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Wayne Luk

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 68 1034 986 48 46 685 15658
Computer Science 70 1895 1835 110 109 748 17043

Wayne Luk publications per year

The chart shows the history of publications by Wayne Luk between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Wayne Luk published across 39 years, from 1987 to 2025, averaging 21.3 papers a year. Output peaked at 44 publications in 2008. 55 of the 830 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 44. Peak 44 publications in 2008. 1987: 1 publication 1988: 2 publications 1989: 1 publication 1990: 4 publications 1991: 2 publications 1992: 2 publications 1993: 5 publications 1994: 8 publications 1995: 8 publications 1996: 10 publications 1997: 8 publications 1998: 4 publications 1999: 11 publications 2000: 16 publications 2001: 17 publications 2002: 23 publications 2003: 25 publications 2004: 25 publications 2005: 40 publications 2006: 27 publications 2007: 31 publications 2008: 44 publications 2009: 37 publications 2010: 28 publications 2011: 34 publications 2012: 43 publications 2013: 35 publications 2014: 38 publications 2015: 31 publications 2016: 20 publications 2017: 29 publications 2018: 29 publications 2019: 24 publications 2020: 29 publications 2021: 31 publications 2022: 33 publications 2023: 20 publications 2024: 35 publications 2025: 20 publications
1987 2025

830 publications in total across all disciplines

View publications per year as a table
Wayne Luk: publications per year, 1987 to 2025
Year Publications
1987 1
1988 2
1989 1
1990 4
1991 2
1992 2
1993 5
1994 8
1995 8
1996 10
1997 8
1998 4
1999 11
2000 16
2001 17
2002 23
2003 25
2004 25
2005 40
2006 27
2007 31
2008 44
2009 37
2010 28
2011 34
2012 43
2013 35
2014 38
2015 31
2016 20
2017 29
2018 29
2019 24
2020 29
2021 31
2022 33
2023 20
2024 35
2025 20
Total 830
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Wayne Luk 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 Wayne Luk 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, 674–693 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: 685 publications — 94th percentile

94% 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 44 685
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
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Wayne Luk 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 Wayne Luk 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, 68 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: 68 D-Index — 86th percentile

86% 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 68
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
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

  • 2012 - Fellow of the Royal Academy of Engineering (UK)

Overview

Wayne Luk is affiliated with Imperial College London in the United Kingdom. Their research is predominantly situated within the field of Computer Science, with a strong focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Hardware and Architecture, and Computer Networks and Communications.

The scientist's work covers a range of topics including:

  • Advanced Neural Network Applications
  • Parallel Computing and Optimization Techniques
  • Adversarial Robustness in Machine Learning
  • CCD and CMOS Imaging Sensors
  • Advanced Memory and Neural Computing
  • Embedded Systems Design Techniques
  • Fault Detection and Control Systems

Wayne Luk has published extensively, contributing to scientific literature in notable venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • IEEE Transactions on Neural Networks and Learning Systems
  • Journal of Signal Processing Systems
  • IEEE Transactions on Parallel and Distributed Systems

Some recent papers authored by Wayne Luk include:

  • FPGA-Based Acceleration for Bayesian Convolutional Neural Networks, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • LhARA: The Laser-hybrid Accelerator for Radiobiological Applications, 2020, Frontiers in Physics
  • Mapping Large LSTMs to FPGAs with Weight Reuse, 2020, Journal of Signal Processing Systems
  • Towards efficient deep neural network training by FPGA-based batch-level parallelism, 2020, Journal of Semiconductors

The scientist has worked with several frequent collaborators, including Hongxiang Fan, Zhiqiang Que, Ce Guo, Martin Ferianc, and Xinyu Niu. These collaborations appear across multiple studies and publications.

Wayne Luk was recognized as a Fellow of the Royal Academy of Engineering (UK) in 2012. This acknowledges a distinguished level of professional contribution within their field.

