World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
8350
World Ranking
4603
National Ranking
115

Overview

Kil To Chong is affiliated with Jeonbuk National University in South Korea. Their research spans multiple disciplines, with a primary focus on biochemistry, genetics, and molecular biology, complemented by work in engineering. The scientist has contributed extensively to subfields including molecular biology, electrical and electronic engineering, computational theory and mathematics, control and systems engineering, and materials chemistry.

The scientist's work addresses a number of key topics including:

  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms
  • Computational Drug Discovery Methods
  • Genomics and Phylogenetic Studies
  • RNA modifications and cancer
  • Microgrid Control and Optimization
  • Advanced DC-DC Converters

Kil To Chong has an extensive publication record in various scientific journals. The frequent venues for their research include:

  • Computers in Biology and Medicine
  • International Journal of Molecular Sciences
  • Chemometrics and Intelligent Laboratory Systems
  • IEEE Access
  • IEEE Transactions on Power Electronics

Recent publications highlight multidisciplinary research activities crossing biomedical and engineering domains. Notable recent papers include:

  • Early and accurate detection and diagnosis of heart disease using intelligent computational model, 2020, Scientific Reports
  • Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives, 2023, Journal of Chemical Information and Modeling
  • PUResNet: prediction of protein-ligand binding sites using deep residual neural network, 2021, Journal of Cheminformatics
  • BU-Net: Brain Tumor Segmentation Using Modified U-Net Architecture, 2020, Electronics
  • BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder-Decoder Network, 2021, Diagnostics

The scientist has collaborated frequently with various researchers over their career. Key frequent coauthors include:

  • Hilal Tayara
  • Mobeen Ur Rehman
  • Bo Long
  • José Rodríguez
  • Josep M. Guerrero

Best Publications

  • Induction Machine Condition Monitoring Using Neural Network Modeling

    Hua Su;Kil To Chong

  • Application of the recurrent multilayer perceptron in modeling complex process dynamics

    A.G. Parlos;K.T. Chong;A.F. Atiya

  • Early and accurate detection and diagnosis of heart disease using intelligent computational model.

    Yar Muhammad;Muhammad Tahir;Maqsood Hayat;Kil To Chong

  • DeePromoter: Robust Promoter Predictor Using Deep Learning.

    Mhaned Oubounyt;Zakaria Louadi;Hilal Tayara;Kil To Chong

  • Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network

    Hilal Tayara;Kim Gil Soo;Kil To Chong

  • PUResNet: prediction of protein-ligand binding sites using deep residual neural network.

    Jeevan Kandel;Hilal Tayara;Kil To Chong

  • BU-Net: Brain Tumor Segmentation Using Modified U-Net Architecture

    Mobeen Ur Rehman;SeungBin Cho;Jee Hong Kim;Kil To Chong

  • Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network.

    Hilal Tayara;Kil To Chong

  • iRNA-PseKNC(2methyl): Identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components.

    Muhammad Tahir;Hilal Tayara;Kil To Chong

  • iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC

    Iman Nazari;Muhammad Tahir;Muhammad Tahir;Hilal Tayara;Kil To Chong

  • Vibration signal analysis for electrical fault detection of induction machine using neural networks

    Hua Su;Kil To Chong;R. Ravi Kumar

  • RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames

    Unknown

  • Control-Relevant Discretization of Nonlinear Systems With Time-Delay Using Taylor-Lie Series

    Nikolaos Kazantzis;K. T. Chong;J. H. Park;Alexander G. Parlos

  • A Lyapunov function approach to longitudinal control of vehicles in a platoon

    Tae Soo no;Kil-To Chong;Do-Hwan Roh

  • iDNA6mA (5-step rule): Identification of DNA N6-methyladenine sites in the rice genome by intelligent computational model via Chou's 5-step rule

    Muhammad Tahir;Muhammad Tahir;Hilal Tayara;Kil To Chong

  • BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder-Decoder Network.

    Mobeen Ur Rehman;SeungBin Cho;Jeehong Kim;Kil To Chong

  • Impedance control for a vehicle platoon system

    Soo-Yeong Yi;Kil-To Chong

  • MPC-Controlled Virtual Synchronous Generator to Enhance Frequency and Voltage Dynamic Performance in Islanded Microgrids

    Bo Long;Yong Liao;Kil To Chong;Jose Rodriguez

  • iPseU-CNN: Identifying RNA Pseudouridine Sites Using Convolutional Neural Networks.

    Muhammad Tahir;Muhammad Tahir;Hilal Tayara;Kil To Chong

  • Nitrogen-Doped Graphene-Encapsulated Nickel Cobalt Nitride as a Highly Sensitive and Selective Electrode for Glucose and Hydrogen Peroxide Sensing Applications

    Thangasamy Deepalakshmi;Duy Thanh Tran;Nam Hoon Kim;Kil To Chong

  • Nonlinear identification of process dynamics using neural networks

    Alexander G. Parlos;Amir F. Atiya;Kil T. Chong;Wei K. Tsai

  • Vehicle longitudinal brake control using variable parameter sliding control

    Hong Liang;Kil To Chong;Tae Soo No;Soo-Yeong Yi

Frequent Co-Authors

Maqsood Hayat
Maqsood Hayat Abdul Wali Khan University Mardan
Hyongsuk Kim
Hyongsuk Kim Jeonbuk National University
Amir F. Atiya
Amir F. Atiya Cairo University
Nikolaos Kazantzis
Nikolaos Kazantzis Monash University
Jose Rodriguez
Jose Rodriguez San Sebastián University
Jinde Cao
Jinde Cao Southeast University
Josep M. Guerrero
Josep M. Guerrero Universitat Politècnica de Catalunya
Joong Hee Lee
Joong Hee Lee Jeonbuk National University
Quan Zou
Quan Zou University of Electronic Science and Technology of China
Nam Hoon Kim
Nam Hoon Kim Jeonbuk National University

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