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Chong Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 48 6017 5844 40 37 111 18547

Chong Wang publications per year

The chart shows the history of publications by Chong Wang between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chong Wang published across 22 years, from 2004 to 2025, averaging 8 papers a year. Output peaked at 23 publications in 2024. 31 of the 175 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2024. 2004: 2 publications 2005: 6 publications 2006: 3 publications 2007: 5 publications 2008: 4 publications 2009: 6 publications 2010: 4 publications 2011: 6 publications 2012: 7 publications 2013: 6 publications 2014: 8 publications 2015: 11 publications 2016: 11 publications 2017: 12 publications 2018: 12 publications 2019: 10 publications 2020: 8 publications 2021: 17 publications 2022: 3 publications 2023: 3 publications 2024: 23 publications 2025: 8 publications
2004 2025

175 publications in total across all disciplines

View publications per year as a table
Chong Wang: publications per year, 2004 to 2025
Year Publications
2004 2
2005 6
2006 3
2007 5
2008 4
2009 6
2010 4
2011 6
2012 7
2013 6
2014 8
2015 11
2016 11
2017 12
2018 12
2019 10
2020 8
2021 17
2022 3
2023 3
2024 23
2025 8
Total 175
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 102–111 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420 111
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 48–49 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543 48
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Google Scholar page

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Related Online Degrees & Career Pathways

When considering a degree in Computer Science, flexible online options open up a variety of pathways. For individuals starting out or seeking a quick entry into tech fields, an associate degree online can provide foundational knowledge and practical skills with less time and financial commitment.

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Not all colleges have high entry barriers. Those concerned about academic records can still advance through online colleges that accept 2.0 gpa, opening opportunities to boost skills and improve future prospects.

While a Computer Science degree leads to roles in software development, data analysis, and cybersecurity, it’s worth considering interdisciplinary careers too. For example, those drawn to environmental issues can explore what jobs can you get with an environmental science degree, as both fields increasingly overlap through technology-driven solutions.

Best Scientists Citing Chong Wang

David M. Blei

David M. Blei

Columbia University

Publications: 101

Shinji Watanabe

Shinji Watanabe

Carnegie Mellon University

Publications: 61

Lawrence Carin

Lawrence Carin

Duke University

Publications: 54

Eric P. Xing

Eric P. Xing

Mohamed bin Zayed University of Artificial Intelligence

Publications: 51

Jun Zhu

Jun Zhu

Tsinghua University

Publications: 46

Mingyuan Zhou

Mingyuan Zhou

The University of Texas at Austin

Publications: 43

Jordan Boyd-Graber

Jordan Boyd-Graber

University of Maryland, College Park

Publications: 38

Xing Xie

Xing Xie

Microsoft Research Asia (China)

Publications: 37

Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

Publications: 32

John Paisley

John Paisley

Columbia University

Publications: 30

Rajesh Ranganath

Rajesh Ranganath

New York University

Publications: 29

David B. Dunson

David B. Dunson

Duke University

Publications: 27

Matthew D. Hoffman

Matthew D. Hoffman

Google (United States)

Publications: 27

Samuel Kaski

Samuel Kaski

Aalto University

Publications: 26

David J. Nott

David J. Nott

National University of Singapore

Publications: 26

M. Santosh

M. Santosh

China University of Geosciences

Publications: 25

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