World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8866
World Ranking
6839
National Ranking
917

Yuxin Peng 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 Yuxin Peng 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: 181 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Yuxin Peng 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 Yuxin Peng 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

Yuxin Peng is affiliated with Peking University in China and has made contributions primarily in the field of Computer Science, with a focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry, Molecular Biology, and Electrical and Electronic Engineering.

The scientist's research covers a range of topics such as:

  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Video Analysis and Summarization
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Electrocatalysts for Energy Conversion

Some recent publications include:

  • SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization, 2022, Proceedings of the 30th ACM International Conference on Multimedia
  • Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Recent Trends in Self-Powered Photoelectrochemical Sensors: From the Perspective of Signal Output, 2024, ACS Sensors
  • Disentangled Graph Neural Networks for Session-Based Recommendation, 2022, IEEE Transactions on Knowledge and Data Engineering
  • DCR-ReID: Deep Component Reconstruction for Cloth-Changing Person Re-Identification, 2023, IEEE Transactions on Circuits and Systems for Video Technology

Frequent collaborators in Yuxin Peng's work include:

  • Xiangteng He (18 co-authored works)
  • Jiahuan Zhou (12 co-authored works)
  • Yang Liu (8 co-authored works)
  • Xiu-Shen Wei (8 co-authored works)
  • Rui Cao (7 co-authored works)

The scientist has published extensively in venues such as:

  • arXiv (Cornell University) with 21 publications
  • The Cambridge Structural Database with 8 publications
  • IEEE Transactions on Circuits and Systems for Video Technology with 7 publications
  • IEEE Transactions on Image Processing with 7 publications
  • ACM Transactions on Multimedia Computing Communications and Applications with 6 publications

In addition to journal and conference articles, Yuxin Peng has contributed to book publications with Springer Science+Business Media, including three editions of "Image and Graphics" published in 2021.

Best Publications

  • The application of two-level attention models in deep convolutional neural network for fine-grained image classification

    Tianjun Xiao;Yichong Xu;Kuiyuan Yang;Jiaxing Zhang

  • Object-Part Attention Model for Fine-Grained Image Classification.

    Yuxin Peng;Xiangteng He;Junjie Zhao

  • An Overview of Cross-Media Retrieval: Concepts, Methodologies, Benchmarks, and Challenges

    Yuxin Peng;Xin Huang;Yunzhen Zhao

  • Fine-Grained Image Analysis with Deep Learning: A Survey

    Xiu-Shen Wei;Yi-Zhe Song;Oisin Mac Aodha;Jianxin Wu

  • CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning

    Yuxin Peng;Jinwei Qi

  • Learning Cross-Media Joint Representation With Sparse and Semisupervised Regularization

    Xiaohua Zhai;Yuxin Peng;Jianguo Xiao

  • Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification

    Tianjun Xiao;Jiaxing Zhang;Kuiyuan Yang;Yuxin Peng

  • CCL: Cross-modal Correlation Learning With Multigrained Fusion by Hierarchical Network

    Yuxin Peng;Jinwei Qi;Xin Huang;Yuxin Yuan

  • Unsupervised Generative Adversarial Cross-modal Hashing

    Jian Zhang;Yuxin Peng;Mingkuan Yuan

  • Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning

    Junchao Zhang;Yuxin Peng

  • Cross-media shared representation by hierarchical learning with multiple deep networks

    Yuxin Peng;Xin Huang;Jinwei Qi

  • Modality-Specific Cross-Modal Similarity Measurement With Recurrent Attention Network

    Yuxin Peng;Jinwei Qi;Yuxin Yuan

  • Semi-Supervised Cross-Media Feature Learning With Unified Patch Graph Regularization

    Yuxin Peng;Xiaohua Zhai;Yunzhen Zhao;Xin Huang

  • SSDH: Semi-Supervised Deep Hashing for Large Scale Image Retrieval

    Jian Zhang;Yuxin Peng

  • Fine-Grained Image Classification via Combining Vision and Language

    Xiangteng He;Yuxin Peng

  • Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning

    Unknown

  • Two-Stream Collaborative Learning With Spatial-Temporal Attention for Video Classification

    Yuxin Peng;Yunzhen Zhao;Junchao Zhang

  • Heterogeneous metric learning with joint graph regularization for cross-media retrieval

    Xiaohua Zhai;Yuxin Peng;Jianguo Xiao

  • SCH-GAN: Semi-Supervised Cross-Modal Hashing by Generative Adversarial Network

    Jian Zhang;Yuxin Peng;Mingkuan Yuan

  • SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization

    Unknown

  • Fine-graind Image Classification via Combining Vision and Language

    Xiangteng He;Yuxin Peng

  • CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network

    Yuxin Peng;Jinwei Qi;Xin Huang;Yuxin Yuan

Frequent Co-Authors

Jianguo Xiao
Jianguo Xiao Peking University
Xiaohua Zhai
Xiaohua Zhai Google (United States)
Horace H. S. Ip
Horace H. S. Ip City University of Hong Kong
Chong-Wah Ngo
Chong-Wah Ngo Singapore Management University
Xiaojun Wan
Xiaojun Wan Peking University
Zheng Zhang
Zheng Zhang New York University Shanghai
Jinhui Tang
Jinhui Tang Nanjing University of Science and Technology
Jianxin Wu
Jianxin Wu Nanjing University
Serge Belongie
Serge Belongie University of Copenhagen
Xiu-Shen Wei
Xiu-Shen Wei Southeast University

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