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Tony Q. S. Quek

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 81 485 468 16 15 1023 29869
Computer Science 82 951 920 16 16 1197 30945

Tony Q. S. Quek publications per year

The chart shows the history of publications by Tony Q. S. Quek between 1989 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tony Q. S. Quek published across 38 years, from 1989 to 2026, averaging 37.2 papers a year. Output peaked at 233 publications in 2025. 235 of the 1,412 publications appeared in the last two years.

No. of publications
50 100 150 200
Bar chart. Horizontal axis: year, 1989 to 2026. Vertical axis: number of publications, 0 to 233. Peak 233 publications in 2025. 1989: 1 publication 1990: 1 publication 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 1 publication 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 0 publications 2000: 1 publication 2001: 0 publications 2002: 1 publication 2003: 1 publication 2004: 4 publications 2005: 4 publications 2006: 5 publications 2007: 6 publications 2008: 4 publications 2009: 16 publications 2010: 18 publications 2011: 29 publications 2012: 20 publications 2013: 32 publications 2014: 45 publications 2015: 51 publications 2016: 82 publications 2017: 71 publications 2018: 67 publications 2019: 73 publications 2020: 93 publications 2021: 118 publications 2022: 77 publications 2023: 156 publications 2024: 199 publications 2025: 233 publications 2026: 2 publications
1989 2026

1,412 publications in total across all disciplines

View publications per year as a table
Tony Q. S. Quek: publications per year, 1989 to 2026
Year Publications
1989 1
1990 1
1991 0
1992 0
1993 0
1994 0
1995 1
1996 0
1997 0
1998 1
1999 0
2000 1
2001 0
2002 1
2003 1
2004 4
2005 4
2006 5
2007 6
2008 4
2009 16
2010 18
2011 29
2012 20
2013 32
2014 45
2015 51
2016 82
2017 71
2018 67
2019 73
2020 93
2021 118
2022 77
2023 156
2024 199
2025 233
2026 2
Total 1,412
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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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 1,014–1,033 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9 1,023
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 81 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31 81
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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
Moe Z. Win
Moe Z. Win MIT
Marios Kountouris
Marios Kountouris EURECOM
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

External Links

Personal website of Tony Q. S. Quek Google Scholar page

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Related Online Degrees & Career Pathways

For students interested in Electronics and Electrical Engineering, expanding skill sets through related fields can open diverse career opportunities. One promising option is pursuing a project manager bachelor degree online, which equips individuals with leadership and organizational skills essential for managing complex engineering projects.

Working professionals aiming to advance their education without pausing their careers may benefit from accelerated degree programs for working adults. These programs offer flexible schedules and faster completion times, allowing students to balance work, study, and personal commitments effectively.

Another valuable pathway is a master's in instructional design, which prepares graduates to develop and deliver advanced technical training. This degree can complement engineering expertise by enabling professionals to create educational technologies and training programs in technical industries.

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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