World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
18182
World Ranking
2445
National Ranking
331

Xiaoqiang Lu 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 Xiaoqiang Lu 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: 195 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Xiaoqiang Lu 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 Xiaoqiang Lu 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: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

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

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

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

  • Exploring Models and Data for Remote Sensing Image Caption Generation

    Xiaoqiang Lu;Binqiang Wang;Xiangtao Zheng;Xuelong Li

  • Manifold Regularized Sparse NMF for Hyperspectral Unmixing

    Xiaoqiang Lu;Hao Wu;Yuan Yuan;Pingkun Yan

  • Spectral–Spatial Attention Network for Hyperspectral Image Classification

    Hao Sun;Xiangtao Zheng;Xiaoqiang Lu;Siyuan Wu

  • Graph-Regularized Low-Rank Representation for Destriping of Hyperspectral Images

    Xiaoqiang Lu;Yulong Wang;Yuan Yuan

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

    Yuanlin Zhang;Yuan Yuan;Yachuang Feng;Xiaoqiang Lu

  • Deep semantic understanding of high resolution remote sensing image

    Bo Qu;Xuelong Li;Dacheng Tao;Xiaoqiang Lu

  • Remote Sensing Scene Classification by Unsupervised Representation Learning

    Xiaoqiang Lu;Xiangtao Zheng;Yuan Yuan

  • Hyperspectral Image Superresolution by Transfer Learning

    Yuan Yuan;Xiangtao Zheng;Xiaoqiang Lu

  • Spectral-Spatial Attention Networks for Hyperspectral Image Classification

    Xiaoguang Mei;Erting Pan;Yong Ma;Xiaobing Dai

  • Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification

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

  • ViT-YOLO:Transformer-Based YOLO for Object Detection

    Zixiao Zhang;Xiaoqiang Lu;Guojin Cao;Yuting Yang

  • Rotation-Invariant Attention Network for Hyperspectral Image Classification

    Unknown

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

    Yaru Cao;Zhijian He;Lujia Wang;Wenguan Wang

  • Scene Recognition by Manifold Regularized Deep Learning Architecture

    Yuan Yuan;Lichao Mou;Xiaoqiang Lu

  • HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization

    Bin Zhao;Xuelong Li;Xiaoqiang Lu

  • Remote Sensing Scene Classification by Gated Bidirectional Network

    Hao Sun;Siyuan Li;Xiangtao Zheng;Xiaoqiang Lu

  • A Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Classification

    Xiaoqiang Lu;Hao Sun;Xiangtao Zheng

  • Learning deep event models for crowd anomaly detection

    Yachuang Feng;Yuan Yuan;Xiaoqiang Lu

  • Semi-Supervised Multitask Learning for Scene Recognition

    Xiaoqiang Lu;Xuelong Li;Lichao Mou

  • Discovering Diverse Subset for Unsupervised Hyperspectral Band Selection

    Yuan Yuan;Xiangtao Zheng;Xiaoqiang Lu

  • Hierarchical Recurrent Neural Network for Video Summarization

    Bin Zhao;Xuelong Li;Xiaoqiang Lu

Frequent Co-Authors

Yuan Yuan
Yuan Yuan Huawei Technologies (China)
Xuelong Li
Xuelong Li China Telecom (China)
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Lichao Mou
Lichao Mou Technical University of Munich
Junwei Han
Junwei Han Northwestern Polytechnical University
Gong Cheng
Gong Cheng Northwestern Polytechnical University
Liangpei Zhang
Liangpei Zhang Wuhan University
Qian Du
Qian Du Mississippi State University
Guanglin Li
Guanglin Li Chinese Academy of Sciences
Li-Yang Shao
Li-Yang Shao Southern University of Science and Technology

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