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Pak Kin Wong

Pak Kin Wong

University of Macau
China

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
7380
World Ranking
5543
National Ranking
1067

Pak Kin Wong 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 Pak Kin Wong 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: 276 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Pak Kin Wong 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 Pak Kin Wong 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: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Pak Kin Wong is affiliated with the University of Macau in China. Their research predominantly spans the field of Engineering, with significant contributions in subfields such as Automotive Engineering, Control and Systems Engineering, Civil and Structural Engineering, Mechanical Engineering, and Artificial Intelligence.

The scientist's work covers a range of specialized topics within these domains. Key areas of focus include:

  • Vehicle Dynamics and Control Systems
  • Vibration Control and Rheological Fluids
  • Electric and Hybrid Vehicle Technologies
  • Hydraulic and Pneumatic Systems
  • Traffic Control and Management
  • Autonomous Vehicle Technology and Safety
  • Advanced Combustion Engine Technologies

Pak Kin Wong has published articles in several frequent venues, indicating a consistent engagement with the industrial electronics and transportation sectors. Major publication outlets include:

  • IEEE Transactions on Industrial Electronics
  • Mechanical Systems and Signal Processing
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Transportation Electrification
  • IET Conference Proceedings

Some recent papers that represent their research contributions are:

  • Adaptive-Event-Trigger-Based Fuzzy Nonlinear Lateral Dynamic Control for Autonomous Electric Vehicles Under Insecure Communication Networks, 2020, IEEE Transactions on Industrial Electronics
  • Automatic Distinction Between COVID-19 and Common Pneumonia Using Multi-scale Convolutional Neural Network on Chest CT Scans, 2020, Chaos Solitons & Fractals
  • A Novel Wind Speed Interval Prediction Based on Error Prediction Method, 2020, IEEE Transactions on Industrial Informatics
  • Velocity-based Robust Fault Tolerant Automatic Steering Control of Autonomous Ground Vehicles via Adaptive Event Triggered Network Communication, 2020, Mechanical Systems and Signal Processing
  • Impact of Lower and Higher Alcohols on the Physicochemical Properties of Particulate Matter from Diesel Engines: A Review, 2021, Renewable and Sustainable Energy Reviews

Collaborations appear to play a significant role in their research career. Frequent co-authors include:

  • Zhengchao Xie
  • Jing Zhao
  • Wenfeng Li
  • Meisam Ahmadi Ghadikolaei

Best Publications

  • Characterization and corrosion behavior of hydroxyapatite coatings on Ti6Al4V fabricated by electrophoretic deposition

    C. T. Kwok;P. K. Wong;F. T. Cheng;Hau Chung Man

  • Sparse Bayesian Extreme Learning Machine for Multi-classification

    Jiahua Luo;Chi-Man Vong;Pak-Kin Wong

  • Chassis Integrated Control for Active Suspension, Active Front Steering and Direct Yaw Moment Systems Using Hierarchical Strategy

    Jing Zhao;Pak Kin Wong;Xinbo Ma;Zhengchao Xie

  • Kernel-Based Multilayer Extreme Learning Machines for Representation Learning

    Chi Man Wong;Chi Man Vong;Pak Kin Wong;Jiuwen Cao

  • Engineering Applications of Intelligent Monitoring and Control 2014

    Qingsong Xu;Pak-Kin Wong;Minping Jia;Chengjin Zhang

  • Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine

    Pak-Kin Wong;Qingsong Xu;Chi-Man Vong;Hang-Cheong Wong

  • Real-time fault diagnosis for gas turbine generator systems using extreme learning machine

    Pak Kin Wong;Zhixin Yang;Chi Man Vong;Jianhua Zhong

  • Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference

    Chi-Man Vong;Pak-Kin Wong;Yi-Ping Li

  • Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search

    Pak Kin Wong;Ka In Wong;Chi Man Vong;Chun Shun Cheung

  • Adaptive-Event-Trigger-Based Fuzzy Nonlinear Lateral Dynamic Control for Autonomous Electric Vehicles Under Insecure Communication Networks

