World's Best Scientists 2026 revealed!
Kyung-Yong Chung

Kyung-Yong Chung

D-Index & Metrics

Computer Science

D-Index
39
Citations
4920
World Ranking
9897
National Ranking
107

Kyung-Yong Chung 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 Kyung-Yong Chung 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 253 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Kyung-Yong Chung 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 Kyung-Yong Chung sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Kyung-Yong Chung is affiliated with Kyonggi University in South Korea and has contributed extensively to the field of computer science, focusing on various subfields such as computer vision and pattern recognition, artificial intelligence, information systems, health information management, and signal processing.

Their research encompasses multiple main topics including:

  • Innovation in Digital Healthcare Systems
  • Technology and Data Analysis
  • Anomaly Detection Techniques and Applications
  • Diverse Approaches in Healthcare and Education Studies
  • Traffic Prediction and Management Techniques
  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods

Chung's recent published work includes the following papers:

  • Prediction Model of Dementia Risk Based on XGBoost Using Derived Variable Extraction and Hyper Parameter Optimization, 2020, IEEE Access
  • Context Deep Neural Network Model for Predicting Depression Risk Using Multiple Regression, 2020, IEEE Access
  • Multimedia knowledge-based bridge health monitoring using digital twin, 2021, Multimedia Tools and Applications
  • Pothole Classification Model Using Edge Detection in Road Image, 2020, Applied Sciences
  • Prediction of Traffic Congestion Based on LSTM Through Correction of Missing Temporal and Spatial Data, 2020, IEEE Access

The scientist frequently publishes in several venues, notably:

  • IEEE Access
  • Applied Sciences
  • The Journal of Korean Institute of Information Technology
  • Multimedia Tools and Applications
  • KSII Transactions on Internet and Information Systems

Collaboration is a significant aspect of Chung's work, with frequent co-authors including Ji-Won Baek, Hyun Yoo, Roy C. Park, JiSoo Kang, and Seo-El Lee.

Best Publications

  • Chatbot-based heathcare service with a knowledge base for cloud computing

    Kyungyong Chung;Roy C. Park

  • Ontology-based healthcare context information model to implement ubiquitous environment

    Jonghun Kim;Kyung-Yong Chung

  • Factors influencing the acceptance of telemedicine for diabetes management

    Mi Jung Rho;Hun Sung Kim;Kyungyong Chung;In Young Choi

  • Knowledge-based dietary nutrition recommendation for obese management

    Hoill Jung;Kyungyong Chung

  • Item recommendation based on context-aware model for personalized u-healthcare service

    Jonghun Kim;Daesung Lee;Kyung-Yong Chung

  • Prediction Model of Dementia Risk Based on XGBoost Using Derived Variable Extraction and Hyper Parameter Optimization

    Seong-Eun Ryu;Dong-Hoon Shin;Kyungyong Chung

  • Emergency situation monitoring service using context motion tracking of chronic disease patients

    Sung-Ho Kim;Kyungyong Chung

  • Multimedia knowledge‐based bridge health monitoring using digital twin

    Ji-Soo Kang;Kyungyong Chung;Ellen J. Hong

  • Context Deep Neural Network Model for Predicting Depression Risk Using Multiple Regression

    Ji-Won Baek;Kyungyong Chung

  • Home Health Gateway Based Healthcare Services Through U-Health Platform

    Eun-Young Jung;Jong-Hun Kim;Kyung-Yong Chung;Dong Kyun Park

  • Ontology driven interactive healthcare with wearable sensors

    Jonghun Kim;Jaekwon Kim;Daesung Lee;Kyung-Yong Chung

  • P2P cloud network services for IoT based disaster situations information

    Kyungyong Chung;Roy C. Park

  • Influential Factors of Smart Health Users according to Usage Experience and Intention to Use

    Bo Ram Wang;Ji-Yun Park;Kyungyong Chung;In Young Choi

  • Mobile healthcare application with EMR interoperability for diabetes patients

    Eun-Young Jung;Jonghun Kim;Kyung-Yong Chung;Dong Kyun Park

  • Pothole Classification Model Using Edge Detection in Road Image

    Ji-Won Baek;Kyungyong Chung

  • Sequential pattern profiling based bio-detection for smart health service

    Hoill Jung;Kyungyong Chung

  • Prediction of Traffic Congestion Based on LSTM Through Correction of Missing Temporal and Spatial Data

    Dong-Hoon Shin;Kyungyong Chung;Roy C. Park

  • Development of a medical big-data mining process using topic modeling

    Chang-Woo Song;Hoill Jung;Kyungyong Chung

  • Blockchain Network Based Topic Mining Process for Cognitive Manufacturing

    Kyungyong Chung;Hyun Yoo;Doeun Choe;Hoill Jung

  • Knowledge-based health service considering user convenience using hybrid Wi-Fi P2P

    Kyungyong Chung;Joo-Chang Kim;Roy C. Park

  • Associative Feature Information Extraction Using Text Mining from Health Big Data

    Joo-Chang Kim;Kyungyong Chung

  • Medical information service system based on human 3D anatomical model

    Sung-Ho Kim;Kyung-Yong Chung

Frequent Co-Authors

Raouf Boutaba
Raouf Boutaba University of Waterloo
Mitsuo Gen
Mitsuo Gen Tokyo University of Science
Salim Hariri
Salim Hariri University of Arizona
Kihwan Kim
Kihwan Kim Nvidia (United Kingdom)
JongWon Kim
JongWon Kim Gwangju Institute of Science and Technology
Jason J. Jung
Jason J. Jung Chung-Ang University

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