World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
13619
World Ranking
5255
National Ranking
709

Jun Yu 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 Jun Yu 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Jun Yu 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 Jun Yu 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Jun Yu is affiliated with Hangzhou Dianzi University in China and has a research focus within the field of Computer Science, particularly in the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, and Media Technology.

The scientist's recent publications reflect diverse interests spanning machine learning and multimedia applications. Key papers include:

  • "A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT," 2024, International Journal of Machine Learning and Cybernetics
  • "Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT," 2023, arXiv (Cornell University)
  • "Toward Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs," 2020, IEEE Transactions on Cybernetics
  • "Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals," 2023, Information Fusion

Frequent co-authors associated with Jun Yu's research include:

  • Yu Zhou
  • Qingming Huang
  • Jianping Fan
  • Shiqing Zhang
  • Min Meng

Jun Yu has contributed to various publication venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Multimedia
  • Neurocomputing
  • ACM Transactions on Multimedia Computing Communications and Applications

The scientist's work covers a broad range of topics including:

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

Jun Yu has also contributed to book publications under the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Notable works include two editions of "Communications and Networking" published in 2020 and 2022.

Best Publications

  • Deep Modular Co-Attention Networks for Visual Question Answering

    Zhou Yu;Jun Yu;Yuhao Cui;Dacheng Tao

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

    Zhou Yu;Jun Yu;Jianping Fan;Dacheng Tao

  • Multimodal Deep Autoencoder for Human Pose Recovery

    Chaoqun Hong;Jun Yu;Jian Wan;Dacheng Tao

  • Click Prediction for Web Image Reranking Using Multimodal Sparse Coding

    Jun Yu;Yong Rui;Dacheng Tao

  • Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering

    Zhou Yu;Jun Yu;Chenchao Xiang;Jianping Fan

  • Hierarchical Deep Click Feature Prediction for Fine-grained Image Recognition.

    Jun Yu;Min Tan;Hongyuan Zhang;Dacheng Tao

  • Learning to Rank Using User Clicks and Visual Features for Image Retrieval

    Jun Yu;Dacheng Tao;Meng Wang;Yong Rui

  • Adaptive Hypergraph Learning and its Application in Image Classification

    Jun Yu;Dacheng Tao;Meng Wang

  • Multimodal Transformer With Multi-View Visual Representation for Image Captioning

    Jun Yu;Jing Li;Zhou Yu;Qingming Huang

  • Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking

    Jun Yu;Xiaokang Yang;Fei Gao;Dacheng Tao

  • Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition

    Jun Yu;Chaoyang Zhu;Jian Zhang;Qingming Huang

  • iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning

    Jun Yu;Baopeng Zhang;Zhengzhong Kuang;Dan Lin

  • Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning

    Chaoqun Hong;Jun Yu;Jian Zhang;Xiongnan Jin

  • High-order distance-based multiview stochastic learning in image classification.

    Jun Yu;Yong Rui;Yuan Yan Tang;Dacheng Tao

  • Coupled Deep Autoencoder for Single Image Super-Resolution

    Kun Zeng;Jun Yu;Ruxin Wang;Cuihua Li

  • Semisupervised Multiview Distance Metric Learning for Cartoon Synthesis

    Jun Yu;Meng Wang;Dacheng Tao

  • Image-Based Three-Dimensional Human Pose Recovery by Multiview Locality-Sensitive Sparse Retrieval

    Chaoqun Hong;Jun Yu;Dacheng Tao;Meng Wang

  • Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing

    Jun Yu;Zhenzhong Kuang;Baopeng Zhang;Wei Zhang

  • Local Deep-Feature Alignment for Unsupervised Dimension Reduction

    Jian Zhang;Jun Yu;Dacheng Tao

  • ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering

    Zhou Yu;Dejing Xu;Jun Yu;Ting Yu

Frequent Co-Authors

Dacheng Tao
Dacheng Tao Nanyang Technological University
Zhou Yu
Zhou Yu Hangzhou Dianzi University
Jianping Fan
Jianping Fan University of North Carolina at Charlotte
Dapeng Tao
Dapeng Tao Yunnan University
Meng Wang
Meng Wang Hefei University of Technology
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Qi Tian
Qi Tian Huawei Technologies (China)
Yong Rui
Yong Rui Lenovo (China)
Jonathan Li
Jonathan Li University of Waterloo
Josef Kittler
Josef Kittler University of Surrey

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