World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
61
Citations
10982
World Ranking
1577
National Ranking
31

Kok Kiong Tan publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Kok Kiong Tan sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 458 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Kok Kiong Tan D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Kok Kiong Tan sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 61 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Kok Kiong Tan is affiliated with the National University of Singapore in Singapore. Their research spans a range of fields primarily focused on engineering and medicine, with notable contributions in control and systems engineering, biomedical engineering, and mechanical engineering. Their work also touches on computer vision and pattern recognition as well as surgery.

The scientist has contributed to several main topics, including:

  • Soft Robotics and Applications
  • Teleoperation and Haptic Systems
  • Robot Manipulation and Learning
  • Iterative Learning Control Systems
  • Robotic Path Planning Algorithms
  • Piezoelectric Actuators and Control
  • Spine and Intervertebral Disc Pathology

Kok Kiong Tan has published numerous research papers in various scientific venues. Recent publications include:

  • Integral terminal sliding-mode-based adaptive integral backstepping control for precision motion of a piezoelectric ultrasonic motor, 2020, Mechanical Systems and Signal Processing
  • Three Dimensional Collision Avoidance for Multi Unmanned Aerial Vehicles Using Velocity Obstacle, 2020, Journal of Intelligent & Robotic Systems
  • Path planning of collision avoidance for unmanned ground vehicles: A nonlinear model predictive control approach, 2020, Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
  • Machine learning approach to needle insertion site identification for spinal anesthesia in obese patients, 2021, BMC Anesthesiology
  • Signal-Transformation-Based Repetitive Control of Spiral Trajectory for Piezoelectric Nanopositioning Stages, 2020, IEEE/ASME Transactions on Mechatronics

The frequent co-authors collaborating with Kok Kiong Tan include:

  • Wenyu Liang
  • Tong Heng Lee
  • Clarence W. de Silva
  • Zhao Feng
  • Jie Ling

Among the preferred publication venues respected by this scientist are:

  • IEEE/ASME Transactions on Mechatronics
  • Journal of Intelligent & Robotic Systems
  • Mechanical Systems and Signal Processing
  • Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
  • BMC Anesthesiology

In addition to articles, Kok Kiong Tan has contributed to book publications, including a title published by Springer Nature:

  • Force and Position Control of Mechatronic Systems, 2020

Best Publications

  • Robust adaptive numerical compensation for friction and force ripple in permanent-magnet linear motors

    K.K. Tan;S.N. Huang;T.H. Lee

  • Collision avoidance of multi unmanned aerial vehicles: A review

    Sunan Huang;Rodney Swee Huat Teo;Kok Kiong Tan

  • Development of a Genetic-Algorithm-Based Nonlinear Model Predictive Control Scheme on Velocity and Steering of Autonomous Vehicles

    Xinxin Du;Kyaw Ko Ko Htet;Kok Kiong Tan

  • Precision motion control with disturbance observer for pulsewidth-modulated-driven permanent-magnet linear motors

    Kok Kiong Tan;Tong Heng Lee;Hui Fang Dou;Shok Jun Chin

  • Decentralized control design for large-scale systems with strong interconnections using neural networks

    Sunan Huang;Kok Kiong Tan;Tong Heng Lee

  • New interpolation method for quadrature encoder signals

    K.K. Tan;H.X. Zhou;Tong Heng Lee

  • Multistability of discrete-time recurrent neural networks with unsaturating piecewise linear activation functions

    Zhang Yi;Kok Kiong Tan

  • Fault Diagnosis and Fault-Tolerant Control in Linear Drives Using the Kalman Filter

    Sunan Huang;Kok Kiong Tan;Tong Heng Lee

  • High precision linear motor control via relay-tuning and iterative learning based on zero-phase filtering

    Kok Kiong Tan;Huifang Dou;Yangquan Chen;Tong Heng Lee

  • Micro-positioning of linear-piezoelectric motors based on a learning nonlinear PID controller

    K.K. Tan;Tong Heng Lee;H.X. Zhou

  • Vision-Servo System for Automated Cell Injection

    Yi Zhang;Kok Kiong Tan;Sunan Huang

  • Adaptive feedforward compensation of force ripples in linear motors

    S. Zhao;K.K. Tan

  • Finite-Spectrum Assignment for Time-Delay Systems

    Qing-Guo Wang;Tong Heng Lee;Kok Kiong Tan

  • Tool wear detection and fault diagnosis based on cutting force monitoring

    S.N. Huang;K.K. Tan;Y.S. Wong;C.W. de Silva

  • Adaptive Friction Compensation With a Dynamical Friction Model

    Tong Heng Lee;Kok Kiong Tan;Sunan Huang

  • Adaptive-predictive control of a class of SISO nonlinear systems

    K. K. Tan;T. H. Lee;S. N. Huang;F. M. Leu

  • Non-Imaging, Focusing Heliostat

    Y.T. Chen;K.K. Chong;T.P. Bligh;L.C. Chen

  • Robust self-tuning PID controller for nonlinear systems

    K.K. Tan;S. Huang;R. Ferdous

  • Adaptive friction compensation using neural network approximations

    S.N. Huang;K.K. Tan;T.H. Lee

  • Modeling and Compensation of Ripples and Friction in Permanent-Magnet Linear Motor Using a Hysteretic Relay

    Si-Lu Chen;Kok Kiong Tan;Sunan Huang;Chek Sing Teo

Frequent Co-Authors

Sunan Huang
Sunan Huang National University of Singapore
Tong Heng Lee
Tong Heng Lee National University of Singapore
Zhang Yi
Zhang Yi Sichuan University
Qing-Guo Wang
Qing-Guo Wang University of Johannesburg
Qingsong Xu
Qingsong Xu University of Macau
Sanjib Kumar Panda
Sanjib Kumar Panda National University of Singapore
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Zidong Wang
Zidong Wang Brunel University London
Guilin Yang
Guilin Yang Chinese Academy of Sciences
Clarence W. de Silva
Clarence W. de Silva University of British Columbia

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:

Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering, expanding skills beyond technical expertise is increasingly valuable. Many professionals enhance their careers by earning a project management bachelor degree online, which equips them to lead complex engineering projects and collaborate across disciplines effectively.

Time constraints are common among working adults, making accelerated online degrees an attractive option. These programs allow learners to complete degrees faster without compromising quality, helping engineers stay competitive in a rapidly evolving field.

For those interested in educational roles or training within the engineering sector, an online masters in instructional design offers the skills to create effective learning materials and programs. This qualification supports career transitions into training and development.

Competency and skills mastery are key to engineering success. Many online options emphasize competency based programs, focusing on proven abilities rather than time spent in class. This practical approach aligns well with the hands-on nature of Electronics and Electrical Engineering.

Best Scientists Citing Kok Kiong Tan

Trending Scientists

Recently Published Articles