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Computer Science
China
2025

D-Index & Metrics

Computer Science

D-Index
83
Citations
36719
World Ranking
888
National Ranking
134

Deng Cai 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 Deng Cai 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: 311 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Deng Cai 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 Deng Cai 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: 83 D-Index — 94th percentile

94% 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

  • 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

Deng Cai is a researcher affiliated with Zhejiang University in China. Their research contributions primarily focus on computer science, with an emphasis on computer vision and pattern recognition, as well as artificial intelligence. They have also worked in aerospace engineering, computational mechanics, and geology, highlighting a multidisciplinary approach in their scientific endeavors.

Their main research topics encompass:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Topic Modeling
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Robotics and Sensor-Based Localization
  • Video Surveillance and Tracking Methods

Deng Cai's publication record includes a substantial number of works, with frequent contributions to several venues. These include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing
  • Neurocomputing
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Notable papers authored by or involving Deng Cai include:

  • "CLRNet: Cross Layer Refinement Network for Lane Detection," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Adversarial-Learned Loss for Domain Adaptation," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Document Summarization Based on Data Reconstruction," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborative partners in Deng Cai's work include:

  • Xiaofei He
  • Boxi Wu
  • Wenxiao Wang
  • Binbin Lin
  • Zhengkai Tu

Deng Cai has contributed extensively to the field of computer vision and artificial intelligence through research that intersects neural network methodologies and practical applications such as lane detection, 3D object detection, domain adaptation, few-shot learning, and document summarization. Their scholarship reflects a consistent presence in prominent conferences and journals relevant to these topics.

Best Publications

  • Graph Regularized Nonnegative Matrix Factorization for Data Representation

    Deng Cai;Xiaofei He;Jiawei Han;T S Huang

  • Laplacian Score for Feature Selection

    Xiaofei He;Deng Cai;Partha Niyogi

  • Neighborhood preserving embedding

    Xiaofei He;Deng Cai;Shuicheng Yan;Hong-Jiang Zhang

  • Unsupervised feature selection for multi-cluster data

    Deng Cai;Chiyuan Zhang;Xiaofei He

  • Orthogonal Laplacianfaces for Face Recognition

    Deng Cai;Xiaofei He;Jiawei Han;Hong-Jiang Zhang

  • VIPS: a Vision-based Page Segmentation Algorithm

    Deng Cai;Shipeng Yu;Ji-Rong Wen;Wei-Ying Ma

  • Document clustering using locality preserving indexing

    D. Cai;X. He;J. Han

  • Semi-supervised Discriminant Analysis

    Deng Cai;Xiaofei He;Jiawei Han

  • Graph Regularized Sparse Coding for Image Representation

    Miao Zheng;Jiajun Bu;Chun Chen;Can Wang

  • PixelLink: Detecting Scene Text via Instance Segmentation

    Dan Deng;Haifeng Liu;Xuelong Li;Deng Cai

  • Locality sensitive discriminant analysis

    Deng Cai;Xiaofei He;Kun Zhou;Jiawei Han

  • Extracting content structure for web pages based on visual representation

    Deng Cai;Shipeng Yu;Ji-Rong Wen;Wei-Ying Ma

  • Constrained Nonnegative Matrix Factorization for Image Representation

    Haifeng Liu;Zhaohui Wu;Xuelong Li;Deng Cai

  • Hierarchical clustering of WWW image search results using visual, textual and link information

    Deng Cai;Xiaofei He;Zhiwei Li;Wei-Ying Ma

  • Topic modeling with network regularization

    Qiaozhu Mei;Deng Cai;Duo Zhang;ChengXiang Zhai

  • Non-negative Matrix Factorization on Manifold

    Deng Cai;Xiaofei He;Xiaoyun Wu;Jiawei Han

  • SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis

    Deng Cai;Xiaofei He;Jiawei Han

  • Tensor Subspace Analysis

    Xiaofei He;Deng Cai;Partha Niyogi

  • What to Do Next: Modeling User Behaviors by Time-LSTM.

    Yu Zhu;Hao Li;Yikang Liao;Beidou Wang

  • Learning a Spatially Smooth Subspace for Face Recognition

    Deng Cai;Xiaofei He;Yuxiao Hu;Jiawei Han

  • Improving pseudo-relevance feedback in web information retrieval using web page segmentation

    Shipeng Yu;Deng Cai;Ji-Rong Wen;Wei-Ying Ma

Frequent Co-Authors

Xiaofei He
Xiaofei He Zhejiang University
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Jiajun Bu
Jiajun Bu Zhejiang University
Chun Chen
Chun Chen Zhejiang University
Haifeng Liu
Haifeng Liu Tianjin University
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Yueting Zhuang
Yueting Zhuang Zhejiang University
Zhou Zhao
Zhou Zhao Zhejiang University
Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Xuelong Li
Xuelong Li China Telecom (China)

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