World's Best Scientists 2026 revealed!
Philip H. W. Leong

Philip H. W. Leong

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
8061
World Ranking
3560
National Ranking
116

Computer Science

D-Index
47
Citations
8579
World Ranking
6517
National Ranking
206

Philip H. W. Leong 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 Philip H. W. Leong 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: 241 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Philip H. W. Leong 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 Philip H. W. Leong 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

Philip H. W. Leong is affiliated with the University of Sydney in Australia, contributing extensively to the fields of computer science and engineering. Their research spans several key subfields, including electrical and electronic engineering, artificial intelligence, computer vision and pattern recognition, signal processing, and computer networks and communications.

The scientist's work encompasses a range of topics characterized by a focus on signal processing, neural networks, VLSI design, and wireless communications. Notable areas covered include:

  • Blind Source Separation Techniques
  • Wireless Signal Modulation Classification
  • VLSI and Analog Circuit Testing
  • Cooperative Communication and Network Coding
  • Advanced Neural Network Applications
  • Image and Video Quality Assessment
  • Low-power high-performance VLSI design

Recent publications of Philip H. W. Leong include:

  • "NITI: Training Integer Neural Networks Using Integer-Only Arithmetic", 2022, IEEE Transactions on Parallel and Distributed Systems
  • "Interpolating high granularity solar generation and load consumption data using super resolution generative adversarial network", 2021, Applied Energy
  • "On-Device Saliency Prediction Based on Pseudoknowledge Distillation", 2022, IEEE Transactions on Industrial Informatics
  • "Nonlinear retinal response modeling for future neuromorphic instrumentation", 2020, IEEE Instrumentation & Measurement Magazine
  • "Wireless Signal Representation Techniques for Automatic Modulation Classification", 2022, IEEE Access

Philip H. W. Leong frequently collaborates with a variety of co-authors, including David Boland, Carol Jingyi Li, Binglei Lou, S A Rasoulinezhad, and Craig Jin. These collaborations highlight their engagement within a network of researchers in overlapping domains of study.

Their work has been published in several venues, with notable frequent appearances in:

  • ACM Transactions on Reconfigurable Technology and Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • Applied Energy
  • IEEE Transactions on Industrial Informatics

Philip H. W. Leong's research integrates multidisciplinary approaches that facilitate advances in computing architectures, neural network methodologies, and signal processing systems. This intersection supports developments in both theoretical frameworks and practical applications relevant to modern technology challenges.

Best Publications

  • FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

    Yaman Umuroglu;Nicholas J. Fraser;Giulio Gambardella;Michaela Blott

  • A laser-micromachined multi-modal resonating power transducer for wireless sensing systems

    Neil N.H. Ching;H.Y. Wong;Wen J. Li;Philip H.W. Leong

  • Gaussian random number generators

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

  • The nature and distribution of errors in sound localization by human listeners

    Simon Carlile;Philip Leong;Stephanie Hyams

  • 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

  • Method and system for automatically classifying intracardiac electrograms

    Philip H. W. Leong;Marwan A. Jabri

  • Compact FPGA-based true and pseudo random number generators

    K.H. Tsoi;K.H. Leung;P.H.W. Leong

  • Active temporal multiplexing of indistinguishable heralded single photons

    Chunle Xiong;X. Zhang;Z. Liu;Z. Liu;Matthew J. Collins

  • A Smith-Waterman systolic cell

    C. W. Yu;K. H. Kwong;K. H. Lee;P. H. W. Leong

  • A Hybrid CMOS-Memristor Neuromorphic Synapse

    Mostafa Rahimi Azghadi;Bernabe Linares-Barranco;Derek Abbott;Philip H. W. Leong

  • Dynamic voltage scaling for commercial FPGAs

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

  • A hardware Gaussian noise generator using the Wallace method

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

  • SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks

    Julian Faraone;Nicholas Fraser;Michaela Blott;Philip H.W. Leong

  • FPGA implementation of a microcoded elliptic curve cryptographic processor

    K.H. Leung;K.W. Ma;W.K. Wong;P.H.W. Leong

  • Reconfigurable acceleration for Monte Carlo based financial simulation

    G.L. Zhang;P.H.W. Leong;C.H. Ho;K.H. Tsoi

  • A microcoded elliptic curve processor using FPGA technology

    P.H.W. Leong;I.K.H. Leung

  • Methods for spherical data analysis and visualization.

    Philip Leong;Simon Carlile

  • Ultralow-Power Alcohol Vapor Sensors Using Chemically Functionalized Multiwalled Carbon Nanotubes

    M.L.Y. Sin;G.C.T. Chow;G.M.K. Wong;Wen Jung Li

  • Compact and reconfigurable silicon nitride time-bin entanglement circuit

    C. Xiong;X. Zhang;A. Mahendra;J. He

  • Writing system with camera

    Guanglie Zhang;Guangyi Shi;Yilun Luo;Heidi Yee Yan Wong

Frequent Co-Authors

Wayne Luk
Wayne Luk Imperial College London
Wen J. Li
Wen J. Li City University of Hong Kong
Steven J. E. Wilton
Steven J. E. Wilton University of British Columbia
Benjamin J. Eggleton
Benjamin J. Eggleton University of Sydney
Peter Y. K. Cheung
Peter Y. K. Cheung Imperial College London
Eryk Dutkiewicz
Eryk Dutkiewicz University of Technology Sydney
Qiang Xu
Qiang Xu Chinese University of Hong Kong
Dagan Feng
Dagan Feng University of Sydney
Zongwen Liu
Zongwen Liu University of Sydney
Richard A. Davis
Richard A. Davis Columbia University

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