World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
72
Citations
17112
World Ranking
1708
National Ranking
870

Dongwon Lee 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 Dongwon Lee 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: 363 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Dongwon Lee 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 Dongwon Lee 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: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Dongwon Lee is affiliated with Pennsylvania State University in the United States and specializes in the field of Computer Science. Their research output encompasses 207 publications, with a focus on several subfields including Artificial Intelligence, Information Systems, Sociology and Political Science, Computer Networks and Communications, and Computer Vision and Pattern Recognition.

Their main research topics cover diverse areas such as:

  • Topic Modeling
  • Misinformation and Its Impacts
  • Hate Speech and Cyberbullying Detection
  • Natural Language Processing Techniques
  • Authorship Attribution and Profiling
  • Educational Research and Pedagogy
  • Education and Learning Interventions

Some of Dongwon Lee's recent publications include:

  • FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media (2020, Big Data)
  • CoAID: COVID-19 Healthcare Misinformation Dataset (2020, arXiv - Cornell University)
  • A systematic review on fake news research through the lens of news creation and consumption: Research efforts, challenges, and future directions (2021, PLoS ONE)
  • ChamberBreaker: Mitigating the Echo Chamber Effect and Supporting Information Hygiene through a Gamified Inoculation System (2021, Proceedings of the ACM on Human-Computer Interaction)
  • LSTM-based throughput prediction for LTE networks (2021, ICT Express)

The scientist collaborates frequently with several other researchers, including:

  • Thai Le
  • Adaku Uchendu
  • Aiping Xiong
  • Michiharu Yamashita
  • Haeseung Seo

Dongwon Lee's work is often published in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • The Korean Association of Practical Arts Education
  • Journal of Korean Practical Arts Education
  • Proceedings of the ACM Web Conference 2022

Best Publications

  • FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

    Kai Shu;Deepak Mahudeswaran;Suhang Wang;Dongwon Lee

  • Taxonomy of XML schema languages using formal language theory

    Makoto Murata;Dongwon Lee;Murali Mani;Kohsuke Kawaguchi

  • Design of a synthetic yeast genome

    Sarah M. Richardson;Sarah M. Richardson;Leslie A. Mitchell;Leslie A. Mitchell;Giovanni Stracquadanio;Giovanni Stracquadanio;Giovanni Stracquadanio;Kun Yang;Kun Yang

  • Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features

    Mahmoud Ghandi;Dongwon Lee;Morteza Mohammad-Noori;Michael A. Beer

  • dEFEND: Explainable Fake News Detection

    Kai Shu;Limeng Cui;Suhang Wang;Dongwon Lee

  • “Fake News” Is Not Simply False Information: A Concept Explication and Taxonomy of Online Content:

    Maria D. Molina;S. Shyam Sundar;Thai Le;Dongwon Lee

  • Comparative analysis of six XML schema languages

    Dongwon Lee;Wesley W. Chu

  • ON THE EXPLANATION OF FACTORS AFFECTING E-COMMERCE ADOPTION

    Dongwon Lee;Jinsoo Park;Joongho Ahn

  • Risk-Focused E-Commerce Adoption Model: A Cross-Country Study

    Jinsoo Park;Dongwon Lee;Joongho Ahn

  • The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics

    Steven Bird;Robert Dale;Bonnie J. Dorr;Bryan R. Gibson

  • Effective Web Service Composition in Diverse and Large-Scale Service Networks

    S.-C. Oh;D. Lee;S.R. Kumara

  • FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

    Kai Shu;Deepak Mahudeswaran;Suhang Wang;Dongwon Lee

  • Constraints-preserving transformation from XML document type deffinition to relational schema

    Dongwon Lee;Wesley W. Chu

  • Adaptive sorted neighborhood methods for efficient record linkage

    Su Yan;Dongwon Lee;Min-Yen Kan;Lee C. Giles

  • On six degrees of separation in DBLP-DB and more

    Ergin Elmacioglu;Dongwon Lee

  • Generation Like: Comparative Characteristics in Instagram

    Jin Yea Jang;Kyungsik Han;Patrick C. Shih;Dongwon Lee

  • gkmSVM: an R package for gapped-kmer SVM

    Mahmoud Ghandi;Morteza Mohammad-Noori;Narges Ghareghani;Dongwon Lee

  • Taxonomy of XML schema languages using formal language theory

    Makoto Murata;Dongwon Lee;Murali Mani

  • CoAID: COVID-19 Healthcare Misinformation Dataset

    Limeng Cui;Dongwon Lee

  • NeT & CoT: translating relational schemas to XML schemas using semantic constraints

    Dongwon Lee;Murali Mani;Frank Chiu;Wesley W. Chu

Frequent Co-Authors

Gilson Khang
Gilson Khang Jeonbuk National University
Wesley W. Chu
Wesley W. Chu University of California, Los Angeles
Robert J. Kauffman
Robert J. Kauffman Singapore Management University
Jaewoo Kang
Jaewoo Kang Korea University
Bansi D. Malhotra
Bansi D. Malhotra Delhi Technological University
Suhang Wang
Suhang Wang Pennsylvania State University
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Soundar R. T. Kumara
Soundar R. T. Kumara Pennsylvania State University
Mark Bergen
Mark Bergen University of Minnesota
Wang-Chien Lee
Wang-Chien Lee Pennsylvania State University

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