World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
49
Citations
10411
World Ranking
2921
National Ranking
478

Alan Pak Tao Lau 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 Alan Pak Tao Lau 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: 371 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Alan Pak Tao Lau 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 Alan Pak Tao Lau 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: 49 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Alan Pak Tao Lau is affiliated with the Hong Kong Polytechnic University in China and has a substantial publication record primarily in the field of Engineering. Their research spans several subfields, notably Electrical and Electronic Engineering, Atomic and Molecular Physics and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, and Computer Networks and Communications.

The scientist's recent papers include a range of topics related to optical communications and photonic technologies. Notable publications are:

  • "Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning," 2020, Nature Communications
  • "High performance thin-film lithium niobate modulator on a silicon substrate using periodic capacitively loaded traveling-wave electrode," 2022, APL Photonics
  • "Physics-Informed Neural Network for Nonlinear Dynamics in Fiber Optics," 2022, Laser & Photonics Review
  • "A review of machine learning-based failure management in optical networks," 2022, Science China Information Sciences
  • "Forward Transmission Based Ultra-Long Distributed Vibration Sensing With Wide Frequency Response," 2020, Journal of Lightwave Technology

The frequent co-authors collaborating with Alan Pak Tao Lau include:

  • Chao Lü
  • Xiong Wu
  • Junwei Zhang
  • Gai Zhou
  • Changjian Guo

Alan Pak Tao Lau's work has been published extensively across various peer-reviewed journals. The most frequent publication venues are:

  • Journal of Lightwave Technology
  • Optics Letters
  • Optics Express
  • Journal of Optical Communications and Networking
  • IEEE Photonics Journal

The main fields of study Alan focuses on are diverse yet centered on optical and photonic systems. Among the main research topics are:

  • Optical Network Technologies
  • Advanced Photonic Communication Systems
  • Photonic and Optical Devices
  • Advanced Fiber Laser Technologies
  • Advanced Fiber Optic Sensors
  • Advanced Optical Network Technologies
  • Semiconductor Lasers and Optical Devices

Best Publications

  • Coherent detection in optical fiber systems

    Ezra Ip;Alan Pak Tao Lau;Daniel J. F. Barros;Joseph M. Kahn

  • Digital Signal Processing for Short-Reach Optical Communications: A Review of Current Technologies and Future Trends

    Kangping Zhong;Xian Zhou;Jiahao Huo;Changyuan Yu

  • Experimental study of PAM-4, CAP-16, and DMT for 100 Gb/s Short Reach Optical Transmission Systems

    Kangping Zhong;Xian Zhou;Tao Gui;Li Tao

  • Mode-division multiplexed transmission with inline few-mode fiber amplifier.

    Neng Bai;Ezra Ip;Yue-Kai Huang;Eduardo Mateo

  • Optical Performance Monitoring: A Review of Current and Future Technologies

    Zhenhua Dong;Faisal Nadeem Khan;Qi Sui;Kangping Zhong

  • An Optical Communication's Perspective on Machine Learning and Its Applications

    Faisal Nadeem Khan;Qirui Fan;Chao Lu;Alan Pak Tao Lau

  • Joint OSNR monitoring and modulation format identification in digital coherent receivers using deep neural networks

    Faisal Nadeem Khan;Kangping Zhong;Xian Zhou;Waled Hussein Al-Arashi

  • Modulation format identification in heterogeneous fiber-optic networks using artificial neural networks.

    Faisal Nadeem Khan;Yudi Zhou;Alan Pak Tao Lau;Chao Lu

  • Nonlinear Frequency Division Multiplexed Transmissions Based on NFT

    Zhenhua Dong;Siddarth Hari;Tao Gui;Kangping Zhong

  • Modulation Format Identification in Coherent Receivers Using Deep Machine Learning

    Faisal Nadeem Khan;Kangping Zhong;Waled Hussein Al-Arashi;Changyuan Yu

  • Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning.

    Qirui Fan;Gai Zhou;Tao Gui;Chao Lu

  • 88×3×112-Gb/s WDM transmission over 50 km of three-mode fiber with inline few-mode fiber amplifier

    Ezra Ip;Neng Bai;Yue-Kai Huang;Eduardo Mateo

  • Signal Design and Detection in Presence of Nonlinear Phase Noise

    A.P.T. Lau;J.M. Kahn

  • Alternative Decoding Methods for Optical Communications Based on Nonlinear Fourier Transform

    Tao Gui;Terence H. Chan;Chao Lu;Alan Pak Tao Lau

  • Simultaneous optical performance monitoring and modulation format/bit-rate identification using principal component analysis

    Ming Chieng Tan;Faisal Nadeem Khan;Waled Hussein Al-Arashi;Yudi Zhou

  • Physics-informed Neural Network for Nonlinear Dynamics in Fiber Optics

    Xiaotian Jiang;Danshi Wang;Qirui Fan;Min Zhang

  • Experimental demonstration of 10 Gb/s multi-level carrier-less amplitude and phase modulation for short range optical communication systems

    Li Tao;Yiguang Wang;Yuliang Gao;Alan Pak Tao Lau

  • 140-Gb/s 20-km Transmission of PAM-4 Signal at 1.3 $\mu ext{m}$ for Short Reach Communications

    Kangping Zhong;Xian Zhou;Yuliang Gao;Wei Chen

  • OSNR monitoring for QPSK and 16-QAM systems in presence of fiber nonlinearities for digital coherent receivers

    Zhenhua Dong;Alan Pak Tao Lau;Chao Lu

  • Memory-controlled deep LSTM neural network post-equalizer used in high-speed PAM VLC system.

    Xingyu Lu;Chao Lu;Weixiang Yu;Liang Qiao

  • Low-complexity and phase noise tolerant carrier phase estimation for dual-polarization 16-QAM systems

    Yuliang Gao;Alan Pak Tao Lau;Shuangyi Yan;Chao Lu

  • Advanced modulation formats for short reach optical communication systems

    Li Tao;Yu Ji;Jie Liu;Alan Pak Tao Lau

Frequent Co-Authors

Chao Lu
Chao Lu Hong Kong Polytechnic University
Changyuan Yu
Changyuan Yu Hong Kong Polytechnic University
Ping-kong Alexander Wai
Ping-kong Alexander Wai Hong Kong Polytechnic University
Tao Gui
Tao Gui Fudan University
Keping Long
Keping Long University of Science and Technology Beijing
Hwa-Yaw Tam
Hwa-Yaw Tam Hong Kong Polytechnic University
Joseph M. Kahn
Joseph M. Kahn Stanford University
Yong Yao
Yong Yao Harbin Institute of Technology
William Shieh
William Shieh Westlake University
Keang-Po Ho
Keang-Po Ho Apple (United States)

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