World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
14141
World Ranking
4742
National Ranking
28

Electronics and Electrical Engineering

D-Index
47
Citations
10227
World Ranking
3179
National Ranking
91

Overview

Jong-Hwan Kim is affiliated with the Korea Advanced Institute of Science and Technology in South Korea, focusing on research predominantly in the fields of computer science and engineering. Their work spans a broad range of topics within these disciplines, including computer vision, artificial intelligence, aerospace engineering, food science, and pollution.

The scientist has contributed notably to various specialized subfields, such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Food Science
  • Pollution

Research topics that frequently appear in their publications include:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Multimodal Machine Learning Applications
  • Pesticide Residue Analysis and Safety
  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging

Jong-Hwan Kim has collaborated extensively with a number of co-authors, with key frequent collaborators including:

  • Ue-Hwan Kim
  • Jong-Su Seo
  • Yeong-Jin Kim
  • Ji-Young An
  • Yewon Hwang

The scientist's recent papers illustrate an emphasis on applications of artificial intelligence and computer vision in practical scenarios. Some notable recent publications are:

  • Individualized AI Tutor Based on Developmental Learning Networks, 2020, IEEE Access
  • SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection, 2020, IEEE Transactions on Cybernetics
  • MarsNet: Multi-Label Classification Network for Images of Various Sizes, 2020, IEEE Access
  • Convolutional Neural Network With Developmental Memory for Continual Learning, 2020, IEEE Transactions on Neural Networks and Learning Systems

Jong-Hwan Kim's research is published widely, especially in venues such as:

  • arXiv (Cornell University)
  • IEEE Access
  • Scientific Reports
  • Zenodo (CERN European Organization for Nuclear Research)
  • Foods

In addition to journal articles, the scientist has contributed to book publications through Springer International Publishing and Springer Nature, with works including:

  • Robot Intelligence Technology and Applications 6, 2022
  • RiTA 2020, 2021

Best Publications

  • Quantum-inspired evolutionary algorithm for a class of combinatorial optimization

    Kuk-Hyun Han;Jong-Hwan Kim

  • Genetic quantum algorithm and its application to combinatorial optimization problem

    Kuk-Hyun Han;Jong-Hwan Kim

  • Sliding mode control for trajectory tracking of nonholonomic wheeled mobile robots

    Jong-Min Yang;Jong-Hwan Kim

  • Quantum-inspired evolutionary algorithms with a new termination criterion, H/sub /spl epsi// gate, and two-phase scheme

    Kuk-Hyun Han;Jong-Hwan Kim

  • Parallel quantum-inspired genetic algorithm for combinatorial optimization problem

    Kuk-Hyun Han;Kui-Hong Park;Ci-Ho Lee;Jong-Hwan Kim

  • Evolutionary programming techniques for constrained optimization problems

    Jong-Hwan Kim;Hyun Myung

  • Quick-RRT*: Triangular inequality-based implementation of RRT* with improved initial solution and convergence rate

    In-Bae Jeong;Seung-Jae Lee;Jong-Hwan Kim

  • Adaptive fuzzy-network-based C-measure map-matching algorithm for car navigation system

    Sinn Kim;Jong-Hwan Kim

  • A real-time limit-cycle navigation method for fast mobile robots and its application to robot soccer

    Dong-Han Kim;Jong-Hwan Kim

  • Effective Background Model-Based RGB-D Dense Visual Odometry in a Dynamic Environment

    Deok-Hwa Kim;Jong-Hwan Kim

  • A two-layered fuzzy logic controller for systems with deadzones

    Jong-Hwan Kim;Jong-Hwan Park;Seon-Woo Lee;E.K.P. Chong

  • Fuzzy precompensation of PID controllers

    Jong-Hwan Kim;Seon-Woo Lee;Kwang-Choon Kim;E.K.P. Chong

  • Sliding Mode Motion Control of Nonholonomic Mobile Robots

    Jung-Min Yang;Jong-Hwan Kim

  • Modular Q-learning based multi-agent cooperation for robot soccer

    Kui-Hong Park;Yong-Jae Kim;Jong-Hwan Kim

  • The geometrical learning of binary neural networks

    J.H. Kim;Sung-Kwon Park

  • Quantum-inspired Multiobjective Evolutionary Algorithm for Multiobjective 0/1 Knapsack Problems

    Yehoon Kim;Jong-Hwan Kim;Kuk-Hyun Han

  • A two-step circle detection algorithm from the intersecting chords

    Heung-Soo Kim;Jong-Hwan Kim

  • A cooperative multi-agent system and its real time application to robot soccer

    J.-H. Kim;H.-S. Shim;H.-S. Kim;M.-J. Jung

  • Fuzzy precompensated PID controllers

    Jong-Hwan Kim;Kwang-Choon Kim;E.K.P. Chong

  • Laser-Based Kinematic Calibration of Robot Manipulator Using Differential Kinematics

    In-Won Park;Bum-Joo Lee;Se-Hyoung Cho;Young-Dae Hong

  • Internet Control Architecture for Internet-Based Personal Robot

    Kuk-Hyun Han;Sinn Kim;Yong-Jae Kim;Jong-Hwan Kim

Frequent Co-Authors

Jee-Hwan Ryu
Jee-Hwan Ryu Korea Advanced Institute of Science and Technology
Edwin K. P. Chong
Edwin K. P. Chong Colorado State University
Shuzhi Sam Ge
Shuzhi Sam Ge National University of Singapore
Moongu Jeon
Moongu Jeon Gwangju Institute of Science and Technology
Dong-Soo Kwon
Dong-Soo Kwon Korea Advanced Institute of Science and Technology
Blake Hannaford
Blake Hannaford University of Washington
Chris Melhuish
Chris Melhuish University of the West of England
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Sung-Bae Cho
Sung-Bae Cho Yonsei University
Alexander L. Fradkov
Alexander L. Fradkov Saint Petersburg State University

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