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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
93
Citations
37037
World Ranking
513
National Ranking
71

Tao Mei 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 Tao Mei 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: 493 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Tao Mei 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 Tao Mei 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: 93 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2019 - IEEE Fellow For contributions to multimedia analysis and applications
  • 2016 - ACM Distinguished Member
  • 2012 - ACM Senior Member

Overview

Tao Mei is a researcher affiliated with Jingdong in China. Their work primarily spans the field of computer science, with a strong focus on computer vision and pattern recognition.

The scientist's research includes significant contributions to the following subfields:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Civil and Structural Engineering
  • Media Technology

The main topics covered by Tao Mei include:

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

Tao Mei has authored numerous publications in several prominent venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent publications by Tao Mei include:

  • Contextual Transformer Networks for Visual Recognition, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Gait Recognition in the Wild with Dense 3D Representations and A Benchmark, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Mis-Classified Vector Guided Softmax Loss for Face Recognition, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • VehicleNet: Learning Robust Visual Representation for Vehicle Re-Identification, 2020, IEEE Transactions on Multimedia
  • CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Tao Mei has collaborated frequently with researchers such as Ting Yao, Yingwei Pan, Zhaofan Qiu, Wu Liu, and Yehao Li.

The researcher has also contributed to book publications, particularly with Springer Science+Business Media, with six books covering topics in pattern recognition and artificial intelligence.

Awards received by Tao Mei include:

  • IEEE Fellow (2019) for contributions to multimedia analysis and applications
  • ACM Distinguished Member (2016)
  • ACM Senior Member (2012)

Best Publications

  • Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

    Zhaofan Qiu;Ting Yao;Tao Mei

  • MSR-VTT: A Large Video Description Dataset for Bridging Video and Language

    Jun Xu;Tao Mei;Ting Yao;Yong Rui

  • Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition

    Jianlong Fu;Heliang Zheng;Tao Mei

  • Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition

    Heliang Zheng;Jianlong Fu;Tao Mei;Jiebo Luo

  • Exploring Visual Relationship for Image Captioning

    Ting Yao;Yingwei Pan;Yehao Li;Tao Mei

  • Boosting Image Captioning with Attributes

    Ting Yao;Yingwei Pan;Yehao Li;Zhaofan Qiu

  • Correlative multi-label video annotation

    Guo-Jun Qi;Xian-Sheng Hua;Yong Rui;Jinhui Tang

  • Contextual Transformer Networks for Visual Recognition

    Yehao Li;Ting Yao;Yingwei Pan;Tao Mei

  • Jointly Modeling Embedding and Translation to Bridge Video and Language

    Yingwei Pan;Tao Mei;Ting Yao;Houqiang Li

  • A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance

    Xinchen Liu;Wu Liu;Tao Mei;Huadong Ma

  • Multiview Spectral Embedding

    Tian Xia;Dacheng Tao;Tao Mei;Yongdong Zhang

  • Part-Aligned Bilinear Representations for Person Re-Identification

    Yumin Suh;Jingdong Wang;Siyu Tang;Tao Mei

  • Destruction and Construction Learning for Fine-Grained Image Recognition

    Yue Chen;Yalong Bai;Wei Zhang;Tao Mei

  • Subspace Clustering by Block Diagonal Representation

    Canyi Lu;Jiashi Feng;Zhouchen Lin;Tao Mei

  • PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance

    Xinchen Liu;Wu Liu;Tao Mei;Huadong Ma

  • Personalized Recommendation Combining User Interest and Social Circle

    Xueming Qian;He Feng;Guoshuai Zhao;Tao Mei

  • Fully Convolutional Adaptation Networks for Semantic Segmentation

    Yiheng Zhang;Zhaofan Qiu;Ting Yao;Dong Liu

  • Video Captioning with Transferred Semantic Attributes

    Yingwei Pan;Ting Yao;Houqiang Li;Tao Mei

  • Deep Collaborative Embedding for Social Image Understanding

    Zechao Li;Jinhui Tang;Tao Mei

  • Gaussian Temporal Awareness Networks for Action Localization

    Fuchen Long;Ting Yao;Zhaofan Qiu;Xinmei Tian

  • Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition (ICCV 2017 Oral)

    Heliang Zheng;Jianlong Fu;Tao Mei;Jiebo Luo

Frequent Co-Authors

Ting Yao
Ting Yao University of Science and Technology of China
Xian-Sheng Hua
Xian-Sheng Hua Terminus International
Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
Yingwei Pan
Yingwei Pan University of Science and Technology of China
Yong Rui
Yong Rui Lenovo (China)
Houqiang Li
Houqiang Li University of Science and Technology of China
Jiebo Luo
Jiebo Luo University of Rochester
Jianlong Fu
Jianlong Fu Microsoft (United States)
Jingdong Wang
Jingdong Wang Baidu (China)
Chong-Wah Ngo
Chong-Wah Ngo Singapore Management University

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