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

Young-Koo Lee

D-Index & Metrics

Computer Science

D-Index
47
Citations
9530
World Ranking
6457
National Ranking
53

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
Il-Yeol Song
Il-Yeol Song Drexel University
Thien Huynh-The
Thien Huynh-The Ho Chi Minh City University of Technology and Education
Eui-Nam Huh
Eui-Nam Huh Kyung Hee University
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
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
Carson Kai-Sang Leung
Carson Kai-Sang Leung University of Manitoba

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