World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
21508
World Ranking
1769
National Ranking
242

Wei-Shi Zheng 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 Wei-Shi Zheng 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: 332 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Wei-Shi Zheng 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 Wei-Shi Zheng 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: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Wei-Shi Zheng is affiliated with Sun Yat-sen University in China and has contributed extensively to the field of computer science, particularly within computer vision and pattern recognition. Their research spans several subfields including artificial intelligence, biomedical engineering, radiology, nuclear medicine and imaging, as well as control and systems engineering.

The scientist's notable recent papers include:

  • DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition, 2023, IEEE Transactions on Multimedia
  • Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • RGB-IR Person Re-identification by Cross-Modality Similarity Preservation, 2020, International Journal of Computer Vision
  • Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Layer-by-layer coating of carboxymethyl chitosan-gelatin-alginate on cotton gauze for hemostasis and wound healing, 2020, Surface and Coatings Technology

Key topics addressed in their body of work include:

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

Wei-Shi Zheng has published extensively in the following venues:

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

Frequent collaborators include:

  • Ruixuan Wang
  • Kun-Yu Lin
  • Ancong Wu
  • Jianhuang Lai
  • Jingke Meng

Wei-Shi Zheng has contributed to 12 book publications under Springer Science+Business Media, all titled "Pattern Recognition and Computer Vision" in 2023.

Their research focuses heavily on the development and application of advanced techniques in machine learning and computer vision, with particular emphasis on recognition, surveillance, and image classification methodologies.

Best Publications

  • Underexposed Photo Enhancement Using Deep Illumination Estimation

    Ruixing Wang;Qing Zhang;Chi-Wing Fu;Xiaoyong Shen

  • Person re-identification by probabilistic relative distance comparison

    Wei-Shi Zheng;Shaogang Gong;Tao Xiang

  • Reidentification by Relative Distance Comparison

    Wei-Shi Zheng;Shaogang Gong;Tao Xiang

  • Person Re-Identification by Support Vector Ranking

    Bryan James Prosser;Wei-Shi Zheng;Shaogang Gong;Tao Xiang

  • RGB-Infrared Cross-Modality Person Re-identification

    Ancong Wu;Wei-Shi Zheng;Hong-Xing Yu;Shaogang Gong

  • Maximum Correntropy Criterion for Robust Face Recognition

    Ran He;Wei-Shi Zheng;Bao-Gang Hu

  • Associating Groups of People

    Wei-Shi Zheng;Shaogang Gong;Tao Xiang

  • Jointly learning heterogeneous features for RGB-D activity recognition

    Jian-Fang Hu;Wei-Shi Zheng;Jianhuang Lai;Jianguo Zhang

  • Unsupervised Person Re-Identification by Soft Multilabel Learning

    Hong-Xing Yu;Wei-Shi Zheng;Ancong Wu;Xiaowei Guo

  • Robust Principal Component Analysis Based on Maximum Correntropy Criterion

    Ran He;Bao-Gang Hu;Wei-Shi Zheng;Xiang-Wei Kong

  • Person Re-Identification by Camera Correlation Aware Feature Augmentation

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

  • Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation

    Ran He;Wei-Shi Zheng;Tieniu Tan;Zhenan Sun

  • Embedding Deep Metric for Person Re-identification: A Study Against Large Variations

    Hailin Shi;Yang Yang;Xiangyu Zhu;Shengcai Liao

  • Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification

    Hong-Xing Yu;Ancong Wu;Wei-Shi Zheng

  • Squeeze-and-Attention Networks for Semantic Segmentation

    Zilong Zhong;Zhong Qiu Lin;Rene Bidart;Xiaodan Hu

  • Partial Person Re-Identification

    Wei-Shi Zheng;Xiang Li;Tao Xiang;Shengcai Liao

  • An enhanced deep feature representation for person re-identification

    Shangxuan Wu;Ying-Cong Chen;Xiang Li;An-Cong Wu

  • MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection

    Jia-Chang Feng;Fa-Ting Hong;Wei-Shi Zheng

  • Top-Push Video-Based Person Re-identification

    Jinjie You;Ancong Wu;Xiang Li;Wei-Shi Zheng

  • Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images.

    Hongwei Li;Gongfa Jiang;Jianguo Zhang;Ruixuan Wang

  • Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification

    Qize Yang;Hong-Xing Yu;Ancong Wu;Wei-Shi Zheng

  • Embedding Deep Metric for Person Re-identication A Study Against Large Variations

    Hailin Shi;Yang Yang;Xiangyu Zhu;Shengcai Liao

Frequent Co-Authors

Jianhuang Lai
Jianhuang Lai Sun Yat-sen University
Shaogang Gong
Shaogang Gong Queen Mary University of London
Jianguo Zhang
Jianguo Zhang Southern University of Science and Technology
Ran He
Ran He Chinese Academy of Sciences
Pong C. Yuen
Pong C. Yuen Hong Kong Baptist University
Qing Zhang
Qing Zhang Nanyang Technological University
Bao-Gang Hu
Bao-Gang Hu Chinese Academy of Sciences
Stan Z. Li
Stan Z. Li Westlake University
Feiyue Huang
Feiyue Huang Tencent (China)
Meng Yang
Meng Yang Sun Yat-sen University

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