World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
17488
World Ranking
7373
National Ranking
3213

Dengyong Zhou 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 Dengyong Zhou 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: 76 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Dengyong Zhou 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 Dengyong Zhou 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Dengyong Zhou is a researcher primarily affiliated with Google in the United States. Their academic work centers on computer science, with a focus on subfields including computer vision and pattern recognition, artificial intelligence, computer science applications, management science and operations research, and information systems.

Their research covers several key topics such as advanced image and video retrieval techniques, advanced neural network applications, domain adaptation and few-shot learning, mobile crowdsensing and crowdsourcing, auction theory and applications, privacy-preserving technologies in data, and information retrieval and search behavior.

Zhou has contributed to several recent publications. Notable papers include:

  • "Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision" (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Approval Voting and Incentives in Crowdsourcing" (2020), published in ACM Transactions on Economics and Computation
  • "Approval Voting and Incentives in Crowdsourcing" (2020), published in ACM Transactions on Economics and Computation
  • "Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision" (2020), published in arXiv (Cornell University)

Frequent coauthors in Zhou's work include:

  • Xingchao Liu
  • Nihar B. Shah
  • Mao Ye
  • Qiang Liu
  • Yuval Peres

Their research has been published predominantly in venues such as:

  • ACM Transactions on Economics and Computation
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • arXiv (Cornell University)

Best Publications

  • Learning with Local and Global Consistency

    Dengyong Zhou;Olivier Bousquet;Thomas N. Lal;Jason Weston

  • Recommender systems with social regularization

    Hao Ma;Dengyong Zhou;Chao Liu;Michael R. Lyu

  • Learning with Hypergraphs: Clustering, Classification, and Embedding

    Dengyong Zhou;Jiayuan Huang;Bernhard Schölkopf

  • Ranking on Data Manifolds

    Dengyong Zhou;Jason Weston;Arthur Gretton;Olivier Bousquet

  • Semi-Supervised Graph-Based Hyperspectral Image Classification

    G. Camps-Valls;T. Bandos Marsheva;D. Zhou

  • Spectral clustering and transductive learning with multiple views

    Dengyong Zhou;Christopher J. C. Burges

  • Learning from labeled and unlabeled data on a directed graph

    Dengyong Zhou;Jiayuan Huang;Bernhard Schölkopf

  • Evolutionary spectral clustering by incorporating temporal smoothness

    Yun Chi;Xiaodan Song;Dengyong Zhou;Koji Hino

  • Query suggestion using hitting time

    Qiaozhu Mei;Dengyong Zhou;Kenneth Church

  • Learning from the Wisdom of Crowds by Minimax Entropy

    Dengyong Zhou;Sumit Basu;Yi Mao;John C. Platt

  • Spectral methods meet EM: a provably optimal algorithm for crowdsourcing

    Yuchen Zhang;Xi Chen;Dengyong Zhou;Michael I. Jordan

  • Semi-supervised protein classification using cluster kernels

    Jason Weston;Christina Leslie;Eugene Ie;Dengyong Zhou

  • Semi-supervised Protein Classification Using Cluster Kernels

    Jason Weston;Dengyong Zhou;André Elisseeff;William S. Noble

  • A Regularization Framework for Learning from Graph Data

    D Zhou;B Schölkopf

  • Semi-supervised Learning on Directed Graphs

    Dengyong Zhou;Thomas Hofmann;Bernhard Schölkopf

  • Neuro-Symbolic Program Synthesis

    Emilio Parisotto;Abdel-rahman Mohamed;Rishabh Singh;Lihong Li

  • Regularization on discrete spaces

    Dengyong Zhou;Bernhard Schölkopf

  • On evolutionary spectral clustering

    Yun Chi;Xiaodan Song;Dengyong Zhou;Koji Hino

  • Breaking the curse of horizon: Infinite-horizon off-policy estimation

    Qiang Liu;Lihong Li;Ziyang Tang;Dengyong Zhou

  • Protein ranking: from local to global structure in the protein similarity network.

    Jason Weston;Andre Elisseeff;Dengyong Zhou;Christina S. Leslie

  • Learning from Labeled and Unlabeled Data Using Random Walks

    Dengyong Zhou;Bernhard Schölkopf

Frequent Co-Authors

Qiang Liu
Qiang Liu Chinese Academy of Sciences
Lihong Li
Lihong Li Amazon (United States)
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Nihar B. Shah
Nihar B. Shah Carnegie Mellon University
Xi Chen
Xi Chen Columbia University
Christopher J. C. Burges
Christopher J. C. Burges Microsoft (United States)
Jason Weston
Jason Weston Facebook (United States)
Abdel-rahman Mohamed
Abdel-rahman Mohamed Facebook (United States)
Li Deng
Li Deng Citadel
Lin Xiao
Lin Xiao Facebook (United States)

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