World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6773
World Ranking
8874
National Ranking
6

Keun Ho Ryu 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 Keun Ho Ryu 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: 432 publications — 89th percentile

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

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

Keun Ho Ryu 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 Keun Ho Ryu 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: 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.

Overview

Keun Ho Ryu is affiliated with Chungbuk National University in South Korea. Their research spans multiple fields, primarily situated at the intersection of computer science, biochemistry, genetics and molecular biology, and medicine.

The main fields of study in their work include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology
  • Medicine

They have also contributed extensively to several subfields, such as:

  • Artificial Intelligence
  • Molecular Biology
  • Health Information Management
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research

Keun Ho Ryu's research focuses on a range of topics, including:

  • Artificial Intelligence in Healthcare
  • Topic Modeling
  • Biomedical Text Mining and Ontologies
  • Machine Learning in Healthcare
  • Imbalanced Data Classification Techniques
  • Traditional Chinese Medicine Studies
  • Time Series Analysis and Forecasting

The scientist has established collaboration with several frequent co-authors identified as:

  • Van-Huy Pham
  • Nipon Theera-Umpon
  • Lkhagvadorj Munkhdalai
  • Khishigsuren Davagdorj
  • Tsatsral Amarbayasgalan

Their publications have appeared regularly in several venues, particularly:

  • IEEE Access
  • International Journal of Environmental Research and Public Health
  • Applied Sciences
  • Sensors
  • Computational and Mathematical Methods in Medicine

Selected recent papers include:

  • XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction, 2020, International Journal of Environmental Research and Public Health
  • An Efficient Prediction Method for Coronary Heart Disease Risk Based on Two Deep Neural Networks Trained on Well-Ordered Training Datasets, 2021, IEEE Access
  • Unsupervised Anomaly Detection Approach for Time-Series in Multi-Domains Using Deep Reconstruction Error, 2020, Symmetry
  • Explainable Artificial Intelligence Based Framework for Non-Communicable Diseases Prediction, 2021, IEEE Access
  • A Comparative Analysis of Machine Learning Methods for Class Imbalance in a Smoking Cessation Intervention, 2020, Applied Sciences

In addition to journal publications, Keun Ho Ryu has authored a book published by Springer Nature titled Advances in Intelligent Information Hiding and Multimedia Signal Processing (2021).

Best Publications

  • The CHEMDNER corpus of chemicals and drugs and its annotation principles.

    Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

  • Landslide susceptibility mapping in Injae, Korea, using a decision tree

    Young-Kwang Yeon;Jong-Gyu Han;Keun Ho Ryu

  • Mining association rules on significant rare data using relative support

    Hyunyoon Yun;Danshim Ha;Buhyun Hwang;Keun Ho Ryu

  • Semantic-Emotion Neural Network for Emotion Recognition From Text

    Erdenebileg Batbaatar;Meijing Li;Keun Ho Ryu

  • Comparing the normalization methods for the differential analysis of Illumina high-throughput RNA-Seq data.

    Peipei Li;Yongjun Piao;Ho Sun Shon;Keun Ho Ryu

  • High utility itemset mining with techniques for reducing overestimated utilities and pruning candidates

    Unil Yun;Heungmo Ryang;Keun Ho Ryu

  • An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments

    Lkhagvadorj Munkhdalai;Tsendsuren Munkhdalai;Oyun-Erdene Namsrai;Jong Yun Lee

  • Mining biosignal data: coronary artery disease diagnosis using linear and nonlinear features of HRV

    Heon Gyu Lee;Ki Yong Noh;Keun Ho Ryu

  • HOXA9, ISL1 and ALDH1A3 methylation patterns as prognostic markers for nonmuscle invasive bladder cancer: Array‐based DNA methylation and expression profiling

    Yong June Kim;Hyung Yoon Yoon;Ji Sang Kim;Ho Won Kang

  • Sliding window based weighted maximal frequent pattern mining over data streams

    Gangin Lee;Unil Yun;Keun Ho Ryu

  • Unsupervised Novelty Detection Using Deep Autoencoders with Density Based Clustering

    Tsatsral Amarbayasgalan;Bilguun Jargalsaikhan;Keun Ho Ryu

  • Air Pollution Monitoring System based on Geosensor Network

    Young Jin Jung;Yang Koo Lee;Dong Gyu Lee;Keun Ho Ryu

  • Efficient frequent pattern mining based on Linear Prefix tree

    Gwangbum Pyun;Unil Yun;Keun Ho Ryu

  • A Novel DBSCAN-Based Defect Pattern Detection and Classification Framework for Wafer Bin Map

    Cheng Hao Jin;Hyuk Jun Na;Minghao Piao;Gouchol Pok

  • An ensemble correlation-based gene selection algorithm for cancer classification with gene expression data

    Yongjun Piao;Minghao Piao;Kiejung Park;Keun Ho Ryu

  • Mining maximal frequent patterns by considering weight conditions over data streams

    Unil Yun;Gangin Lee;Keun Ho Ryu

  • XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction.

    Khishigsuren Davagdorj;Van Huy Pham;Nipon Theera-Umpon;Keun Ho Ryu;Keun Ho Ryu

  • Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction

    Lkhagvadorj Munkhdalai;Tsendsuren Munkhdalai;Kwang Ho Park;Heon Gyu Lee

  • A method for predicting future location of mobile user for location-based services system

    Thi Hong Nhan Vu;Keun Ho Ryu;Namkyu Park

  • A Data Mining Approach for Coronary Heart Disease Prediction using HRV Features and Carotid Arterial Wall Thickness

    Heon Gyu Lee;Ki Yong Noh;Keun Ho Ryu

  • Temporal moving pattern mining for location-based service

    Jun Wook Lee;Ok Hyun Paek;Keun Ho Ryu

  • Subspace Projection Method Based Clustering Analysis in Load Profiling

    Minghao Piao;Ho Sun Shon;Jong Yun Lee;Keun Ho Ryu

Frequent Co-Authors

Unil Yun
Unil Yun Sejong University
Wun-Jae Kim
Wun-Jae Kim Chungbuk National University
Jaewoo Kang
Jaewoo Kang Korea University
David Gilbert
David Gilbert Brunel University London
Dongwon Lee
Dongwon Lee Pennsylvania State University
Tae-Wook Kim
Tae-Wook Kim Jeonbuk National University
Huidong Shi
Huidong Shi Augusta University
Rong Xiang
Rong Xiang Nankai University
Tim Rocktäschel
Tim Rocktäschel University College London

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