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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
59
Citations
19653
World Ranking
1698
National Ranking
284

C.C. Chan 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 C.C. Chan 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: 287 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

C.C. Chan 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 C.C. Chan 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: 59 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

C.C. Chan is affiliated with the University of Hong Kong in China and primarily works within the field of Engineering. Their research spans multiple subfields including Conservation, Building and Construction, Earth-Surface Processes, Electrical and Electronic Engineering, and Control and Systems Engineering. These areas reflect a multidisciplinary approach to both built environments and advanced electrical systems.

Their recent publications emphasize two distinct but technically rich topics. The first paper, titled "Multi-indicator adaptive HVAC control system for low-energy indoor air quality management of heritage building preservation" (2023), was published in Building and Environment. This work focuses on adaptive control strategies to optimize indoor air quality and energy use, particularly for preserving heritage buildings. The second paper, "Nonlinear Varying-Network Magnetic Circuit Analysis of Consequent-Pole Permanent-Magnet Motor for Electric Vehicles" (2021), appeared in the World Electric Vehicle Journal. This research addresses the design and analysis of electric motors, specifically targeting applications in electric vehicles.

The main topics C.C. Chan covers in these contributions include:

  • Conservation Techniques and Studies
  • Building Energy and Comfort Optimization
  • Building materials and conservation
  • Electric Motor Design and Analysis
  • Magnetic Bearings and Levitation Dynamics
  • Magnetic Properties and Applications

Frequently collaborating with others in their field, Chan has worked with coauthors such as Jiaying Zhang, H.L. Kwok, Jack C.P. Cheng, Hui Wang, and K. T. Chau. These collaborations span various research topics corresponding to the interdisciplinary nature of their work.

The venues where Chan publishes also reflect their dual focus areas, with papers appearing in Building and Environment, which deals with architectural and environmental engineering topics, and the World Electric Vehicle Journal, which covers advancements related to electric vehicles and related electrical engineering technologies.

Best Publications

  • The State of the Art of Electric, Hybrid, and Fuel Cell Vehicles

    C.C. Chan

  • Overview of Permanent-Magnet Brushless Drives for Electric and Hybrid Electric Vehicles

    K.T. Chau;C.C. Chan;Chunhua Liu

  • The state of the art of electric and hybrid vehicles

    C.C. Chan

  • Electric, Hybrid, and Fuel-Cell Vehicles: Architectures and Modeling

    C.C. Chan;A. Bouscayrol;K. Chen

  • Modern Electric Vehicle Technology

    C. C. Chan;K. T. Chau

  • Improved analytical model for predicting the magnetic field distribution in brushless permanent-magnet machines

    Z.Q. Zhu;D. Howe;C.C. Chan

  • An overview of power electronics in electric vehicles

    C.C. Chan;K.T. Chau

  • An overview of electric vehicle technology

    C.C. Chan

  • Analytical Methods for Minimizing Cogging Torque in Permanent-Magnet Machines

    Li Zhu;S.Z. Jiang;Z.Q. Zhu;C.C. Chan

  • Emerging Energy-Efficient Technologies for Hybrid Electric Vehicles

    K.T. Chau;C.C. Chan

  • An overview of energy sources for electric vehicles

    K.T Chau;Y.S Wong;C.C Chan

  • Electric vehicles charge forward

    C.C. Chan;Y.S. Wong

  • Design and analysis of a new doubly salient permanent magnet motor

    M. Cheng;K.T. Chau;C.C. Chan

  • The available capacity computation model based on artificial neural network for lead–acid batteries in electric vehicles

    C.C Chan;E.W.C Lo;Shen Weixiang

  • Novel permanent magnet motor drives for electric vehicles

    C.C. Chan;K.T. Chau;J.Z. Jiang;W. Xia

  • Integrated Energy Management of Plug-in Electric Vehicles in Power Grid With Renewables

    Shuang Gao;K. T. Chau;Chunhua Liu;Diyun Wu

  • Nonlinear varying-network magnetic circuit analysis for doubly salient permanent-magnet motors

    Ming Cheng;K.T. Chau;C.C. Chan;E. Zhou

  • Acoustic noise radiated by PWM-controllel induction machine drives

    W.C. Lo;C.C. Chan;Z.Q. Zhu;Lie Xu

  • Axial-Field Electrical Machines - Design and Applications

    C. C. Chan

  • An effective method for rotor resistance identification for high-performance induction motor vector control

    C.C. Chan;H. Wang

Frequent Co-Authors

K. T. Chau
K. T. Chau Hong Kong Polytechnic University
Chunbo Zhu
Chunbo Zhu Harbin Institute of Technology
Chunhua Liu
Chunhua Liu City University of Hong Kong
Zi-Qiang Zhu
Zi-Qiang Zhu Hong Kong Polytechnic University
Alain Bouscayrol
Alain Bouscayrol University of Lille
Weixiang Shen
Weixiang Shen Swinburne University of Technology
Linni Jian
Linni Jian Southern University of Science and Technology
Dianguo Xu
Dianguo Xu Harbin Institute of Technology
Gaolin Wang
Gaolin Wang Harbin Institute of Technology
Christopher H. T. Lee
Christopher H. T. Lee Nanyang Technological University

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