World's Best Scientists 2026 revealed!
Xiangrong Zhang

Xiangrong Zhang

D-Index & Metrics

Computer Science

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

Xiangrong Zhang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Xiangrong Zhang sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 294 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Xiangrong Zhang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Xiangrong Zhang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Fang Liu
Fang Liu Beihang University
Huiyu Zhou
Huiyu Zhou University of Leicester
Ronghua Shang
Ronghua Shang Xidian University
Wenping Ma
Wenping Ma Xidian University
Shuyuan Yang
Shuyuan Yang Xidian University
Maoguo Gong
Maoguo Gong Xidian University
Rustam Stolkin
Rustam Stolkin University of Birmingham
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University

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