World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
81
Citations
29869
World Ranking
485
National Ranking
16

Computer Science

D-Index
82
Citations
30945
World Ranking
951
National Ranking
16

Tony Q. S. Quek 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 Tony Q. S. Quek 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: 1,023 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Tony Q. S. Quek 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 Tony Q. S. Quek 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: 81 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to heterogeneous and wireless networks

Overview

Tony Q. S. Quek is affiliated with the Singapore University of Technology and Design in Singapore. Their research primarily spans the fields of engineering and computer science, with a focus on electrical and electronic engineering, computer networks and communications, aerospace engineering, artificial intelligence, and computer vision and pattern recognition.

The scientist's research topics involve advanced wireless communication technologies, optimization of advanced MIMO systems, age of information optimization, privacy-preserving technologies in data, IoT and edge/fog computing, UAV applications and optimization, as well as cooperative communication and network coding.

Some recent publications include:

  • Federated Learning With Differential Privacy: Algorithms and Performance Analysis, 2020, IEEE Transactions on Information Forensics and Security
  • On Safeguarding Privacy and Security in the Framework of Federated Learning, 2020, IEEE Network
  • Multi-Armed Bandit-Based Client Scheduling for Federated Learning, 2020, IEEE Transactions on Wireless Communications
  • Hybrid Satellite-UAV-Terrestrial Networks for 6G Ubiquitous Coverage: A Maritime Communications Perspective, 2021, IEEE Journal on Selected Areas in Communications
  • Federated Learning With Non-IID Data in Wireless Networks, 2021, IEEE Transactions on Wireless Communications

Frequent co-authors include Howard H. Yang, Zhengchuan Chen, Yaru Fu, Kun Guo, and Xijun Wang.

The scientist has been published often in venues such as arXiv (Cornell University), IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, and the IEEE Internet of Things Journal.

In 2018, Tony Q. S. Quek was awarded the IEEE Fellow distinction for contributions to heterogeneous and wireless networks.

Best Publications

  • Federated Learning With Differential Privacy: Algorithms and Performance Analysis

    Kang Wei;Jun Li;Ming Ding;Chuan Ma

  • Enhanced intercell interference coordination challenges in heterogeneous networks

    D Lopez-Perez;I Guvenc;M Kountouris

  • Enhanced Inter-Cell Interference Coordination Challenges in Heterogeneous Networks

    David Lopez-Perez;Ismail Guvenc;Marios Kountouris

  • Offloading in Mobile Edge Computing: Task Allocation and Computational Frequency Scaling

    Thinh Quang Dinh;Jianhua Tang;Quang Duy La;Tony Q. S. Quek

  • Energy Efficient Heterogeneous Cellular Networks

    Yong Sheng Soh;T. Q. S. Quek;M. Kountouris;Hyundong Shin

  • Sensor OpenFlow: Enabling Software-Defined Wireless Sensor Networks

    Tie Luo;Hwee-Pink Tan;T. Q. S. Quek

  • Scheduling Policies for Federated Learning in Wireless Networks

    Howard H. Yang;Zuozhu Liu;Tony Q. S. Quek;H. Vincent Poor

  • Throughput Optimization, Spectrum Allocation, and Access Control in Two-Tier Femtocell Networks

    Wang Chi Cheung;T. Q. S. Quek;M. Kountouris

  • Resource Allocation for Cognitive Small Cell Networks: A Cooperative Bargaining Game Theoretic Approach

    Haijun Zhang;Chunxiao Jiang;Norman C. Beaulieu;Xiaoli Chu

  • Cognitive Network Interference

    A Rabbachin;T Q S Quek;Hyundong Shin;M Z Win

  • Cooperative Caching and Transmission Design in Cluster-Centric Small Cell Networks

    Zheng Chen;Jemin Lee;Tony Q. S. Quek;Marios Kountouris

  • Radio Resource Management for Ultra-Reliable and Low-Latency Communications

    Changyang She;Chenyang Yang;Tony Q. S. Quek

  • Small Cell Networks: Deployment, PHY Techniques, and Resource Management

    Tony Q. S. Quek;Ismail Gven;Marios Kountouris

  • On Safeguarding Privacy and Security in the Framework of Federated Learning

    Chuan Ma;Jun Li;Ming Ding;Howard H. Yang

  • Analysis of UWB transmitted-reference communication systems in dense multipath channels

    T.Q.S. Quek;M.Z. Win

  • Cross-Layer Optimization for Ultra-Reliable and Low-Latency Radio Access Networks

    Changyang She;Chenyang Yang;Tony Q. S. Quek

  • Heterogeneous cellular networks with spatio-temporal traffic: Delay analysis and scheduling

    Yi Zhong;Tony Q. S. Quek;Xiaohu Ge

  • Coordinated Multipoint Transmission with Limited Backhaul Data Transfer

    Jian Zhao;T. Q. S. Quek;Zhongding Lei

  • Optimizing Resource Allocation in the Short Blocklength Regime for Ultra-Reliable and Low-Latency Communications

    Chengjian Sun;Changyang She;Chenyang Yang;Tony Q. S. Quek

  • Multi-Armed Bandit Based Client Scheduling for Federated Learning

    Wenchao Xia;Tony Q. S. Quek;Kun Guo;Wanli Wen

  • Lightweight and Practical Anonymous Authentication Protocol for RFID Systems Using Physically Unclonable Functions

    Prosanta Gope;Jemin Lee;Tony Q. S. Quek

  • Wireless Channel Models for Maritime Communications

    Jue Wang;Haifeng Zhou;Ye Li;Qiang Sun

  • Heterogeneous Cellular Networks with Spatio-Temporal Traffic: Delay Analysis and Scheduling

    Yi Zhong;Tony Q. S. Quek;Xiaohu Ge

  • Federated Learning with Differential Privacy: Algorithms and Performance Analysis

    Kang Wei;Jun Li;Ming Ding;Chuan Ma

Frequent Co-Authors

Jemin Lee
Jemin Lee Yonsei University
Hyundong Shin
Hyundong Shin Kyung Hee University
Mugen Peng
Mugen Peng Beijing University of Posts and Telecommunications
Hangguan Shan
Hangguan Shan Zhejiang University
H. Vincent Poor
H. Vincent Poor Princeton University
Shi Jin
Shi Jin Southeast University
Min Sheng
Min Sheng Xidian University
Wei Yu
Wei Yu University of Toronto

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Lastly, competency based degree programs offer personalized learning experiences focused on mastering skills rather than time spent in class. This innovative approach suits many engineering students who prefer practical skill development aligned with industry demands.

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