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Dong Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 41 8914 8663 3795 3645 342 6304

Dong Wang publications per year

The chart shows the history of publications by Dong Wang between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Dong Wang published across 27 years, from 1999 to 2025, averaging 18.6 papers a year. Output peaked at 57 publications in 2022. 87 of the 503 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 57. Peak 57 publications in 2022. 1999: 1 publication 2000: 0 publications 2001: 1 publication 2002: 3 publications 2003: 1 publication 2004: 3 publications 2005: 1 publication 2006: 6 publications 2007: 2 publications 2008: 3 publications 2009: 12 publications 2010: 8 publications 2011: 12 publications 2012: 15 publications 2013: 17 publications 2014: 11 publications 2015: 30 publications 2016: 27 publications 2017: 25 publications 2018: 20 publications 2019: 39 publications 2020: 30 publications 2021: 46 publications 2022: 57 publications 2023: 46 publications 2024: 41 publications 2025: 46 publications
1999 2025

503 publications in total across all disciplines

View publications per year as a table
Dong Wang: publications per year, 1999 to 2025
Year Publications
1999 1
2000 0
2001 1
2002 3
2003 1
2004 3
2005 1
2006 6
2007 2
2008 3
2009 12
2010 8
2011 12
2012 15
2013 17
2014 11
2015 30
2016 27
2017 25
2018 20
2019 39
2020 30
2021 46
2022 57
2023 46
2024 41
2025 46
Total 503
Download as CSV

Dong 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 Dong 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, 342–351 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: 342 publications — 81st percentile

81% 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
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
342–351 208 342
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

Dong 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 Dong 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, 40–41 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: 41 D-Index — 40th percentile

40% 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 41
42–43 821
44–45 763
46–47 689
48–49 543
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

Dong Wang is affiliated with the University of Notre Dame in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research encompasses several subfields including sociology and political science, computer vision and pattern recognition, computer science applications, and electrical and electronic engineering.

Their work covers a range of topics, reflecting a multidisciplinary approach involving:

  • Topic Modeling
  • Mobile Crowdsensing and Crowdsourcing
  • Misinformation and Its Impacts
  • Anomaly Detection Techniques and Applications
  • Natural Language Processing Techniques
  • Human Mobility and Location-Based Analysis
  • Data-Driven Disease Surveillance

Dong Wang has authored numerous research papers, some of the recent notable publications include:

  • CovidSens: a vision on reliable social sensing for COVID-19, 2020, Artificial Intelligence Review
  • A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok, 2021, 2021 IEEE International Conference on Big Data (Big Data)
  • A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection, 2022, Proceedings of the ACM Web Conference 2022
  • HC-COVID, 2022, Proceedings of the ACM on Human-Computer Interaction
  • Machine Learning Based Prediction of Enzymatic Degradation of Plastics Using Encoded Protein Sequence and Effective Feature Representation, 2023, Environmental Science & Technology Letters

Their frequent collaborators include researchers such as Lanyu Shang, Yang Zhang, Ziyi Kou, Huimin Zeng, and Zhenrui Yue, indicating a strong network of coauthorship within their research community.

Dong Wang's publications frequently appear in venues recognized within the computer science domain, including:

  • arXiv (Cornell University)
  • Knowledge-Based Systems
  • Proceedings of the ACM on Human-Computer Interaction
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SSRN Electronic Journal

Their research contributions primarily advance knowledge in artificial intelligence and its applications, particularly focusing on the detection and analysis of misinformation, social sensing for public health, and machine learning techniques. This profile reflects a sustained scholarly output and engagement with interdisciplinary domains intersecting computer science and social sciences.

Best Publications

  • On truth discovery in social sensing: a maximum likelihood estimation approach

    Dong Wang;Lance Kaplan;Hieu Le;Tarek Abdelzaher

  • Relation Classification via Recurrent Neural Network

    Dongxu Zhang;Dong Wang

  • Using humans as sensors: an estimation-theoretic perspective

    Dong Wang;Tanvir Amin;Shen Li;Tarek Abdelzaher

  • Enzyme Discovery and Engineering for Sustainable Plastic Recycling.

    Baotong Zhu;Dong Wang;Na Wei

  • The Age of Social Sensing

    Dong Wang;Boleslaw K. Szymanski;Tarek Abdelzaher;Heng Ji

  • Social Sensing: Building Reliable Systems on Unreliable Data

    Dong Wang;Tarek Abdelzaher;Lance Kaplan

  • Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications

    Dong Wang;Tarek Abdelzaher;Lance Kaplan;Charu C. Aggarwal

  • Click-through Prediction for Advertising in Twitter Timeline

    Cheng Li;Yue Lu;Qiaozhu Mei;Dong Wang

  • On Credibility Estimation Tradeoffs in Assured Social Sensing

    Dong Wang;L. Kaplan;T. Abdelzaher;C. C. Aggarwal

  • CovidSens: a vision on reliable social sensing for COVID-19.

