World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
5339
World Ranking
8967
National Ranking
107

Chee-Kong Chui 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 Chee-Kong Chui 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: 248 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Chee-Kong Chui 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 Chee-Kong Chui 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: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Chee-Kong Chui is affiliated with the National University of Singapore in Singapore. Their research spans multiple disciplines including Engineering, Computer Science, and Medicine, reflecting a multidisciplinary approach to scientific inquiry.

The primary fields of study associated with their work include:

  • Engineering
  • Computer Science
  • Medicine

Within these fields, Chui's subfields of study are diverse, covering:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Public Health, Environmental and Occupational Health
  • Information Systems

The research topics that frequently appear across their publications include:

  • Digital Imaging in Medicine
  • Cloud Computing and Resource Management
  • Heat Transfer and Optimization
  • Digital Transformation in Industry
  • Simulation-Based Education in Healthcare
  • Augmented Reality Applications
  • Reinforcement Learning in Robotics

Chui has contributed to several research papers, notable recent works include:

  • "Communication skills training using virtual reality: A descriptive qualitative study," 2020, Nurse Education Today
  • "Energy saving evaluation of an energy efficient data center using a model-free reinforcement learning approach," 2022, Applied Energy
  • "VR and AR in human performance research-An NUS experience," 2020, Virtual Reality & Intelligent Hardware
  • "Evaluation of a Theory-Based Virtual Counseling Application in Nursing Education," 2023, CIN Computers Informatics Nursing
  • "Deep reinforcement learning towards real-world dynamic thermal management of data centers," 2022, Applied Energy

Their publications frequently appear in the following venues:

  • Applied Energy
  • SSRN Electronic Journal
  • IEEE Transactions on Vehicular Technology
  • Expert Systems with Applications
  • Nurse Education Today

Chui has collaborated extensively with several coauthors, including:

  • Chin-Boon Chng (17 joint publications)
  • Poh Seng Lee (9 joint publications)
  • Pooi-Mun Wong (7 joint publications)
  • Qingang Zhang (6 joint publications)
  • Matthew Chin Heng Chua (5 joint publications)

Best Publications

  • Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation

    Bing Nan Li;Chee Kong Chui;Stephen Chang;S. H. Ong

  • Simulation method for designing customized medical devices

    James H. Anderson;William R. Brody;Chee-Kong Chui;Yiyu Cai

  • Simulation system for medical procedures

    James Anderson;Anthony Venbrux;Kieran Murphy;Meiyappan Solaiyappan

  • A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study.

    Shefaly Shorey;Emily Ang;John Yap;Esperanza Debby Ng

  • Combined compression and elongation experiments and non-linear modelling of liver tissue for surgical simulation.

    C. Chui;E. Kobayashi;X. Chen;T. Hisada

  • Apparatus for the simulation of image-guided surgery

    Chee-Kong Chui;Percy Chen;Yaoping Wang;Marcelo H. Ang

  • Fast segmentation of bone in CT images using 3D adaptive thresholding

    J. Zhang;C. H. Yan;C. K. Chui;S. H. Ong

  • A new unified level set method for semi-automatic liver tumor segmentation on contrast-enhanced CT images

    Bing Nan Li;Chee Kong Chui;Stephen Chang;Sim Heng Ong

  • Hand gesture guided robot-assisted surgery based on a direct augmented reality interface

    Rong Wen;Wei-Liang Tay;Binh P. Nguyen;Chin-Boon Chng

  • System and method of anatomical modeling

    Xuesong Chen;Chee Kong Chui;Wieslaw L. Nowinski

  • Transversely isotropic properties of porcine liver tissue: experiments and constitutive modelling.

    Chee-Kong Chui;Etsuko Kobayashi;Xian Chen;Xian Chen;Toshiaki Hisada

  • A Versatile Soft Crawling Robot with Rapid Locomotion.

    Lei Qin;Xinquan Liang;Hui Huang;Chee Kong Chui

  • Communication skills training using virtual reality: A descriptive qualitative study.

    Shefaly Shorey;Emily Ang;Esperanza Debby Ng;John Yap

  • Device for laparoscopic or thoracoscopic surgery

    Ah San Pang;Chong Jin Ong;Chee Kong Chui

  • Integrating machine learning with region-based active contour models in medical image segmentation

    Agus Pratondo;Chee-Kong Chui;Sim-Heng Ong

  • Robust Edge-Stop Functions for Edge-Based Active Contour Models in Medical Image Segmentation

    Agus Pratondo;Chee-Kong Chui;Sim-Heng Ong

  • Robust Biometric Recognition From Palm Depth Images for Gloved Hands

    Binh P. Nguyen;Wei-Liang Tay;Chee-Kong Chui

  • In vitro measurement of mechanical properties of liver tissue under compression and elongation using a new test piece holding method with surgical glue

    Ichiro Sakuma;Yosuke Nishimura;Chee Kong Chui;Etsuko Kobayashi

  • Real-time interactive simulator for percutaneous coronary revascularization procedures.

    Yaoping Wang;Cheekong Chui;Honglip Lim;Yiyu Cai

  • Computational biomechanical modelling of the lumbar spine using marching-cubes surface smoothened finite element voxel meshing

    Z. L. Wang;J. C. M. Teo;C. K. Chui;S. H. Ong

  • Transcutaneous robot-assisted ablation-device insertion navigation system

    Stephen Kin Yong Chang;Chee Kong Chui

  • Energy saving evaluation of an energy efficient data center using a model-free reinforcement learning approach

    Unknown

  • Volume Preserved Mass–Spring Model with Novel Constraints for Soft Tissue Deformation

    Yuping Duan;Weimin Huang;Huibin Chang;Wenyu Chen

  • Simulation of interventional neuroradiology procedures

    W.L. Nowinski;Chee-Kong Chui

  • Design, Characterization, and Implementation of a Two-DOF Fabric-Based Soft Robotic Arm

    Xinquan Liang;Haris Cheong;Yi Sun;Jin Guo

  • A Robotic System for Overlapping Radiofrequency Ablation in Large Tumor Treatment

    Liangjing Yang;Rong Wen;Jing Qin;Chee-Kong Chui

  • Robot-Assisted Training in Laparoscopy Using Deep Reinforcement Learning

    Xiaoyu Tan;Chin-Boon Chng;Ye Su;Kah-Bin Lim

Frequent Co-Authors

Sim Heng Ong
Sim Heng Ong National University of Singapore
Wei Min Huang
Wei Min Huang Nanyang Technological University
Swee Hin Teoh
Swee Hin Teoh Nanyang Technological University
Jiang Liu
Jiang Liu Southern University of Science and Technology
Wieslaw L. Nowinski
Wieslaw L. Nowinski Nowinski Brain Foundation
Chong Jin Ong
Chong Jin Ong National University of Singapore
Marcelo H. Ang
Marcelo H. Ang National University of Singapore
Geok Soon Hong
Geok Soon Hong National University of Singapore
Pheng-Ann Heng
Pheng-Ann Heng Chinese University of Hong Kong
Jing Qin
Jing Qin Hong Kong Polytechnic University

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