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Computer Science
Singapore
2026
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Australia
2023

D-Index & Metrics

Best Scientists

D-Index
166
Citations
110588
World Ranking
1004
National Ranking
8

Computer Science

D-Index
176
Citations
119918
World Ranking
13
National Ranking
1

Dacheng Tao 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 Dacheng Tao 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: 1,300 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Dacheng Tao 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 Dacheng Tao 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: 176 D-Index — 100th percentile

100% 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 Singapore Leader Award
  • 2025 - Research.com Computer Science in Singapore Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2019 - ACM Fellow For contributions to representation learning and its applications
  • 2017 - Australian Laureate Fellow
  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2016 - Member of Academia Europaea
  • 2013 - SPIE Fellow
  • 2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and image understanding

Overview

Dacheng Tao is affiliated with Nanyang Technological University in Singapore. Their research primarily falls within the field of Computer Science, with a focus on several key subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Electrical and Electronic Engineering, and Computational Mechanics.

The research topics covered extensively by Dacheng Tao include Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Advanced Neural Network Applications, Topic Modeling, Advanced Image and Video Retrieval Techniques, Human Pose and Action Recognition, and Natural Language Processing Techniques.

Frequent co-authors collaborating with Dacheng Tao are:

  • Jing Zhang
  • Liang Ding
  • Bo Du
  • Fengxiang He
  • Yibing Zhan

The scientist has published extensively in several notable venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Image Processing

Recent papers authored or co-authored by Dacheng Tao include:

  • Knowledge Distillation: A Survey, 2021, International Journal of Computer Vision
  • A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications, 2021, IEEE Transactions on Knowledge and Data Engineering
  • Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things, 2020, IEEE Internet of Things Journal
  • ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation, 2022, arXiv (Cornell University)
  • Heterogeneous Federated Learning: State-of-the-art and Research Challenges, 2023, ACM Computing Surveys

Dacheng Tao's work has been recognized by various professional and academic societies. Honors include:

  • ACM Fellow (2019) for contributions to representation learning and its applications
  • Fellow of the American Association for the Advancement of Science (AAAS) (2017)
  • Australian Laureate Fellow (2017)
  • Member of Academia Europaea (2016)
  • SPIE Fellow (2013)
  • Fellow of the International Association for Pattern Recognition (IAPR) (2012) for contributions to pattern recognition and image understanding

Best Publications

  • DehazeNet: An End-to-End System for Single Image Haze Removal

    Bolun Cai;Xiangmin Xu;Kui Jia;Chunmei Qing

  • Knowledge Distillation: A Survey

    Jianping Gou;Jianping Gou;Baosheng Yu;Stephen John Maybank;Dacheng Tao

  • Benchmarking Single-Image Dehazing and Beyond

    Boyi Li;Wenqi Ren;Dengpan Fu;Dacheng Tao

  • Deep Ordinal Regression Network for Monocular Depth Estimation

    Huan Fu;Mingming Gong;Chaohui Wang;Kayhan Batmanghelich

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • An Underwater Image Enhancement Benchmark Dataset and Beyond

    Chongyi Li;Chunle Guo;Wenqi Ren;Runmin Cong

  • General Tensor Discriminant Analysis and Gabor Features for Gait Recognition

    Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank

  • A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

    Jie Gui;Zhenan Sun;Yonggang Wen;Dacheng Tao

  • A Survey on Multi-view Learning

    Chang Xu;Dacheng Tao;Chao Xu

  • Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval

    Dacheng Tao;Xiaoou Tang;Xuelong Li;Xindong Wu

  • Deep Modular Co-Attention Networks for Visual Question Answering

    Zhou Yu;Jun Yu;Yuhao Cui;Dacheng Tao

  • A survey of graph edit distance

    Xinbo Gao;Bing Xiao;Dacheng Tao;Xuelong Li

  • Classification with Noisy Labels by Importance Reweighting

    Tongliang Liu;Dacheng Tao

  • Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering

    Zhou Yu;Jun Yu;Jianping Fan;Dacheng Tao

  • MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking

    Zhibin Hong;Zhe Chen;Chaohui Wang;Xue Mei

  • Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

    Jing Zhang;Dacheng Tao

  • Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

    Jun Cheng;Jiang Liu;Yanwu Xu;Fengshou Yin

  • GoDec: Randomized Low-rank & Sparse Matrix Decomposition in Noisy Case

    Tianyi Zhou;Dacheng Tao

  • Generalized Latent Multi-View Subspace Clustering

    Changqing Zhang;Huazhu Fu;Qinghua Hu;Xiaochun Cao

  • Geometric Mean for Subspace Selection

    Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank

  • Deep Domain Generalization via Conditional Invariant Adversarial Networks

    Ya Li;Xinmei Tian;Mingming Gong;Yajing Liu

Frequent Co-Authors

Xuelong Li
Xuelong Li China Telecom (China)
Xinbo Gao
Xinbo Gao Xidian University
Tongliang Liu
Tongliang Liu University of Sydney
Chang Xu
Chang Xu University of Sydney
Chao Xu
Chao Xu Peking University
Jun Yu
Jun Yu Hangzhou Dianzi University
Mingli Song
Mingli Song Zhejiang University
Lefei Zhang
Lefei Zhang Wuhan University
Cheng Deng
Cheng Deng Xidian University
Bo Du
Bo Du Wuhan University

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