World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
8350
World Ranking
4605
National Ranking
115

Kil To Chong publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Kil To Chong sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 508 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Kil To Chong D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Kil To Chong sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Kil To Chong

Trending Scientists

Recently Published Articles