World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
13210
World Ranking
3440
National Ranking
462

Zhaoxiang 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 Zhaoxiang 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: 301 publications — 74th percentile

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

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

Zhaoxiang 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 Zhaoxiang 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Zhaoxiang Zhang is affiliated with the Chinese Academy of Sciences in China and has an extensive research record primarily in Computer Science and Engineering. Their work focuses on several subfields, such as Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging, and Media Technology.

The scientist's research covers multiple main topics, including:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Robotics and Sensor-Based Localization
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging

Zhaoxiang Zhang has contributed publications to various venues, frequently publishing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition

Recent papers authored by Zhaoxiang Zhang include:

  • RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • The Devil Is in the Details: Window-based Attention for Image Compression, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Sparse Instance Activation for Real-Time Instance Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Common collaborators with Zhaoxiang Zhang include:

  • Junsong Fan
  • Yuxi Wang
  • Lue Fan
  • Naiyan Wang
  • Junran Peng

Zhaoxiang Zhang has also published book-length works, including a title with Springer Nature: "Unsupervised Computer Vision for Aerospace Systems," scheduled for 2025.

Best Publications

  • Scale-Aware Trident Networks for Object Detection

    Yanghao Li;Yuntao Chen;Naiyan Wang;Zhao-Xiang Zhang

  • Estimating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection

    Min Li;Zhaoxiang Zhang;Kaiqi Huang;Tieniu Tan

  • Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression

    Zigang Geng;Ke Sun;Bin Xiao;Zhaoxiang Zhang

  • GIFT: A Real-Time and Scalable 3D Shape Search Engine

    Song Bai;Xiang Bai;Zhichao Zhou;Zhaoxiang Zhang

  • BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision

    Unknown

  • Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition

    Jinpeng Li;Zhaoxiang Zhang;Huiguang He

  • The Devil Is in the Details: Window-based Attention for Image Compression

    Unknown

  • Context-Aware Attention Network for Image-Text Retrieval

    Qi Zhang;Zhen Lei;Zhaoxiang Zhang;Stan Z. Li

  • Sequence Level Semantics Aggregation for Video Object Detection

    Haiping Wu;Yuntao Chen;Naiyan Wang;Zhao-Xiang Zhang

  • RangeDet: In Defense of Range View for LiDAR-Based 3D Object Detection

    Lue Fan;Xuan Xiong;Feng Wang;Naiyan Wang

  • Sparse Instance Activation for Real-Time Instance Segmentation

    Unknown

  • CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation

    Junsong Fan;Zhaoxiang Zhang;Tieniu Tan;Chunfeng Song

  • Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation

    Junsong Fan;Zhaoxiang Zhang;Chunfeng Song;Tieniu Tan

  • DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer.

    Yuntao Chen;Naiyan Wang;Zhaoxiang Zhang

  • Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles

    Zhaoxiang Zhang;Tieniu Tan;Kaiqi Huang;Yunhong Wang

  • Spectral Feature Transformation for Person Re-Identification

    Chuanchen Luo;Yuntao Chen;Naiyan Wang;Zhao-Xiang Zhang

  • Hard-Aware Point-to-Set Deep Metric for Person Re-identification

    Rui Yu;Zhiyong Dou;Song Bai;Zhaoxiang Zhang

  • Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking

    Jiawei He;Zehao Huang;Naiyan Wang;Zhaoxiang Zhang

  • View-Invariant Discriminative Projection for Multi-View Gait-Based Human Identification

    Maodi Hu;Yunhong Wang;Zhaoxiang Zhang;James J. Little

  • Image Inpainting by End-to-End Cascaded Refinement With Mask Awareness

    Manyu Zhu;Dongliang He;Xin Li;Chao Li

  • Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification

    Yan Huang;Jingsong Xu;Qiang Wu;Zhedong Zheng

  • Incremental Learning for Video-Based Gait Recognition With LBP Flow

    Maodi Hu;Yunhong Wang;Zhaoxiang Zhang;De Zhang

  • Crowd counting in public video surveillance by label distribution learning

    Zhaoxiang Zhang;Mo Wang;Xin Geng

  • Rapid and robust human detection and tracking based on omega-shape features

    Min Li;Zhaoxiang Zhang;Kaiqi Huang;Tieniu Tan

  • Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification

    Yan Huang;Jinsong Xu;Qiang Wu;Zhedong Zheng

Frequent Co-Authors

Yunhong Wang
Yunhong Wang Beihang University
Tieniu Tan
Tieniu Tan Chinese Academy of Sciences
Naiyan Wang
Naiyan Wang Hong Kong University of Science and Technology
Kaiqi Huang
Kaiqi Huang Chinese Academy of Sciences
Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Jingdong Wang
Jingdong Wang Baidu (China)
Junjie Yan
Junjie Yan SenseTime
Di Huang
Di Huang Beihang University
Xiaolin Hu
Xiaolin Hu Tsinghua University
Song Bai
Song Bai ByteDance

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