World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6545
World Ranking
11555
National Ranking
144

Min Song 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 Min Song 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: 313 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Min Song 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 Min Song 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2018 - IEEE Fellow For leadership in supporting wireless networking and radio spectrum access

Overview

Min Song is affiliated with Yonsei University in South Korea and is a researcher primarily active in the field of Computer Science, with a focus on Artificial Intelligence. Their work spans several subfields including Molecular Biology, Statistics, Probability and Uncertainty, Computational Theory and Mathematics, and Management Science and Operations Research.

Their research covers a variety of main topics such as Topic Modeling, Biomedical Text Mining and Ontologies, scientometrics and bibliometrics research, Advanced Text Analysis Techniques, Computational Drug Discovery Methods, Bioinformatics and Genomic Networks, and Data Quality and Management.

Min Song has contributed to multiple publication venues, with frequent appearances in the following journals and platforms:

  • Journal of Informetrics
  • Scientometrics
  • arXiv (Cornell University)
  • Scientific Data
  • JMIR Medical Informatics

Their recent papers include:

  • "Building a PubMed knowledge graph" (2020), published in Scientific Data
  • "The pace of artificial intelligence innovations: Speed, talent, and trial-and-error" (2020), published in Journal of Informetrics
  • "Monolingual and multilingual topic analysis using LDA and BERT embeddings" (2020), published in Journal of Informetrics
  • "Pandemics are catalysts of scientific novelty: Evidence from COVID-19" (2021), published in Journal of the Association for Information Science and Technology
  • "Analysis of E-mental health research: mapping the relationship between information technology and mental healthcare" (2022), published in BMC Psychiatry

Min Song frequently collaborates with a group of coauthors, including:

  • Ying Ding
  • Yi Bu
  • Qing Xie
  • Jian Xu
  • Xin Li

In addition to journal papers, Min Song has published work in book format, including a publication titled Big Data Analytics and Knowledge Discovery (2020) through Springer Science+Business Media.

Min Song was recognized as an IEEE Fellow in 2018. The award citation notes leadership in supporting wireless networking and radio spectrum access.

Best Publications

  • Visualizing a field of research: A methodology of systematic scientometric reviews.

    Chaomei Chen;Chaomei Chen;Min Song

  • Content-Based Citation Analysis: The Next Generation of Citation Analysis

    Ying Ding;Guo Zhang;Tamy Chambers;Min Song

  • Content-based author co-citation analysis

    Yoo Kyung Jeong;Min Song;Ying Ding

  • Building a PubMed knowledge graph.

    Jian Xu;Sunkyu Kim;Min Song;Minbyul Jeong

  • A Study on the Research Trends in Library & Information Science in Korea using Topic Modeling

    Ja-Hyun Park;Min Song

  • Topic-based content and sentiment analysis of Ebola virus on Twitter and in the news

    Erin Hea-Jin Kim;Yoo Kyung Jeong;Yuyoung Kim;Keun Young Kang

  • Integration of association rules and ontologies for semantic query expansion

    Min Song;Il-Yeol Song;Xiaohua Hu;Robert B. Allen

  • PKDE4J: Entity and relation extraction for public knowledge discovery.

    Min Song;Won Chul Kim;Dahee Lee;Go Eun Heo

  • Novel Recommendation Based on Personal Popularity Tendency

    Jinoh Oh;Sun Park;Hwanjo Yu;Min Song

  • Entitymetrics: Measuring the Impact of Entities

    Ying Ding;Min Song;Jia Han;Qi Yu

  • Detecting the knowledge structure of bioinformatics by mining full-text collections

    Min Song;Su Yeon Kim

  • The pace of artificial intelligence innovations: Speed, talent, and trial-and-error

    Xuli Tang;Xin Li;Ying Ding;Min Song

  • Analysis of Twitter for 2012 South Korea Presidential Election by Text Mining Techniques

    Jung-Hwan Bae;Ji-Eun Son;Min Song

  • Building the process-drug-side effect network to discover the relationship between biological Processes and side effects

    Sejoon Lee;Kwang H Lee;Min Song;Doheon Lee

  • Analyzing the Political Landscape of 2012 Korean Presidential Election in Twitter

    Min Song;Meen Chul Kim;Yoo Kyung Jeong

  • Handbook of Research on Text and Web Mining Technologies

    Min Song;Yi-Fang Brook Wu

  • A Study on Opinion Mining of Newspaper Texts based on Topic Modeling

    Beomil Kang;Min Song;Whasun Jho

  • Monolingual and multilingual topic analysis using LDA and BERT embeddings

    Qing Xie;Xinyuan Zhang;Ying Ding;Min Song

  • Developing a hybrid dictionary-based bio-entity recognition technique

    Min Song;Hwanjo Yu;Wook Shin Han

  • Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations

    Vasiliki Foufi;Vasiliki Foufi;Tatsawan Timakum;Christophe Gaudet-Blavignac;Christophe Gaudet-Blavignac;Christian Lovis;Christian Lovis

  • KPSpotter: a flexible information gain-based keyphrase extraction system

    Min Song;Il-Yeol Song;Xiaohua Hu

  • An adaptable fine-grained sentiment analysis for summarization of multiple short online reviews

    Reinald Kim Amplayo;Min Song

Frequent Co-Authors

Ying Ding
Ying Ding The University of Texas at Austin
Il-Yeol Song
Il-Yeol Song Drexel University
Doheon Lee
Doheon Lee Korea Advanced Institute of Science and Technology
Xiaohua Hu
Xiaohua Hu Drexel University
Hua Xu
Hua Xu Yale University
Sophia Ananiadou
Sophia Ananiadou University of Manchester
Shamkant B. Navathe
Shamkant B. Navathe Georgia Institute of Technology
Chaomei Chen
Chaomei Chen Drexel University
Erjia Yan
Erjia Yan Drexel University
Karin Verspoor
Karin Verspoor RMIT University

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