World's Best Scientists 2026 revealed!
Jaewoo Kang

Jaewoo Kang

D-Index & Metrics

Computer Science

D-Index
49
Citations
16486
World Ranking
5760
National Ranking
41

Jaewoo Kang 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 Jaewoo Kang 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: 213 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Jaewoo Kang 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 Jaewoo Kang 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Jaewoo Kang is affiliated with Korea University in South Korea and has a research focus primarily within the field of Computer Science, contributing extensively to Artificial Intelligence, Molecular Biology, and related interdisciplinary areas.

The scientist's recent publications cover a range of topics and venues, including:

  • Building a PubMed knowledge graph, 2020, Scientific Data
  • BERN2: an advanced neural biomedical named entity recognition and normalization tool, 2022, Bioinformatics
  • Graph Transformer Networks: Learning meta-path graphs to improve GNNs, 2022, Neural Networks
  • Crowdsourced mapping of unexplored target space of kinase inhibitors, 2021, Nature Communications
  • Improved survival analysis by learning shared genomic information from pan-cancer data, 2020, Bioinformatics

Frequent coauthors in Jaewoo Kang's publications include:

  • Mujeen Sung (22 collaborations)
  • Minbyul Jeong (21 collaborations)
  • Sunkyu Kim (20 collaborations)
  • Mogan Gim (17 collaborations)
  • Jinhyuk Lee (15 collaborations)

The venues in which the scientist frequently publishes are:

  • arXiv (Cornell University) with 61 publications
  • Bioinformatics with 10 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 6 publications
  • IEEE Access with 5 publications
  • Database with 3 publications

Main fields of study encompass Computer Science with a subfield emphasis on:

  • Artificial Intelligence (124 publications)
  • Molecular Biology (58 publications)
  • Computer Vision and Pattern Recognition (31 publications)
  • Computational Theory and Mathematics (18 publications)
  • Information Systems (10 publications)

The primary research topics covered in the scientist's work include:

  • Topic Modeling (104 publications)
  • Natural Language Processing Techniques (68 publications)
  • Biomedical Text Mining and Ontologies (44 publications)
  • Computational Drug Discovery Methods (34 publications)
  • Multimodal Machine Learning Applications (32 publications)
  • Bioinformatics and Genomic Networks (18 publications)
  • Advanced Graph Neural Networks (16 publications)

Best Publications

  • BioBERT: a pre-trained biomedical language representation model for biomedical text mining.

    Jinhyuk Lee;Wonjin Yoon;Sungdong Kim;Donghyeon Kim

  • DSigDB: drug signatures database for gene set analysis

    Minjae Yoo;Jimin Shin;Jihye Kim;Karen A. Ryall

  • Evaluating window joins over unbounded streams

    J. Kang;J.F. Naughton;S.D. Viglas

  • Self-attention graph pooling

    Junhyun Lee;Inyeop Lee;Jaewoo Kang

  • Graph Transformer Networks

    Seongjun Yun;Minbyul Jeong;Raehyun Kim;Jaewoo Kang

  • Catching the boat with Strudel: experiences with a Web-site management system

    Mary Fernández;Daniela Florescu;Jaewoo Kang;Alon Levy

  • Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

    Michael P Menden;Michael P Menden;Dennis Wang;Dennis Wang;Mike J Mason;Bence Szalai;Bence Szalai;Bence Szalai

  • On schema matching with opaque column names and data values

    Jaewoo Kang;Jeffrey F. Naughton

  • The Niagara Internet Query System.

    Jeffrey F. Naughton;David J. DeWitt;David Maier;Ashraf Aboulnaga

  • HOTR: End-to-End Human-Object Interaction Detection with Transformers

    Bumsoo Kim;Junhyun Lee;Jaewoo Kang;Eun-Sol Kim

  • STRUDEL: a Web site management system

    Mary Fernandez;Daniela Florescu;Jaewoo Kang;Alon Levy

  • CollaboNet: collaboration of deep neural networks for biomedical named entity recognition

    Wonjin Yoon;Chan Ho So;Jinhyuk Lee;Jaewoo Kang

  • Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation

    Buru Chang;Yonggyu Park;Donghyeon Park;Seongsoon Kim

  • Building a PubMed knowledge graph.

    Jian Xu;Sunkyu Kim;Min Song;Minbyul Jeong

  • Comparative study of name disambiguation problem using a scalable blocking-based framework

    Byung-Won On;Dongwon Lee;Jaewoo Kang;Prasenjit Mitra

  • UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection

    Bumsoo Kim;Taeho Choi;Jaewoo Kang;Hyunwoo J. Kim

  • Biomedical Entity Representations with Synonym Marginalization

    Mujeen Sung;Hwisang Jeon;Jinhyuk Lee;Jaewoo Kang

  • Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network.

    Hwejin Jung;Bumsoo Kim;Inyeop Lee;Minhwan Yoo

  • A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining

    Donghyeon Kim;Jinhyuk Lee;Chan Ho So;Hwisang Jeon

  • Effective and scalable solutions for mixed and split citation problems in digital libraries

    Dongwon Lee;Byung-Won On;Jaewoo Kang;Sanghyun Park

Frequent Co-Authors

Aik Choon Tan
Aik Choon Tan University of Utah
Dongwon Lee
Dongwon Lee Pennsylvania State University
Julio Saez-Rodriguez
Julio Saez-Rodriguez Heidelberg University
Alon Y. Levy
Alon Y. Levy Facebook (United States)
Dan Suciu
Dan Suciu University of Washington
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Keun Ho Ryu
Keun Ho Ryu Ton Duc Thang University
Daniela Florescu
Daniela Florescu Oracle (United States)
Timothy M. Willson
Timothy M. Willson University of North Carolina at Chapel Hill
Tero Aittokallio
Tero Aittokallio University of Helsinki

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to many related degrees and career pathways, often available online for greater flexibility. Many students blend their CS studies with fields like physics, data science, or engineering for a competitive edge. If you’re interested in how computational skills apply to scientific research, a bachelor of science in physics online offers a well-rounded scientific and technical foundation.

For those seeking data-driven roles, consider an affordable data science degree to gain expertise in analytics, statistics, and big data. Alternatively, if your ambitions lie in advanced engineering, an online master’s in electrical engineering degree is a strong pathway, merging hardware knowledge with CS fundamentals.

Don’t overlook certifications that provide targeted skills for in-demand positions. Browse certifications for jobs to boost your employability without a long-term academic commitment. Each of these options complements a computer science education and helps you shape a personalized, lucrative technology career.

Best Scientists Citing Jaewoo Kang

Trending Scientists

Recently Published Articles