Best Publications

  • Reconfigurable computing: architectures and design methods

    T.J. Todman;G.A. Constantinides;S.J.E. Wilton;O. Mencer

  • Gaussian random number generators

    David B. Thomas;Wayne Luk;Philip H.W. Leong;John D. Villasenor

  • Accuracy-Guaranteed Bit-Width Optimization

    D.-U. Lee;A.A. Gaffar;R.C.C. Cheung;O. Mencer

  • Pipeline vectorization

    M. Weinhardt;W. Luk

  • A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation

    David Barrie Thomas;Lee Howes;Wayne Luk

  • A hardware Gaussian noise generator using the Box-Muller method and its error analysis

    D.-U. Lee;J.D. Villasenor;W. Luk;P.H.W. Leong

  • Axel: a heterogeneous cluster with FPGAs and GPUs

    Kuen Hung Tsoi;Wayne Luk

  • FP-BNN

    Shuang Liang;Shouyi Yin;Leibo Liu;Wayne Luk

  • Comparing Three Heuristic Search Methods for Functional Partitioning in Hardware–Software Codesign

    Theerayod Wiangtong;Peter Y. Cheung;Wayne Luk

  • Flexible instruction processor systems and methods

    Wayne Luk;Peter Y. K. Cheung;Shay Ping Seng

  • Wordlength optimization for linear digital signal processing

    G.A. Constantinides;P.Y.K. Cheung;W. Luk

  • Compilation tools for run-time reconfigurable designs

    W. Luk;N. Shirazi;P.Y.K. Cheung

  • Pipeline vectorization for reconfigurable systems

    M. Weinhardt;W. Luk

  • Unifying bit-width optimisation for fixed-point and floating-point designs

    A.A. Gaffar;O. Mencer;W. Luk

  • Dynamic voltage scaling for commercial FPGAs

    C.T. Chow;L.S.M. Tsui;P.H.W. Leong;W. Luk

  • Performance Comparison of Graphics Processors to Reconfigurable Logic: A Case Study

    B. Cope;P.Y.K. Cheung;W. Luk;L. Howes

  • The Impact of Pipelining on Energy per Operation in Field-Programmable Gate Arrays

    Steven J. E. Wilton;Su-Shin Ang;Wayne Luk

  • Floating-point bitwidth analysis via automatic differentiation

    A.A. Gaffar;O. Mencer;W. Luk;P.Y.K. Cheung

  • Enhancing Relocatability of Partial Bitstreams for Run-Time Reconfiguration

    T. Becker;W. Luk;P.Y.K. Cheung

  • A hardware Gaussian noise generator using the Wallace method

    Dong-U Lee;W. Luk;J.D. Villasenor;Guanglie Zhang

Frequent Co-Authors

Peter Y. K. Cheung
Peter Y. K. Cheung Imperial College London
George A. Constantinides
George A. Constantinides Imperial College London
Philip H. W. Leong
Philip H. W. Leong University of Sydney
Steven J. E. Wilton
Steven J. E. Wilton University of British Columbia
Guangwen Yang
Guangwen Yang Tsinghua University
Koen Bertels
Koen Bertels Delft University of Technology
Donatella Sciuto
Donatella Sciuto Polytechnic University of Milan
Jan Maciejowski
Jan Maciejowski University of Cambridge
Naranker Dulay
Naranker Dulay Imperial College London
Emil Lupu
Emil Lupu Imperial College London

External Links

Personal website of Wayne Luk Google Scholar page

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Related Online Degrees & Career Pathways

Exploring online degrees related to Electronics and Electrical Engineering can open diverse career opportunities. For those interested in a blend of technology and education, a master's in instructional design offers a path to develop educational technologies and training programs, enhancing the integration of engineering concepts in learning environments.

Flexibility is often key for professionals balancing work and study. Programs featuring competency based masters degree formats allow learners to progress at their own pace by demonstrating skills rather than following a fixed schedule, making them ideal for self-motivated students.

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For those eager to begin their education without delay, choosing from online colleges starting soon ensures quicker enrollment and more entry points throughout the year, accommodating various schedules and commitments.

Best Scientists Citing Wayne Luk

George A. Constantinides

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Publications: 62

Viktor K. Prasanna

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Peter Y. K. Cheung

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Publications: 35

Koen Bertels

Koen Bertels

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Publications: 25

Dirk Koch

Dirk Koch

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Publications: 25

Jason Cong

Jason Cong

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Publications: 24

Steven J. E. Wilton

Steven J. E. Wilton

University of British Columbia

Publications: 22

Dimitrios Soudris

Dimitrios Soudris

National Technical University of Athens

Publications: 22

Hideharu Amano

Hideharu Amano

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Publications: 21

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Tsutomu Sasao

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Publications: 21

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Jürgen Teich

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Publications: 20

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Norbert Wehn

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Publications: 20

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Shaojun Wei

Tsinghua University

Publications: 19

Philip H. W. Leong

Philip H. W. Leong

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Publications: 17

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