World's Best Scientists 2026 revealed!
Young-Koo Lee

Young-Koo Lee

D-Index & Metrics

Computer Science

D-Index
47
Citations
9530
World Ranking
6458
National Ranking
53

Young-Koo 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 Young-Koo 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: 400 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Young-Koo 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 Young-Koo 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Young-Koo Lee is affiliated with Kyung Hee University in South Korea and has contributed extensively to the field of computer science. Their research primarily spans several subfields, including computer vision and pattern recognition, artificial intelligence, information systems, orthopedics and sports medicine, and computer networks and communications.

The scientist's work covers a variety of main topics such as graph theory and algorithms, semantic web and ontologies, advanced graph neural networks, video surveillance and tracking methods, web data mining and analysis, foot and ankle surgery, and advanced image and video retrieval techniques.

Frequent coauthors collaborating with Young-Koo Lee include Tangina Sultana, Aftab Alam, Tariq Habib Afridi, Md Golam Morshed, and Irfan Ullah.

Among notable recent publications are:

  • Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities (2023) in Sensors
  • Depression Level Prediction Using Deep Spatiotemporal Features and Multilayer Bi-LTSM (2020) in IEEE Transactions on Affective Computing
  • Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues (2020) in IEEE Access
  • RweetMiner: Automatic identification and categorization of help requests on twitter during disasters (2021) in Expert Systems with Applications
  • Toward efficient and intelligent video analytics with visual privacy protection for large-scale surveillance (2021) in The Journal of Supercomputing

Young-Koo Lee has published multiple works in certain venues, with the most frequent being IEEE Access, Sensors, The Journal of Supercomputing, Clinics in Orthopedic Surgery, and Lecture Notes in Networks and Systems.

In addition to journal articles, Lee has contributed to books published by Springer Science+Business Media, notably "Web and Big Data" released in 2020.

Best Publications

  • Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases

    C.F. Ahmed;S.K. Tanbeer;Byeong-Soo Jeong;Young-Koo Lee

  • A Triaxial Accelerometer-Based Physical-Activity Recognition via Augmented-Signal Features and a Hierarchical Recognizer

    A M Khan;Young-Koo Lee;S Y Lee;Tae-Seong Kim

  • Human Activity Recognition via an Accelerometer-Enabled-Smartphone Using Kernel Discriminant Analysis

    A. M. Khan;Y.-K. Lee;S. Y. Lee;T.-S. Kim

  • Improved trust-aware recommender system using small-worldness of trust networks

    Weiwei Yuan;Donghai Guan;Young-Koo Lee;Sungyoung Lee

  • Discovering Periodic-Frequent Patterns in Transactional Databases

    Syed Khairuzzaman Tanbeer;Chowdhury Farhan Ahmed;Byeong-Soo Jeong;Young-Koo Lee

  • Sliding window-based frequent pattern mining over data streams

    Syed Khairuzzaman Tanbeer;Chowdhury Farhan Ahmed;Byeong-Soo Jeong;Young-Koo Lee

  • Efficient single-pass frequent pattern mining using a prefix-tree

    Syed Khairuzzaman Tanbeer;Chowdhury Farhan Ahmed;Byeong-Soo Jeong;Young-Koo Lee

  • Vessel enhancement filter using directional filter bank

    Phan T. H. Truc;Md. A. U. Khan;Young-Koo Lee;Sungyoung Lee

  • Activity Recognition Based on Semi-supervised Learning

    Donghai Guan;Weiwei Yuan;Young-Koo Lee;A. Gavrilov

  • CoMine: efficient mining of correlated patterns

    Y.-K. Lee;W.-Y. Kim;D. Cai;J. Han

  • A Review of Ensemble Learning Based Feature Selection

    Donghai Guan;Weiwei Yuan;Young-Koo Lee;Kamran Najeebullah

  • Accelerometer signal-based human activity recognition using augmented autoregressive model coefficients and artificial neural nets

    A. M. Khan;Y. K. Lee;T.-S. Kim

  • Daily life activity tracking application for smart homes using android smartphone

    Muhammad Fahim;Iram Fatima;Sungyoung Lee;Young-Koo Lee

  • A trust model for ubiquitous systems based on vectors of trust values

    H. Jameel;Le Xuan Hung;U. Kalim;A. Sajjad

  • Accelerometer’s position independent physical activity recognition system for long-term activity monitoring in the elderly

    Adil Mehmood Khan;Young-Koo Lee;Sungyoung Lee;Tae-Seong Kim

  • Comprehensive Context Recognizer Based on Multimodal Sensors in a Smartphone

    Manhyung Han;Young-Koo Lee;Sungyoung Lee

  • A Unified Framework for Activity Recognition-Based Behavior Analysis and Action Prediction in Smart Homes

    Iram Fatima;Muhammad Fahim;Young Koo Lee;Sungyoung Lee

  • Semi-Markov conditional random fields for accelerometer-based activity recognition

    Sungyoung Lee;Hung Xuan Le;Hung Quoc Ngo

  • CP-tree: a tree structure for single-pass frequent pattern mining

    Syed Khairuzzaman Tanbeer;Chowdhury Farhan Ahmed;Byeong-Soo Jeong;Young-Koo Lee

  • TTM: An Efficient Mechanism to Detect Wormhole Attacks in Wireless Ad-hoc Networks

    Phuong Van Tran;Le Xuan Hung;Young-Koo Lee;Sungyoung Lee

Frequent Co-Authors

Sungyoung Lee
Sungyoung Lee Kyung Hee University
Tae-Seong Kim
Tae-Seong Kim Kyung Hee University
Heejo Lee
Heejo Lee Korea University
Il-Yeol Song
Il-Yeol Song Drexel University
Thien Huynh-The
Thien Huynh-The Ho Chi Minh City University of Technology and Education
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Eui-Nam Huh
Eui-Nam Huh Kyung Hee University
Mohammad Mehedi Hassan
Mohammad Mehedi Hassan King Saud University
Han-Chieh Chao
Han-Chieh Chao Fo Guang University
Kwang-Cheng Chen
Kwang-Cheng Chen University of South Florida

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