World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
8213
World Ranking
3550
National Ranking
162

Computer Science

D-Index
54
Citations
10492
World Ranking
4614
National Ranking
183

Cyril Leung 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 Cyril Leung 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: 250 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Cyril Leung 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 Cyril Leung 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: 45 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Overview

Cyril Leung is affiliated with the University of British Columbia in Canada and has a significant body of research in computer science and engineering. Their contributions span various domains, notably in artificial intelligence, electrical and electronic engineering, and information systems.

The scientist's publications highlight a focus on privacy-preserving technologies, blockchain applications, mobile crowdsensing, UAV optimization, IoT, and edge computing. Their work addresses technical challenges in data protection, distributed learning, and communication-efficient frameworks.

Frequent research topics include:

  • Privacy-Preserving Technologies in Data
  • Blockchain Technology Applications and Security
  • Mobile Crowdsensing and Crowdsourcing
  • UAV Applications and Optimization
  • IoT and Edge/Fog Computing
  • Stochastic Gradient Optimization Techniques
  • Privacy, Security, and Data Protection

Leung's prominent papers demonstrate research on federated learning, resource allocation, and dynamic frameworks supporting emerging technologies. Notable papers include:

  • Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning, 2021, IEEE Transactions on Parallel and Distributed Systems
  • Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks, 2020, IEEE Internet of Things Journal
  • Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles, 2020, IEEE Transactions on Intelligent Transportation Systems
  • A Dynamic Resource Allocation Framework for Synchronizing Metaverse with IoT Service and Data, 2022, ICC 2022 - IEEE International Conference on Communications

The scientist has collaborated frequently with peers, including Chunyan Miao, Dusit Niyato, Zehui Xiong, Wei Yang Bryan Lim, and Jer Shyuan Ng. These collaborations have supported interdisciplinary efforts within intelligent transportation systems, IoT, and federated learning.

Leung's publications have appeared predominantly in venues such as arXiv (Cornell University), IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems, and the IEEE International Conference on Communications (ICC 2022).

Areas of study for Leung include:

  • Computer Science
  • Engineering

Subfields detailed in their research are:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications

Best Publications

  • An overview of scheduling algorithms in wireless multimedia networks

    H. Fattah;C. Leung

  • A Survey of Trust and Reputation Management Systems in Wireless Communications

    Han Yu;Zhiqi Shen;Chunyan Miao;Cyril Leung

  • An achievable rate region for the multiple-access channel with feedback

    T. Cover;C. Leung

  • Proportional Fair Multiuser Scheduling in LTE

    R. Kwan;C. Leung;J. Zhang

  • Capture models for mobile packet radio networks

    C.T. Lau;C. Leung

  • Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach

    Wei Yang Bryan Lim;Jianqiang Huang;Zehui Xiong;Jiawen Kang

  • OFDM/FM frame synchronization for mobile radio data communication

    W.D. Warner;C. Leung

  • A Survey of Multi-Agent Trust Management Systems

    Han Yu;Zhiqi Shen;Cyril Leung;Chunyan Miao

  • Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning

    Wei Yang Bryan Lim;Jer Shyuan Ng;Zehui Xiong;Jiangming Jin

  • Method and apparatus for frame synchronization in mobile OFDM data communication

    Cyril Sik Leung;William Dean Warner

  • Resource allocation in an OFDM-based cognitive radio system

    Yonghong Zhang;C. Leung

  • A survey of scheduling and interference mitigation in LTE

    Raymond Kwan;Cyril Leung

  • Building ethics into artificial intelligence

    Han Yu;Zhiqi Shen;Chunyan Miao;Cyril Leung;Cyril Leung

  • OFDM for data communication over mobile radio FM channels. I. Analysis and experimental results

    E.F. Casas;C. Leung

  • Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks

    Wei Yang Bryan Lim;Zehui Xiong;Chunyan Miao;Dusit Niyato

  • Wireless Energy Harvesting in a Cognitive Relay Network

    Yuanwei Liu;S. Ali Mousavifar;Yansha Deng;Cyril Leung

  • Mitigating Herding in Hierarchical Crowdsourcing Networks.

    Han Yu;Chunyan Miao;Cyril Leung;Cyril Leung;Yiqiang Chen;Yiqiang Chen

  • Towards a trust aware cognitive radio architecture

    Tao Qin;Han Yu;Cyril Leung;Zhiqi Shen

  • Multiuser scheduling on the downlink of an LTE cellular system

    Raymond Kwan;Cyril Leung;Jie Zhang

  • Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles

    Jer Shyuan Ng;Wei Yang Bryan Lim;Hong-Ning Dai;Zehui Xiong

  • Performance analysis of transmit diversity scheme with imperfect channel estimation

    D. Gu;C. Leung

Frequent Co-Authors

Chunyan Miao
Chunyan Miao Nanyang Technological University
Zhiqi Shen
Zhiqi Shen Nanyang Technological University
Han Yu
Han Yu Nanyang Technological University
Maged Elkashlan
Maged Elkashlan Queen Mary University of London
Dusit Niyato
Dusit Niyato Nanyang Technological University
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Peter Han Joo Chong
Peter Han Joo Chong Auckland University of Technology
Robert Schober
Robert Schober University of Erlangen-Nuremberg
Zehui Xiong
Zehui Xiong Queen's University Belfast
Vincent W. S. Wong
Vincent W. S. Wong 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 exploring Electronics and Electrical Engineering, expanding your skill set with complementary degrees can open new career opportunities. Many professionals find that project management expertise greatly enhances their ability to lead complex engineering projects. Enrolling in one of the best accelerated project management degree programs online allows for a quicker transition into managerial roles without interrupting your engineering focus.

If you prefer a more traditional pace, pursuing a project management bachelor degree online offers flexibility and a solid foundation in leadership skills, tailored for engineers aiming to lead multidisciplinary teams.

For working professionals dedicated to continuous education, bachelor degree programs for working adults provide tailored schedules and formats that fit busy lifestyles, helping balance work and study effectively.

Additionally, those interested in developing technical training and educational technologies within engineering fields might consider an online masters in instructional design. This degree prepares students to create engaging learning experiences, an asset in corporate training or academia.

Best Scientists Citing Cyril Leung

Trending Scientists

Recently Published Articles