World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
51
Citations
8389
World Ranking
2716
National Ranking
148

Computer Science

D-Index
52
Citations
8499
World Ranking
5166
National Ranking
309

Peter Y. K. Cheung 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 Peter Y. K. Cheung 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: 347 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Peter Y. K. Cheung 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 Peter Y. K. Cheung 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Peter Y. K. Cheung is a researcher affiliated with Imperial College London in the United Kingdom. Their work spans the fields of computer science and medicine, with a focus on areas intersecting artificial intelligence, cardiology, and hardware engineering.

The main fields of study for Peter Y. K. Cheung include:

  • Computer Science
  • Medicine

Within these broad areas, their subfields of research cover:

  • Artificial Intelligence
  • Cardiology and Cardiovascular Medicine
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

The research topics addressed in their publications are diverse and include:

  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Atrial Fibrillation Management and Outcomes
  • VLSI and Analog Circuit Testing
  • Acute Ischemic Stroke Management
  • Blood Pressure and Hypertension Studies
  • COVID-19 diagnosis using AI

Peter Y. K. Cheung has contributed to multiple peer-reviewed journals and conferences. Their frequent publication venues include:

  • JAMA Neurology (2 publications)
  • UNC Libraries (2 publications)
  • Zenodo (CERN European Organization for Nuclear Research) (2 publications)
  • JAMA
  • PLoS Computational Biology

Some recent and notable papers authored or co-authored by Peter Y. K. Cheung are:

  • "Effect of Long-term Continuous Cardiac Monitoring vs Usual Care on Detection of Atrial Fibrillation in Patients With Stroke Attributed to Large- or Small-Vessel Disease" (2021, JAMA)
  • "Post-lockdown abatement of COVID-19 by fast periodic switching" (2021, PLoS Computational Biology)
  • "LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference" (2020, IEEE Transactions on Computers)
  • "Atrial Fibrillation In Patients With Stroke Attributed to Large- or Small-Vessel Disease" (2023, JAMA Neurology)
  • "Predictors of Atrial Fibrillation in Patients With Stroke Attributed to Large- or Small-Vessel Disease" (2022, JAMA Neurology)

Throughout their research career, Peter Y. K. Cheung has collaborated with several frequent co-authors, including:

  • Erwei Wang
  • James J. Davis
  • George A. Constantinides
  • Pramod Sethi
  • Javier E. Banchs

Best Publications

  • Reconfigurable computing: architectures and design methods

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

  • 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

  • Within-die delay variability in 90nm FPGAs and beyond

    Pete Sedcole;Peter K. Cheung

  • Compilation tools for run-time reconfigurable designs

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

  • Asynchronous wrapper for heterogeneous systems

    D.S. Bormann;P.Y.K. Cheung

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

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

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

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

  • 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 Gaussian noise generator for hardware-based simulations

    D.-U. Lee;W. Luk;J.D. Villasenor;P.Y.K. Cheung

  • Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going

    Erwei Wang;James J. Davis;Ruizhe Zhao;Ho-Cheung Ng

  • Fault tolerant methods for reliability in FPGAs

    E. Stott;P. Sedcole;P. Cheung

  • Video image processing with the Sonic architecture

    S.D. Haynes;J. Stone;P.Y.K. Cheung;W. Luk

  • Degradation in FPGAs: measurement and modelling

    Edward A. Stott;Justin S.J. Wong;Pete Sedcole;Peter Y.K. Cheung

  • Customizable elliptic curve cryptosystems

    R.C.C. Cheung;N.J. Telle;W. Luk;P.Y.K. Cheung

  • Have GPUs made FPGAs redundant in the field of video processing

    B. Cope;P.Y.K. Cheung;W. Luk;S. Witt

  • Novel FPGA-based implementation of median and weighted median filters for image processing

    S.A. Fahmy;P.Y.K. Cheung;W. Luk

  • Adaptive Routing in Network-on-Chips Using a Dynamic-Programming Network

    T. Mak;P. Y. K. Cheung;Kai-Pui Lam;W. Luk

Frequent Co-Authors

Wayne Luk
Wayne Luk Imperial College London
George A. Constantinides
George A. Constantinides Imperial College London
Philip H. W. Leong
Philip H. W. Leong University of Sydney
Suhaib A. Fahmy
Suhaib A. Fahmy King Abdullah University of Science and Technology
Jan Maciejowski
Jan Maciejowski University of Cambridge
Alex Yakovlev
Alex Yakovlev Newcastle University
Steven J. E. Wilton
Steven J. E. Wilton University of British Columbia
Yiannis Andreopoulos
Yiannis Andreopoulos University College London
Yu-Kwong Kwok
Yu-Kwong Kwok Hong Kong Metropolitan University
Cheng-Zhong Xu
Cheng-Zhong Xu University of Macau

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Related Online Degrees & Career Pathways

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