World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
6761
World Ranking
5182
National Ranking
705

Dapeng 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 Dapeng 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Dapeng 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 Dapeng 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Dapeng Tao is affiliated with Yunnan University in China and has a significant research portfolio primarily in Computer Science and Engineering. Their work focuses on multiple subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biomedical Engineering, and Radiology, Nuclear Medicine and Imaging.

Their publications cover a range of topics within these fields, with particular emphasis on Video Surveillance and Tracking Methods, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Advanced Image Fusion Techniques, Human Pose and Action Recognition, Advanced Graph Neural Networks, and Advanced Neural Network Applications.

Among Dapeng Tao's recent research outputs are several papers published between 2020 and 2023, including:

  • "Attribute-Aligned Domain-Invariant Feature Learning for Unsupervised Domain Adaptation Person Re-Identification" (2020) published in IEEE Transactions on Information Forensics and Security
  • "Triple Adversarial Learning and Multi-View Imaginative Reasoning for Unsupervised Domain Adaptation Person Re-Identification" (2021) published in IEEE Transactions on Circuits and Systems for Video Technology
  • "Deep features for person re-identification on metric learning" (2020) published in Pattern Recognition
  • "FTGAN: A Novel GAN-Based Data Augmentation Method Coupled Time-Frequency Domain for Imbalanced Bearing Fault Diagnosis" (2023) published in IEEE Transactions on Instrumentation and Measurement
  • "Multi-view learning for hyperspectral image classification: An overview" (2022) published in Neurocomputing

Their frequent coauthors include Yibing Zhan, Weifeng Liu, Baodi Liu, Huafeng Li, and Liang Ding, highlighting collaboration across various projects.

Dapeng Tao has published extensively in notable venues, with numerous publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • Pattern Recognition
  • IEEE Transactions on Circuits and Systems for Video Technology
  • SSRN Electronic Journal

Their body of work demonstrates a multidisciplinary approach spanning core computer science domains and specialized engineering applications, contributing to advancements in machine learning techniques applied to image analysis, video tracking, and domain adaptation strategies.

Best Publications

  • Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries learning

    Huafeng Li;Xiaoge He;Dapeng Tao;Dapeng Tao;Yuanyan Tang

  • Hetero-Center loss for cross-modality person Re-identification

    Yuanxin Zhu;Zhao Yang;Li Wang;Sai Zhao

  • Person Re-Identification by Regularized Smoothing KISS Metric Learning

    Dapeng Tao;Lianwen Jin;Yongfei Wang;Yuan Yuan

  • Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution

    Yajun Qiu;Ruxin Wang;Dapeng Tao;Jun Cheng

  • Person Re-Identification by Dual-Regularized KISS Metric Learning

    Dapeng Tao;Yanan Guo;Mingli Song;Yaotang Li

  • Upper limb motion tracking with the integration of IMU and Kinect

    Yushuang Tian;Xiaoli Meng;Dapeng Tao;Dongquan Liu

  • Canonical correlation analysis networks for two-view image recognition

    Xinghao Yang;Weifeng Liu;Dapeng Tao;Jun Cheng

  • Deep Neural Networks with Relativity Learning for facial expression recognition

    Yanan Guo;Dapeng Tao;Jun Yu;Hao Xiong

  • Semantic preserving distance metric learning and applications

    Jun Yu;Dapeng Tao;Jonathan Li;Jun Cheng

  • Discriminative Multi-instance Multitask Learning for 3D Action Recognition

    Yanhua Yang;Cheng Deng;Shangqian Gao;Wei Liu

  • $p$ -Laplacian Regularization for Scene Recognition

    Weifeng Liu;Xueqi Ma;Yicong Zhou;Dapeng Tao

  • Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud

    Dapeng Tao;Lianwen Jin;Weifeng Liu;Xuelong Li

  • Principal Component 2-D Long Short-Term Memory for Font Recognition on Single Chinese Characters

    Dapeng Tao;Xu Lin;Lianwen Jin;Xuelong Li

  • Deep Multi-View Feature Learning for Person Re-Identification

    Dapeng Tao;Yanan Guo;Baosheng Yu;Jianxin Pang

  • Manifold Ranking-Based Matrix Factorization for Saliency Detection

    Dapeng Tao;Jun Cheng;Mingli Song;Xu Lin

  • Coherent Semantic-Visual Indexing for Large-Scale Image Retrieval in the Cloud

    Richang Hong;Lei Li;Junjie Cai;Dapeng Tao

  • DeepChart: Combining deep convolutional networks and deep belief networks in chart classification

    Binbin Tang;Binbin Tang;Xiao Liu;Jie Lei;Mingli Song

  • RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge

    Jun Cheng;Fuxiang Wu;Yanling Tian;Lei Wang

  • Attribute-Aligned Domain-Invariant Feature Learning for Unsupervised Domain Adaptation Person Re-Identification

    Huafeng Li;Yiwen Chen;Dapeng Tao;Zhengtao Yu

  • Tensor Rank Preserving Discriminant Analysis for Facial Recognition

    Dapeng Tao;Yanan Guo;Yaotang Li;Xinbo Gao

  • Ensemble Manifold Rank Preserving for Acceleration-Based Human Activity Recognition

    Dapeng Tao;Lianwen Jin;Yuan Yuan;Yang Xue

  • Domain-Weighted Majority Voting for Crowdsourcing

    Dapeng Tao;Jun Cheng;Zhengtao Yu;Kun Yue

Frequent Co-Authors

Lianwen Jin
Lianwen Jin South China University of Technology
Jun Yu
Jun Yu Hangzhou Dianzi University
Mingli Song
Mingli Song Zhejiang University
Yicong Zhou
Yicong Zhou University of Macau
Jun Cheng
Jun Cheng University of Chinese Academy of Sciences
Xuelong Li
Xuelong Li China Telecom (China)
Xinbo Gao
Xinbo Gao Xidian University
Cheng Deng
Cheng Deng Xidian University
Xinchao Wang
Xinchao Wang National University of Singapore
Yuan Yan Tang
Yuan Yan Tang University of Macau

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