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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
92
Citations
32143
World Ranking
546
National Ranking
74

Heng Tao Shen 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 Heng Tao Shen 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: 455 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Heng Tao Shen 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 Heng Tao Shen 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: 92 D-Index — 96th percentile

96% 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

Overview

Heng Tao Shen is affiliated with the University of Electronic Science and Technology of China. Their research primarily belongs to the field of Computer Science, with a substantial focus on specialized subfields and topics within this domain.

The main subfields of study for Heng Tao Shen include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Signal Processing
  • Electrical and Electronic Engineering

Research topics frequently addressed by Heng Tao Shen are:

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

Heng Tao Shen has coauthored extensively with several researchers. Notable frequent collaborators include:

  • Lianli Gao
  • Jingkuan Song
  • Yang Yang
  • Xing Xu
  • Jingjing Li

The scientist has contributed significantly to various academic venues, with repeated publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Image Processing

Selected recent papers illustrate Heng Tao Shen's research themes and publication record:

  • Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Deep Fuzzy Hashing Network for Efficient Image Retrieval, 2020, IEEE Transactions on Fuzzy Systems
  • Maximum Density Divergence for Domain Adaptation, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Cross-Modal Attention With Semantic Consistence for Image-Text Matching, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network, 2020, IEEE Transactions on Geoscience and Remote Sensing

Best Publications

  • Supervised Discrete Hashing

    Fumin Shen;Chunhua Shen;Wei Liu;Heng Tao Shen

  • A Survey on Learning to Hash

    Jingdong Wang;Ting Zhang;Jingkuan Song;Nicu Sebe

  • L2,1-Norm Regularized Discriminative Feature Selection for Unsupervised

    Yi Yang;Heng Tao Shen;Zhigang Ma;Zi Huang

  • l 2,1 -norm regularized discriminative feature selection for unsupervised learning

    Yi Yang;Heng Tao Shen;Zhigang Ma;Zi Huang

  • Adversarial Cross-Modal Retrieval

    Bokun Wang;Yang Yang;Xing Xu;Alan Hanjalic

  • Inter-media hashing for large-scale retrieval from heterogeneous data sources

    Jingkuan Song;Yang Yang;Yi Yang;Zi Huang

  • Video Captioning With Attention-Based LSTM and Semantic Consistency

    Lianli Gao;Zhao Guo;Hanwang Zhang;Xing Xu

  • Hashing for Similarity Search: A Survey

    Jingdong Wang;Heng Tao Shen;Jingkuan Song;Jianqiu Ji

  • Binary Multi-View Clustering

    Zheng Zhang;Li Liu;Fumin Shen;Heng Tao Shen

  • Discovery of convoys in trajectory databases

    Hoyoung Jeung;Man Lung Yiu;Xiaofang Zhou;Christian S. Jensen

  • Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval

    Lianli Gao;Xiaosu Zhu;Jingkuan Song;Zhou Zhao

  • Discovering popular routes from trajectories

    Zaiben Chen;Heng Tao Shen;Xiaofang Zhou

  • Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval

    Xing Xu;Fumin Shen;Yang Yang;Heng Tao Shen

  • A Hybrid Prediction Model for Moving Objects

    Hoyoung Jeung;Qing Liu;Heng Tao Shen;Xiaofang Zhou

  • Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization

    Fumin Shen;Yan Xu;Li Liu;Yang Yang

  • Multiple feature hashing for real-time large scale near-duplicate video retrieval

    Jingkuan Song;Yi Yang;Zi Huang;Heng Tao Shen

  • Deep Fuzzy Hashing Network for Efficient Image Retrieval

    Huimin Lu;Ming Zhang;Xing Xu;Yujie Li

  • Linear cross-modal hashing for efficient multimedia search

    Xiaofeng Zhu;Zi Huang;Heng Tao Shen;Xin Zhao

  • Maximum Density Divergence for Domain Adaptation

    Jingjing Li;Erpeng Chen;Zhengming Ding;Lei Zhu

  • Transfer Independently Together: A Generalized Framework for Domain Adaptation

    Jingjing Li;Ke Lu;Zi Huang;Lei Zhu

  • Searching trajectories by locations: an efficiency study

    Zaiben Chen;Heng Tao Shen;Xiaofang Zhou;Yu Zheng

  • Beyond Frame-level CNN: Saliency-Aware 3-D CNN With LSTM for Video Action Recognition

    Xuanhan Wang;Lianli Gao;Jingkuan Song;Heng Tao Shen

  • Proceedings of the 23rd ACM international conference on Multimedia

    Xiaofang Zhou;Alan F. Smeaton;Qi Tian;Dick C.A. Bulterman

Frequent Co-Authors

Yang Yang
Yang Yang University of Electronic Science and Technology of China
Zi Huang
Zi Huang University of Queensland
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Jingkuan Song
Jingkuan Song Columbia University
Lianli Gao
Lianli Gao University of Electronic Science and Technology of China
Dongxiang Zhang
Dongxiang Zhang Zhejiang University
Bin Cui
Bin Cui Peking University
Chunhua Shen
Chunhua Shen Zhejiang University
Xuelong Li
Xuelong Li China Telecom (China)

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