World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
18547
World Ranking
6017
National Ranking
40

Chong Wang 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 Chong Wang 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: 111 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Chong Wang 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 Chong Wang 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Chong Wang is affiliated with the University of Helsinki in Finland. Their research spans multiple disciplines, primarily focusing on Earth and Planetary Sciences and Engineering. Within these fields, their work concentrates on subfields including Geophysics, Electrical and Electronic Engineering, Mechanical Engineering, Materials Chemistry, and Molecular Biology.

Their main research topics include:

  • Geological and Geochemical Analysis
  • Earthquake and tectonic studies
  • High-pressure geophysics and materials
  • Geochemistry and Geologic Mapping
  • Organic Electronics and Photovoltaics
  • Perovskite Materials and Applications
  • Conducting polymers and applications

Chong Wang has published research in a variety of publication venues, frequently contributing to:

  • Nature
  • Journal of Geophysical Research Solid Earth
  • Precambrian Research
  • Journal of Physics Conference Series
  • Geophysical Research Letters

Recent papers authored or co-authored by Wang demonstrate a diverse range of research interests and methodologies. These include:

  • Suppressing Exciton-Vibration Coupling to Prolong Exciton Lifetime of Nonfullerene Acceptors Enables High-Efficiency Organic Solar Cells, 2024, Angewandte Chemie International Edition
  • The prograde-to-retrograde evolution of the Huangshaping skarn deposit (Nanling Range, South China), 2021, Mineralium Deposita
  • Timing and origin of multi-stage magmatism and related W-Mo-Pb-Zn-Fe-Cu mineralization in the Huangshaping deposit, South China: An integrated zircon study, 2020, Chemical Geology
  • Polylactic acid nanoparticles for co-delivery of dinotefuran and avermectin against pear tree pests with improved effective period and enhanced bioactivity, 2022, International Journal of Biological Macromolecules
  • Earth's oldest hotspot track at ca. 1.8 Ga advected by a global subduction system, 2022, Earth and Planetary Science Letters

The scientist collaborates regularly with frequent co-authors such as Peng Peng, Ross N. Mitchell, Yongbo Jiang, Chunsen Liu, and Yutong Xiang, reflecting interdisciplinary teamwork and collaborative research efforts.

Best Publications

  • Deep speech 2: end-to-end speech recognition in English and mandarin

    Dario Amodei;Sundaram Ananthanarayanan;Rishita Anubhai;Jingliang Bai

  • Reading Tea Leaves: How Humans Interpret Topic Models

    Jonathan Chang;Sean Gerrish;Chong Wang;Jordan L. Boyd-graber

  • Stochastic variational inference

    Matthew D. Hoffman;David M. Blei;Chong Wang;John Paisley

  • Collaborative topic modeling for recommending scientific articles

    Chong Wang;David M. Blei

  • Simultaneous image classification and annotation

    Chong Wang;David Blei;Fei-Fei Li

  • Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)

    Qiming Diao;Minghui Qiu;Chao-Yuan Wu;Alexander J. Smola

  • Online variational inference for the hierarchical Dirichlet process

    Chong Wang;John Paisley;David M. Blei

  • Thoracic Disease Identification and Localization with Limited Supervision

    Zhe Li;Chong Wang;Mei Han;Yuan Xue

  • Continuous time dynamic topic models

    Chong Wang;David Blei;David Heckerman

  • Asymptotically exact, embarrassingly parallel MCMC

    Willie Neiswanger;Chong Wang;Eric P. Xing

  • Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

    Dario Amodei;Rishita Anubhai;Eric Battenberg;Carl Case

  • Nested Hierarchical Dirichlet Processes

    John Paisley;Chong Wang;David M. Blei;Michael I. Jordan

  • Attention-based Graph Neural Network for Semi-supervised Learning

    Kiran Koshy Thekumparampil;Chong Wang;Sewoong Oh;Li-Jia Li

  • Variational inference in nonconjugate models

    Chong Wang;David M. Blei

  • Fully Supervised Speaker Diarization

    Aonan Zhang;Quan Wang;Zhenyao Zhu;John Paisley

  • Weakly Supervised Object Localization with Latent Category Learning

    Chong Wang;Weiqiang Ren;Kaiqi Huang;Tieniu Tan

  • TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency

    Adji B. Dieng;Chong Wang;Jianfeng Gao;John William Paisley

  • Collapse-to-zoom: viewing web pages on small screen devices by interactively removing irrelevant content

    Patrick Baudisch;Xing Xie;Chong Wang;Wei-Ying Ma

  • The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling

    Sinead Williamson;Chong Wang;Katherine A. Heller;David M. Blei

  • Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation

    Yuyin Zhou;Zhe Li;Song Bai;Xinlei Chen

  • Neural Logic Machines

    Honghua Dong;Jiayuan Mao;Tian Lin;Chong Wang

Frequent Co-Authors

David M. Blei
David M. Blei Columbia University
Peng Peng
Peng Peng Chinese Academy of Sciences
John Paisley
John Paisley Columbia University
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Kaiqi Huang
Kaiqi Huang Chinese Academy of Sciences
Dani Yogatama
Dani Yogatama University of Southern California
Sergei Pisarevsky
Sergei Pisarevsky Curtin University
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Ross N. Mitchell
Ross N. Mitchell Chinese Academy of Sciences
Li Deng
Li Deng Citadel

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