World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9644
World Ranking
6793
National Ranking
909

Jun Guo 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 Guo 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: 389 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Jun Guo 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 Guo 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Jun Guo is affiliated with Beijing University of Posts and Telecommunications in China. Their research primarily focuses on the fields of Computer Science and Engineering, with significant contributions to subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Media Technology, and Control and Systems Engineering.

Their research work covers a broad range of topics such as:

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

Jun Guo has multiple publications in high-profile venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • Pattern Recognition
  • Neurocomputing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Notable recent papers authored by Jun Guo cover various aspects of image processing, visual classification, and medical studies. These include:

  • "The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification" (2020), published in IEEE Transactions on Image Processing
  • "Patients with COVID-19 in 19 ICUs in Wuhan, China: a cross-sectional study" (2020), published in Critical Care
  • "A Survey on Long-Tailed Visual Recognition" (2022), published in International Journal of Computer Vision
  • "Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification" (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Cluster-Guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification" (2022), published in IEEE Transactions on Image Processing

Collaboration is a notable feature in Jun Guo's academic career. Frequent co-authors include:

  • Zhanyu Ma (with 36 co-authored works)
  • Dongliang Chang (17 co-authored works)
  • Jiyang Xie (13 co-authored works)
  • Yi-Zhe Song (13 co-authored works)
  • Xiaoxu Li (9 co-authored works)

Best Publications

  • Extended SRC: Undersampled Face Recognition via Intraclass Variant Dictionary

    Weihong Deng;Jiani Hu;Jun Guo

  • Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Applications to Face and Palm Biometrics

    Jian Yang;D. Zhang;Jing-yu Yang;B. Niu

  • Pairwise Rotation Invariant Co-Occurrence Local Binary Pattern

    Xianbiao Qi;Rong Xiao;Chun-Guang Li;Yu Qiao

  • A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks

    Qie Sun;Hailong Li;Zhanyu Ma;Chao Wang

  • The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

    Dongliang Chang;Yifeng Ding;Jiyang Xie;Ayan Kumar Bhunia

  • Pairwise rotation invariant co-occurrence local binary pattern

    Xianbiao Qi;Rong Xiao;Jun Guo;Lei Zhang

  • Mobile Edge Computing Empowered Energy Efficient Task Offloading in 5G

    Lichao Yang;Heli Zhang;Ming Li;Jun Guo

  • On the Outage Probability of Device-to-Device-Communication-Enabled Multichannel Cellular Networks: An RSS-Threshold-Based Perspective

    Jiajia Liu;Hiroki Nishiyama;Nei Kato;Jun Guo

  • In Defense of Sparsity Based Face Recognition

    Weihong Deng;Jiani Hu;Jun Guo

  • Text extraction from natural scene image: A survey

    Honggang Zhang;Kaili Zhao;Yi-Zhe Song;Jun Guo

  • Cross-Domain Recommendation via Cluster-Level Latent Factor Model

    Sheng Gao;Hao Luo;Da Chen;Shantao Li

  • Self-Supervised Convolutional Subspace Clustering Network

    Junjian Zhang;Chun-Guang Li;Chong You;Xianbiao Qi

  • Face Recognition via Collaborative Representation: Its Discriminant Nature and Superposed Representation

    Weihong Deng;Jiani Hu;Jun Guo

  • Variational Bayesian Matrix Factorization for Bounded Support Data

    Zhanyu Ma;Andrew E. Teschendorff;Arne Leijon;Yuanyuan Qiao

  • SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval

    Peng Xu;Yongye Huang;Tongtong Yuan;Kaiyue Pang

  • Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs

    Zhanyu Ma;Dongliang Chang;Jiyang Xie;Yifeng Ding

  • Robust, accurate and efficient face recognition from a single training image: A uniform pursuit approach

    Weihong Deng;Jiani Hu;Jun Guo;Weidong Cai

  • Transform-Invariant PCA: A Unified Approach to Fully Automatic FaceAlignment, Representation, and Recognition

    Weihong Deng;Jiani Hu;Jiwen Lu;Jun Guo

  • Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling

    Zhanyu Ma;Yuping Lai;W. Bastiaan Kleijn;Yi-Zhe Song

  • Duplex Contextual Relation Network for Polyp Segmentation.

    Zijin Yin;Kongming Liang;Zhanyu Ma;Jun Guo

  • HCL2000 - A Large-scale Handwritten Chinese Character Database for Handwritten Character Recognition

    Honggang Zhang;Jun Guo;Guang Chen;Chunguang Li

Frequent Co-Authors

Zhanyu Ma
Zhanyu Ma Beijing University of Posts and Telecommunications
Weihong Deng
Weihong Deng Beijing University of Posts and Telecommunications
Honggang Zhang
Honggang Zhang Zhejiang University
Chunguang Li
Chunguang Li Zhejiang University
Yi-Zhe Song
Yi-Zhe Song University of Surrey
Zheng-Hua Tan
Zheng-Hua Tan Aalborg University
Jing-Hao Xue
Jing-Hao Xue University College London
Zhouchen Lin
Zhouchen Lin Peking University
Patrick Gallinari
Patrick Gallinari Sorbonne University
Hailong Li
Hailong Li Mälardalen University

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