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D-Index
45
Citations
12765
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435
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17

Computer Science

D-Index
47
Citations
14876
World Ranking
6325
National Ranking
377

Xiatian Zhu 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 Xiatian Zhu 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: 106 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Xiatian Zhu 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 Xiatian Zhu 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Xiatian Zhu is affiliated with the University of Surrey in the United Kingdom. Their research contributions are primarily within the field of Computer Science, focusing extensively on Computer Vision and Pattern Recognition as well as Artificial Intelligence.

The scientist has published scholarly work in a variety of prominent venues. Frequent publication sources include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition
  • International Journal of Computer Vision
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Among recent papers associated with their research interests are:

  • "Multimodal Learning With Transformers: A Survey" (2023), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers" (2020), arXiv (Cornell University)
  • "Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer" (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer" (2023), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Semi-Supervised and Unsupervised Deep Visual Learning: A Survey" (2022), IEEE Transactions on Pattern Analysis and Machine Intelligence

The main topics researched by Xiatian Zhu cover a broad range of areas within machine learning and computer vision, such as:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications
  • Anomaly Detection Techniques and Applications
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging

Collaborations have been an important aspect of their academic activity. Frequent co-authors include:

  • Tao Xiang
  • Yi-Zhe Song
  • Mao Ye
  • Sauradip Nag
  • Brais Martínez

Best Publications

  • Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

    Sixiao Zheng;Jiachen Lu;Hengshuang Zhao;Xiatian Zhu

  • Harmonious Attention Network for Person Re-identification

    Wei Li;Xiatian Zhu;Shaogang Gong

  • Person re-identification by video ranking

    Taiqing Wang;Shaogang Gong;Xiatian Zhu;Shengjin Wang

  • Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification

    Jingya Wang;Xiatian Zhu;Shaogang Gong;Wei Li

  • Distribution-Aware Coordinate Representation for Human Pose Estimation

    Feng Zhang;Xiatian Zhu;Hanbin Dai;Mao Ye

  • Person Re-Identification by Deep Joint Learning of Multi-Loss Classification

    Wei Li;Xiatian Zhu;Shaogang Gong

  • Person Re-identification by Deep Learning Multi-scale Representations

    Yanbei Chen;Xiatian Zhu;Shaogang Gong

  • Imbalanced Deep Learning by Minority Class Incremental Rectification

    Qi Dong;Shaogang Gong;Xiatian Zhu

  • Knowledge Distillation by On-the-Fly Native Ensemble

    xu lan;Xiatian Zhu;Shaogang Gong

  • Person Re-Identification by Camera Correlation Aware Feature Augmentation

    Ying-Cong Chen;Xiatian Zhu;Wei-Shi Zheng;Jian-Huang Lai

  • Fast Human Pose Estimation

    Feng Zhang;Xiatian Zhu;Mao Ye

  • Person Re-Identification by Discriminative Selection in Video Ranking

    Taiqing Wang;Shaogang Gong;Xiatian Zhu;Shengjin Wang

  • Incremental Few-Shot Object Detection

    Juan-Manuel Perez-Rua;Xiatian Zhu;Timothy M. Hospedales;Tao Xiang

  • Unsupervised Person Re-identification by Deep Learning Tracklet Association

    Minxian Li;Minxian Li;Xiatian Zhu;Shaogang Gong

  • Class Rectification Hard Mining for Imbalanced Deep Learning

    Qi Dong;Shaogang Gong;Xiatian Zhu

  • Instance-Guided Context Rendering for Cross-Domain Person Re-Identification

    Yanbei Chen;Xiatian Zhu;Shaogang Gong

  • Simpler Is Better: Few-Shot Semantic Segmentation With Classifier Weight Transformer

    Zhihe Lu;Sen He;Xiatian Zhu;Li Zhang

  • Semi-Supervised and Unsupervised Deep Visual Learning: A Survey

    Unknown

  • Unsupervised Tracklet Person Re-Identification

    Minxian Li;Xiatian Zhu;Shaogang Gong

  • Stochastic Classifiers for Unsupervised Domain Adaptation

    Zhihe Lu;Yongxin Yang;Xiatian Zhu;Cong Liu

  • Unsupervised Deep Learning by Neighbourhood Discovery

    Jiabo Huang;Qi Dong;Shaogang Gong;Xiatian Zhu

Frequent Co-Authors

Shaogang Gong
Shaogang Gong Queen Mary University of London
Chen Change Loy
Chen Change Loy Nanyang Technological University
Vittorio Murino
Vittorio Murino University of Verona
Bernard Ghanem
Bernard Ghanem King Abdullah University of Science and Technology
Wei-Shi Zheng
Wei-Shi Zheng Sun Yat-sen University
Shengjin Wang
Shengjin Wang Tsinghua University
Yi-Zhe Song
Yi-Zhe Song University of Surrey
Timothy M. Hospedales
Timothy M. Hospedales University of Edinburgh
Jianfeng Feng
Jianfeng Feng Fudan University
Hengshuang Zhao
Hengshuang Zhao University of Hong Kong

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