    Wenfeng Li;Zhengchao Xie;Pak Kin Wong;Xingtai Mei

  • Modeling and optimization of biodiesel engine performance using advanced machine learning methods

    Ka In Wong;Pak Kin Wong;Chun Shun Cheung;Chi Man Vong

  • Cornering stability control for vehicles with active front steering system using T-S fuzzy based sliding mode control strategy

    Xinbo Ma;Xinbo Ma;Pak Kin Wong;Jing Zhao;Jing Zhao;Zhengchao Xie

  • Practical multi-objective control for automotive semi-active suspension system with nonlinear hydraulic adjustable damper

    Xinbo Ma;Pak Kin Wong;Jing Zhao

  • Hysteresis modeling and compensation of a piezostage using least squares support vector machines

    Qing Song (徐青松) Xu;Pak Kin (王百鍵) Wong

  • Drug screening of cancer cell lines and human primary tumors using droplet microfluidics

    Ada Hang-Heng Wong;Haoran Li;Yanwei Jia;Pui-In Mak

  • Case-based Reasoning and Adaptation in Hydraulic Production Machine Design

    C.M. Vong;T.P. Leung;P.K. Wong

  • Automatic distinction between COVID-19 and common pneumonia using multi-scale convolutional neural network on chest CT scans

    Tao Yan;Tao Yan;Pak Kin Wong;Hao Ren;Huaqiao Wang

  • Engine ignition signal diagnosis with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines

    C. M. Vong;P. K. Wong

  • Fault diagnosis of rotating machinery based on multiple probabilistic classifiers

    Jian-Hua Zhong;Pak Kin Wong;Zhi-Xin Yang

  • Real-time weighted multi-objective model predictive controller for adaptive cruise control systems

    R. C. Zhao;P. K. Wong;Z. C. Xie;J. Zhao

  • Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis

    Pak Kin Wong;Jianhua Zhong;Zhixin Yang;Chi Man Vong

  • A Novel Wind Speed Interval Prediction Based on Error Prediction Method

    Geng Tang;Yifan Wu;Chaoshun Li;Pak Kin Wong

  • Fuzzy finite-frequency output feedback control for nonlinear active suspension systems with time delay and output constraints

    Wenfeng Li;Zhengchao Xie;Jing Zhao;Jing Zhao;Pak Kin Wong

  • Engine idle-speed system modelling and control optimization using artificial intelligence

    P K Wong;L M Tam;K Li;C M Vong

  • Velocity-based robust fault tolerant automatic steering control of autonomous ground vehicles via adaptive event triggered network communication

    Wenfeng Li;Zhengchao Xie;Jing Zhao;Jing Zhao;Pak Kin Wong

Frequent Co-Authors

Chi-Man Vong
Chi-Man Vong University of Macau
C.S. Cheung
C.S. Cheung Hong Kong Polytechnic University
Qingsong Xu
Qingsong Xu University of Macau
Rui P. Martins
Rui P. Martins University of Macau
Carlos Silvestre
Carlos Silvestre University of Macau
Haitao Wang
Haitao Wang Nankai University
Chu-Xia Deng
Chu-Xia Deng University of Macau
Zhi Ning
Zhi Ning Hong Kong University of Science and Technology
Pui-In Mak
Pui-In Mak University of Macau
Hui Pan
Hui Pan University of Macau

External Links

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Best Scientists Citing Pak Kin Wong

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Publications: 19

Qingsong Xu

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Publications: 17

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Publications: 11

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Guang-Bin Huang

Guang-Bin Huang

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Publications: 9

Haiping Du

Haiping Du

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Publications: 9

Guo-Ying Gu

Guo-Ying Gu

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Publications: 9

Alireza Bahadori

Alireza Bahadori

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Hwai Chyuan Ong

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Publications: 7

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Publications: 7

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