanding of high resolution remote sensing image

Bo Qu;Xuelong Li;Dacheng Tao;Xiaoqiang Lu

286
Citations
Remote Sensing Scene Classification by Unsupervised Representation Learning

Xiaoqiang Lu;Xiangtao Zheng;Yuan Yuan

278
Citations
Hyperspectral Image Superresolution by Transfer Learning

Yuan Yuan;Xiangtao Zheng;Xiaoqiang Lu

269
Citations
Spectral-Spatial Attention Networks for Hyperspectral Image Classification

Xiaoguang Mei;Erting Pan;Yong Ma;Xiaobing Dai

260
Citations
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification

Lichao Mou;Xiaoqiang Lu;Xuelong Li;Xiao Xiang Zhu

254
Citations
ViT-YOLO:Transformer-Based YOLO for Object Detection

Zixiao Zhang;Xiaoqiang Lu;Guojin Cao;Yuting Yang

251
Citations
Rotation-Invariant Attention Network for Hyperspectral Image Classification

Unknown

249
Citations
VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results

Yaru Cao;Zhijian He;Lujia Wang;Wenguan Wang

246
Citations
Scene Recognition by Manifold Regularized Deep Learning Architecture

Yuan Yuan;Lichao Mou;Xiaoqiang Lu

231
Citations
HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization

Bin Zhao;Xuelong Li;Xiaoqiang Lu

227
Citations
Remote Sensing Scene Classification by Gated Bidirectional Network

Hao Sun;Siyuan Li;Xiangtao Zheng;Xiaoqiang Lu

218
Citations
A Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Classification

Xiaoqiang Lu;Hao Sun;Xiangtao Zheng

209
Citations
Learning deep event models for crowd anomaly detection

Yachuang Feng;Yuan Yuan;Xiaoqiang Lu

205
Citations
Semi-Supervised Multitask Learning for Scene Recognition

Xiaoqiang Lu;Xuelong Li;Lichao Mou

194
Citations
Discovering Diverse Subset for Unsupervised Hyperspectral Band Selection

Yuan Yuan;Xiangtao Zheng;Xiaoqiang Lu

192
Citations
Hierarchical Recurrent Neural Network for Video Summarization

Bin Zhao;Xuelong Li;Xiaoqiang Lu

172
Citations

Frequent Co-Authors

Yuan Yuan Huawei Technologies (China)

Xuelong Li China Telecom (China)

Pingkun Yan Rensselaer Polytechnic Institute

Lichao Mou Technical University of Munich

Junwei Han Northwestern Polytechnical University

Gong Cheng Northwestern Polytechnical University

Liangpei Zhang Wuhan University

Qian Du Mississippi State University

Guanglin Li Chinese Academy of Sciences

Li-Yang Shao Southern University of Science and Technology

External Links

Google Scholar page

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