World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
78
Citations
40734
World Ranking
1166
National Ranking
163

Weiming Hu 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 Weiming Hu 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: 382 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Weiming Hu 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 Weiming Hu 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: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Weiming Hu is a researcher affiliated with the Chinese Academy of Sciences in China. Their work primarily spans the field of computer science, with a specialized focus on computer vision and pattern recognition. Within this main domain, they have contributed to research in artificial intelligence, media technology, radiology, nuclear medicine and imaging, as well as aerospace engineering.

The research topics addressed by Weiming Hu include:

  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Video Analysis and Summarization

Weiming Hu has co-authored numerous publications with several frequent collaborators. These co-authors include:

  • Bing Li
  • Chunfeng Yuan
  • Chen Li
  • Marcin Grzegorzek
  • Congxuan Zhang

The researcher's work has appeared in a variety of scientific venues. The most common publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among recent papers authored or co-authored by Weiming Hu are:

  • "Rethinking the Competition Between Detection and ReID in Multiobject Tracking," 2022, IEEE Transactions on Image Processing
  • "Learn to Match: Automatic Matching Network Design for Visual Tracking," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection," 2022, Pattern Recognition
  • "3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition," 2021, IEEE Journal of Biomedical and Health Informatics
  • "CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron," 2022, Pattern Recognition

Best Publications

  • A survey on visual surveillance of object motion and behaviors

    Weiming Hu;Tieniu Tan;Liang Wang;S. Maybank

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • Silhouette analysis-based gait recognition for human identification

    Liang Wang;Tieniu Tan;Huazhong Ning;Weiming Hu

  • Fast Online Object Tracking and Segmentation: A Unifying Approach

    Qiang Wang;Li Zhang;Luca Bertinetto;Weiming Hu

  • Distractor-aware Siamese Networks for Visual Object Tracking

    Zheng Zhu;Qiang Wang;Bo Li;Wei Wu

  • Recent developments in human motion analysis

    Liang Wang;Weiming Hu;Tieniu Tan

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • A survey of appearance models in visual object tracking

    Xi Li;Weiming Hu;Chunhua Shen;Zhongfei Zhang

  • Channel-Wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

    Yuxin Chen;Ziqi Zhang;Chunfeng Yuan;Bing Li

  • A Survey on Visual Content-Based Video Indexing and Retrieval

    Weiming Hu;Nianhua Xie;Li Li;Xianglin Zeng

  • Ocean: Object-aware Anchor-free Tracking

    Zhipeng Zhang;Houwen Peng;Jianlong Fu;Bing Li

  • A system for learning statistical motion patterns

    Weiming Hu;Xuejuan Xiao;Zhouyu Fu;D. Xie

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • RGBD Salient Object Detection: A Benchmark and Algorithms

    Houwen Peng;Bing Li;Weihua Xiong;Weiming Hu

  • Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking

    Qiang Wang;Zhu Teng;Junliang Xing;Jin Gao

  • Fusion of static and dynamic body biometrics for gait recognition

    Liang Wang;Huazhong Ning;Tieniu Tan;Weiming Hu

  • Transfer Learning Based Visual Tracking with Gaussian Processes Regression

    Jin Gao;Haibin Ling;Weiming Hu;Junliang Xing

  • AdaBoost-Based Algorithm for Network Intrusion Detection

    Weiming Hu;Wei Hu;S. Maybank

  • Fusion of static and dynamic body biometrics for gait recognition

    Liang Wang;Huazhong Ning;Tieniu Tan;Weiming Hu

Frequent Co-Authors

Stephen J. Maybank
Stephen J. Maybank Birkbeck, University of London
Junliang Xing
Junliang Xing Tsinghua University
Xi Li
Xi Li Zhejiang University
Tieniu Tan
Tieniu Tan Chinese Academy of Sciences
Haibin Ling
Haibin Ling Westlake University
Zhongfei Zhang
Zhongfei Zhang Binghamton University
Wenhan Luo
Wenhan Luo Hong Kong University of Science and Technology
Hanzi Wang
Hanzi Wang Xiamen University
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Wanqing Li
Wanqing Li University of Wollongong

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