    Tahmid Rashid;Dong Wang

  • Efficient Graph Similarity Search Over Large Graph Databases

    Weiguo Zheng;Lei Zou;Xiang Lian;Dong Wang

  • Maximum likelihood analysis of conflicting observations in social sensing

    Dong Wang;Lance Kaplan;Tarek F. Abdelzaher

  • On Scalable and Robust Truth Discovery in Big Data Social Media Sensing Applications

    Daniel Zhang;Dong Wang;Nathan Vance;Yang Zhang

  • Shedding light on “Black Box” machine learning models for predicting the reactivity of HO radicals toward organic compounds

    Shifa Zhong;Kai Zhang;Dong Wang;Huichun Zhang

  • CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding

    Dong Wang;Ning Ding;Piji Li;Haitao Zheng

  • Chinese song iambics generation with neural attention-based model

    Qixin Wang;Tianyi Luo;Dong Wang;Chao Xing

  • Towards Cyber-Physical Systems in Social Spaces: The Data Reliability Challenge

    Shiguang Wang;Dong Wang;Lu Su;Lance Kaplan

  • FairFL: A Fair Federated Learning Approach to Reducing Demographic Bias in Privacy-Sensitive Classification Models

    Daniel Yue Zhang;Ziyi Kou;Dong Wang

  • Flexible and Creative Chinese Poetry Generation Using Neural Memory

    Jiyuan Zhang;Yang Feng;Dong Wang;Yang Wang

  • Exploitation of Physical Constraints for Reliable Social Sensing

    Dong Wang;Tarek Abdelzaher;Lance Kaplan;Raghu Ganti

  • On robust truth discovery in sparse social media sensing

    Daniel Yue Zhang;Rungang Han;Dong Wang;Chao Huang

  • CrowdLearn: A Crowd-AI Hybrid System for Deep Learning-based Damage Assessment Applications

    Daniel Zhang;Yang Zhang;Qi Li;Thomas Plummer

  • On Bayesian interpretation of fact-finding in information networks

    Dong Wang;Tarek Abdelzaher;Hossein Ahmadi;Jeff Pasternack

  • A Real-Time and Non-Cooperative Task Allocation Framework for Social Sensing Applications in Edge Computing Systems

    Daniel Zhang;Yue Ma;Yang Zhang;Suwen Lin

  • A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection

    Unknown

  • Graph similarity search with edit distance constraint in large graph databases

    Weiguo Zheng;Lei Zou;Xiang Lian;Dong Wang

  • Cooperative-Competitive Task Allocation in Edge Computing for Delay-Sensitive Social Sensing

    Daniel Zhang;Yue Ma;Chao Zheng;Yang Zhang

Frequent Co-Authors

Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Lance Kaplan
Lance Kaplan United States Army Research Laboratory
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Dongyan Zhao
Dongyan Zhao Peking University
Nitesh V. Chawla
Nitesh V. Chawla University of Notre Dame
Heng Ji
Heng Ji University of Illinois at Urbana-Champaign
Boleslaw K. Szymanski
Boleslaw K. Szymanski Rensselaer Polytechnic Institute
Lu Su
Lu Su Purdue University West Lafayette
Amotz Bar-Noy
Amotz Bar-Noy City University of New York
Feng Zhao
Feng Zhao Microsoft (United States)

External Links

Personal website of Dong Wang Google Scholar page

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Related Online Degrees & Career Pathways

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Online programs are a flexible option for students with work or family commitments. For those seeking a convenient path, consider a computer science degree online. Accelerated online courses allow you to complete your degree faster and often at a lower cost than traditional programs.

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Best Scientists Citing Dong Wang

Tarek Abdelzaher

Tarek Abdelzaher

University of Illinois at Urbana-Champaign

Publications: 51

Lu Su

Lu Su

Purdue University West Lafayette

Publications: 35

Lance Kaplan

Lance Kaplan

United States Army Research Laboratory

Publications: 25

Jing Gao

Jing Gao

Purdue University West Lafayette

Publications: 23

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 16

Yaliang Li

Yaliang Li

Alibaba Group (China)

Publications: 14

Heng Ji

Heng Ji

University of Illinois at Urbana-Champaign

Publications: 12

Mani Srivastava

Mani Srivastava

University of California, Los Angeles

Publications: 9

Timothy J. Norman

Timothy J. Norman

University of Southampton

Publications: 8

Sajal K. Das

Sajal K. Das

Missouri University of Science and Technology

Publications: 8

Nitesh V. Chawla

Nitesh V. Chawla

University of Notre Dame

Publications: 7

Fenglong Ma

Fenglong Ma

Pennsylvania State University

Publications: 7

Adam Wierman

Adam Wierman

California Institute of Technology

Publications: 7

Shaojie Tang

Shaojie Tang

The University of Texas at Dallas

Publications: 6

Yunhao Liu

Yunhao Liu

Tsinghua University

Publications: 6

Quan Z. Sheng

Quan Z. Sheng

Macquarie University

Publications: 6

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Tel Aviv University

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Simon Gubbins

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Mark A. Bellgrove

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