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Xiangrong Zhang

Xiangrong Zhang

D-Index & Metrics

Computer Science

D-Index
57
Citations
10258
World Ranking
3903
National Ranking
522

Overview

Xiangrong Zhang is affiliated with Xidian University in China and specializes in research intersecting the fields of Engineering and Computer Science. Their extensive scholarly output comprises over 200 publications, with significant focus areas including Computer Vision and Pattern Recognition, Media Technology, Atmospheric Science, Artificial Intelligence, and Cognitive Neuroscience.

The scientist's work covers key topics such as Remote-Sensing Image Classification, Advanced Image and Video Retrieval Techniques, Remote Sensing and Land Use, Advanced Image Fusion Techniques, Functional Brain Connectivity Studies, Advanced Neural Network Applications, and Domain Adaptation and Few-Shot Learning.

Among recent notable publications by Xiangrong Zhang are:

  • Deep learning based brain tumor segmentation: a survey (2022) published in Complex & Intelligent Systems
  • Attention Consistent Network for Remote Sensing Scene Classification (2021) published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network (2020) published in IEEE Transactions on Geoscience and Remote Sensing
  • An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric Learning (2021) published in IEEE Transactions on Geoscience and Remote Sensing
  • EMTCAL: Efficient Multiscale Transformer and Cross-Level Attention Learning for Remote Sensing Scene Classification (2022) published in IEEE Transactions on Geoscience and Remote Sensing

Xiangrong Zhang frequently publishes in several academic venues, primarily:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing
  • arXiv (Cornell University)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Transactions on Neural Networks and Learning Systems

The scientist collaborates with multiple coauthors, including:

  • Licheng Jiao (132 joint works)
  • Xu Tang (71 joint works)
  • Jie Feng (27 joint works)
  • Fang Liu (23 joint works)
  • Puhua Chen (23 joint works)

Best Publications

  • Deep Learning Based Brain Tumor Segmentation: A Survey.

    Zhihua Liu;Long Chen;Lei Tong;Feixiang Zhou

  • Spectral Clustering Ensemble Applied to SAR Image Segmentation

    Xiangrong Zhang;Licheng Jiao;Fang Liu;Liefeng Bo

  • Double-Branch Multi-Attention Mechanism Network for Hyperspectral Image Classification

    Wenping Ma;Qifan Yang;Yue Wu;Wei Zhao

  • Using Combined Difference Image and $k$ -Means Clustering for SAR Image Change Detection

    Yaoguo Zheng;Xiangrong Zhang;Biao Hou;Ganchao Liu

  • Hyperspectral Unmixing via Deep Convolutional Neural Networks

    Xiangrong Zhang;Yujia Sun;Jingyan Zhang;Peng Wu

  • Quantum-Inspired Immune Clonal Algorithm for Global Optimization

    Licheng Jiao;Yangyang Li;Maoguo Gong;Xiangrong Zhang

  • Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification

    Xiangrong Zhang;Yujia Sun;Kai Jiang;Chen Li

  • Targeting MDM2-p53 interaction for cancer therapy: are we there yet?

    S. Nag;X. Zhang;K.S. Srivenugopal;M.-H. Wang

  • Hyperspectral Band Selection Based on Trivariate Mutual Information and Clonal Selection

    Jie Feng;L. C. Jiao;Xiangrong Zhang;Tao Sun

  • Attention Consistent Network for Remote Sensing Scene Classification

    Xu Tang;Qiushuo Ma;Xiangrong Zhang;Fang Liu

  • EMTCAL: Efficient Multiscale Transformer and Cross-Level Attention Learning for Remote Sensing Scene Classification

    Unknown

  • Mutual-Information-Based Semi-Supervised Hyperspectral Band Selection With High Discrimination, High Information, and Low Redundancy

    Jie Feng;Licheng Jiao;Fang Liu;Tao Sun

  • Classification of Hyperspectral Images Based on Multiclass Spatial–Spectral Generative Adversarial Networks

    Jie Feng;Haipeng Yu;Lin Wang;Xianghai Cao

  • Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images

    Jie Feng;Licheng Jiao;Fang Liu;Tao Sun

  • Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network

    Xu Tang;Fanbo Meng;Xiangrong Zhang;Yiu-Ming Cheung

  • Hyperspectral Anomaly Detection via Background and Potential Anomaly Dictionaries Construction

    Ning Huyan;Xiangrong Zhang;Huiyu Zhou;Licheng Jiao

  • An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric Learning

    Xu Tang;Huayu Zhang;Lichao Mou;Fang Liu

  • Description Generation for Remote Sensing Images Using Attribute Attention Mechanism

    Xiangrong Zhang;Xin Wang;Xu Tang;Huiyu Zhou

  • Generalized few-shot object detection in remote sensing images

    Unknown

  • Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification.

    Unknown

  • Deep Hash Learning for Remote Sensing Image Retrieval

    Chao Liu;Jingjing Ma;Xu Tang;Fang Liu

  • Unsupervised Deep Feature Learning for Remote Sensing Image Retrieval

    Xu Tang;Xiangrong Zhang;Fang Liu;Licheng Jiao

  • Bag-of-Visual-Words Based on Clonal Selection Algorithm for SAR Image Classification

    Jie Feng;L. C. Jiao;Xiangrong Zhang;Dongdong Yang

Frequent Co-Authors

Licheng Jiao
Licheng Jiao Xidian University
Biao Hou
Biao Hou Xidian University
Huiyu Zhou
Huiyu Zhou University of Leicester
Ronghua Shang
Ronghua Shang Xidian University
Shuyuan Yang
Shuyuan Yang Xidian University
Wenping Ma
Wenping Ma Xidian University
Maoguo Gong
Maoguo Gong Xidian University
Rustam Stolkin
Rustam Stolkin University of Birmingham
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Jie Li
Jie Li Shanghai Jiao Tong University

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