World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
8019
World Ranking
3730
National Ranking
171

Kon Max Wong 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 Kon Max Wong 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: 222 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Kon Max Wong 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 Kon Max Wong 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: 44 D-Index — 47th percentile

47% 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

  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Kon Max Wong is affiliated with McMaster University in Canada and conducts research primarily in the field of engineering. Their work covers several subfields, including cognitive neuroscience, artificial intelligence, control and systems engineering, electrical and electronic engineering, and transportation.

The scientist's research topics encompass a range of areas: traffic control and management, neural networks and applications, neural dynamics and brain function, transportation planning and optimization, quantum computing algorithms and architecture, advanced memory and neural computing, and air traffic management and optimization.

Kon Max Wong has contributed articles to multiple scientific venues. These include:

  • AEA Randomized Controlled Trials
  • Physica A Statistical Mechanics and its Applications
  • New Mathematics and Natural Computation
  • Physical Review E
  • Nature Communications

Some of the recent papers authored or coauthored by Wong are:

  • "Bifurcation behaviors shape how continuous physical dynamics solves discrete Ising optimization" (2023), published in Nature Communications
  • "Neural feedback facilitates rough-to-fine information retrieval" (2022), published in Neural Networks
  • "The dynamics of traffic congestion: Data from a freeway Electronic Toll Collection system" (2024), published in Physica A Statistical Mechanics and its Applications
  • "Switching Behavior and Control Policy of Congestion: Examples from Taiwan Highway System" (2020), published in New Mathematics and Natural Computation
  • "Utility and interpretation of multiple breath washout in children with cystic fibrosis" (2025), published in Archives of Disease in Childhood Education & Practice

Their frequent coauthors include Maisy Wong, Shing-Yi Wang, Juntao Wang, Daniel Ebler, and David Shui Wing Hui.

Awards associated with Kon Max Wong include recognition by The Canadian Academy of Engineering.

Best Publications

  • Robust adaptive beamforming for general-rank signal models

    S. Shahbazpanahi;A.B. Gershman;Zhi-Quan Luo;Kon Max Wong

  • Quasi-maximum-likelihood multiuser detection using semi-definite relaxation with application to synchronous CDMA

    Wing-Kin Ma;T.N. Davidson;Kon Max Wong;Zhi-Quan Luo

  • Estimation of the directions of arrival of spatially dispersed signals in array processing

    Y. Meng;P. Stoica;K.M. Wong

  • Direction finding in partly calibrated sensor arrays composed of multiple subarrays

    M. Pesavento;A.B. Gershman;K.M. Wong

  • Minimum BER block precoders for zero-forcing equalization

    Yanwu Ding;T.N. Davidson;Zhi-Quan Luo;Kon Max Wong

  • Robust Adaptive Beamforming Using Sequential Quadratic Programming: An Iterative Solution to the Mismatch Problem

    A. Hassanien;S.A. Vorobyov;K.M. Wong

  • A fast method for real-time median filtering

    E. Ataman;V. Aatre;K. Wong

  • Equal-diagonal QR decomposition and its application to precoder design for successive-cancellation detection

    Jian-Kang Zhang;A. Kavcic;Kon Max Wong

  • On information theoretic criteria for determining the number of signals in high resolution array processing

    K.M. Wong;Q.-T. Zhang;J.P. Reilly;P.C. Yip

  • Detection of the number of signals: a predicted eigen-threshold approach

    W. Chen;K.M. Wong;J.P. Reilly

  • The estimation of time delay and Doppler stretch of wideband signals

    Qu Jin;Kon Max Wong;Zhi-Quan Luo

  • Statistical analysis of the performance of information theoretic criteria in the detection of the number of signals in array processing

    Q.-T. Zhang;K.M. Wong;P.C. Yip;J.P. Reilly

  • Soft quasi-maximum-likelihood detection for multiple-antenna wireless channels

    B. Steingrimsson;Zhi-Quan Luo;Kon Max Wong

  • Wavelet packet division multiplexing and wavelet packet design under timing error effects

    Kon Max Wong;Jiangfeng Wu;T.N. Davidson;Qu Jin

  • Adaptive beamforming with sidelobe control: a second-order cone programming approach

    Jing Liu;A.B. Gershman;Zhi-Quan Luo;Kon Max Wong

  • Blind adaptive beamforming for cyclostationary signals

    Qiang Wu;Kon Max Wong

  • The Amplify-and-Forward Half-Duplex Cooperative System: Pairwise Error Probability and Precoder Design

    Yanwu Ding;Jian-Kang Zhang;K.M. Wong

  • Online clustering algorithms for radar emitter classification

    Jun Liu;J.P.Y. Lee;Lingjie Li;Zhi-Quan Luo

  • Transceiver optimization for block-based multiple access through ISI channels

    Zhi-Quan Luo;T.N. Davidson;G.B. Giannakis;Kon Max Wong

  • The entropy of ordered sequences and order statistics

    K.M. Wong;S. Chen

  • Some statistical properties of median filters

    E. Ataman;V. Aatre;K. Wong

  • UN-MUSIC and UN-CLE: an application of generalized correlation analysis to the estimation of the direction of arrival of signals in unknown correlated noise

    Qiang Wu;Kon Max Wong

Frequent Co-Authors

Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen
Timothy N. Davidson
Timothy N. Davidson McMaster University
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Marius Pesavento
Marius Pesavento Technical University of Darmstadt
Wing-Kin Ma
Wing-Kin Ma Chinese University of Hong Kong
Shahram Shahbazpanahi
Shahram Shahbazpanahi University of Ontario Institute of Technology
Sergiy A. Vorobyov
Sergiy A. Vorobyov Aalto University
Petre Stoica
Petre Stoica Uppsala University
Aboulnasr Hassanien
Aboulnasr Hassanien Wright State University
Moeness G. Amin
Moeness G. Amin Villanova University

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