World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
67
Citations
16982
World Ranking
1087
National Ranking
192

Ai Qun Liu 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 Ai Qun Liu 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: 602 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Ai Qun Liu 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 Ai Qun Liu 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: 67 D-Index — 85th percentile

85% 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

  • 2014 - SPIE Fellow

Overview

Ai Qun Liu is affiliated with Nanyang Technological University in Singapore and specializes in engineering, with a primary focus on electrical and electronic engineering. Their research portfolio includes significant contributions to fields such as artificial intelligence, biomedical engineering, atomic and molecular physics and optics, and electronic, optical, and magnetic materials.

Their work encompasses a range of topics, including:

  • Photonic and Optical Devices
  • Neural Networks and Reservoir Computing
  • Quantum Information and Cryptography
  • Optical Network Technologies
  • Microfluidic and Bio-sensing Technologies
  • Orbital Angular Momentum in Optics
  • Metamaterials and Metasurfaces Applications

Notable recent publications by Ai Qun Liu include:

  • "An optical neural chip for implementing complex-valued neural network" (2021, Nature Communications)
  • "Space-efficient optical computing with an integrated chip diffractive neural network" (2022, Nature Communications)
  • "Metasurface Micro/Nano-Optical Sensors: Principles and Applications" (2022, ACS Nano)
  • "Advances in lithium niobate photonics: development status and perspectives" (2022, Advanced Photonics)
  • "Recent progress in quantum photonic chips for quantum communication and internet" (2023, Light Science & Applications)

They have also authored a book titled "Metasurfaces: Towards Tunable and Reconfigurable Meta-devices" published in 2022 under Microfluidics and Nanophotonics.

Ai Qun Liu frequently publishes in venues including:

  • Conference on Lasers and Electro-Optics
  • SSRN Electronic Journal
  • Laser & Photonics Review
  • arXiv (Cornell University)
  • European Urology

Their frequent coauthors are:

  • Yuzhi Shi
  • L. C. Kwek
  • Hong Cai
  • Hui Zhang
  • L. K. Chin

In recognition of their professional contributions, Ai Qun Liu was named a SPIE Fellow in 2014.

Best Publications

  • Mechanism of multisoliton formation and soliton energy quantization in passively mode-locked fiber lasers

    D. Y. Tang;L. M. Zhao;B. Zhao;A. Q. Liu

  • High-Efficiency Broadband Meta-Hologram with Polarization-Controlled Dual Images

    Wei Ting Chen;Kuang-Yu Yang;Chih-Ming Wang;Yao-Wei Huang

  • An optical neural chip for implementing complex-valued neural network.

    H. Zhang;M. Gu;X. D. Jiang;J. Thompson

  • The Poisson distribution and beyond: methods for microfluidic droplet production and single cell encapsulation

    David J. Collins;Adrian Neild;Andrew deMello;Ai-Qun Liu

  • Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation

    Henghui Ding;Xudong Jiang;Bing Shuai;Ai Qun Liu

  • An integrated silicon photonic chip platform for continuous-variable quantum key distribution

    Gong Zhang;Gong Zhang;J. Y. Haw;H. Cai;F. Xu

  • Switchable magnetic metamaterials using micromachining processes.

    Wei Ming Zhu;Ai Qun Liu;Xu Ming Zhang;Din Ping Tsai

  • Mechanical design and optimization of capacitive micromachined switch

    J.-M. Huang;K.M. Liew;C.H. Wong;S. Rajendran

  • Optical Anapole Metamaterial

    Pin Chieh Wu;Chun Yen Liao;Vassili Savinov;Tsung Lin Chung

  • Microelectromechanical Maltese-cross metamaterial with tunable terahertz anisotropy.

    W.M. Zhu;A.Q. Liu;A.Q. Liu;T. Bourouina;Din-ping Tsai;Din-ping Tsai

  • A STUDY OF THE STATIC CHARACTERISTICS OF A TORSIONAL MICROMIRROR

    Xuming Zhang;F. S. Chau;C. Quan;Y. L. Lam

  • Band gap opening of graphene by doping small boron nitride domains

    Xiaofeng Fan;Xiaofeng Fan;Zexiang Shen;A. Q. Liu;Jer-Lai Kuo

  • A high-brightness laser beam from a phase-locked multicore Yb-doped fiber laser array

    P.K. Cheo;A. Liu;G.G. King

  • Micromachined tunable metamaterials: a review

    A. Q. Liu;W. M. Zhu;D. P. Tsai;Nikolay I. Zheludev

  • Determining refractive index of single living cell using an integrated microchip

    X.J. Liang;A.Q. Liu;C.S. Lim;T.C. Ayi

  • Boundary-Aware Feature Propagation for Scene Segmentation

    Henghui Ding;Xudong Jiang;Ai Qun Liu;Nadia Magnenat Thalmann

  • A micromachined reconfigurable metamaterial via reconfiguration of asymmetric split-ring resonators

    Yuan Hsing Fu;Yuan Hsing Fu;Ai Qun Liu;Wei Ming Zhu;Xu Ming Zhang

  • Broadband Wide‐Angle Multifunctional Polarization Converter via Liquid‐Metal‐Based Metasurface

    Pin Chieh Wu;Weiming Zhu;Zhong Xiang Shen;Peter Han Joo Chong

  • Metalenses: Advances and Applications

    Ming Lun Tseng;Ming Lun Tseng;Hui Hsin Hsiao;Hui Hsin Hsiao;Cheng Hung Chu;Cheng Hung Chu;Mu Ku Chen;Mu Ku Chen

  • Open-loop versus closed-loop control of MEMS devices: choices and issues

    B Borovic;A Q Liu;D Popa;H Cai

  • Optofluidic waveguide as a transformation optics device for lightwave bending and manipulation

    Y. Yang;A. Q. Liu;L. K. Chin;Xuming Zhang

  • A review of MEMS external-cavity tunable lasers

    A Q Liu;X M Zhang

Frequent Co-Authors

Xuming Zhang
Xuming Zhang Hong Kong Polytechnic University
Din Ping Tsai
Din Ping Tsai City University of Hong Kong
Dim-Lee Kwong
Dim-Lee Kwong National University of Singapore
Chao Lu
Chao Lu Hong Kong Polytechnic University
Wee Ser
Wee Ser Nanyang Technological University
Claus-Dieter Ohl
Claus-Dieter Ohl Otto-von-Guericke University Magdeburg
Nikolay I. Zheludev
Nikolay I. Zheludev University of Southampton
Arokiaswami Alphones
Arokiaswami Alphones Nanyang Technological University
Greg Sun
Greg Sun University of Massachusetts Boston
Zhongxiang Shen
Zhongxiang Shen Nanyang Technological University

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Related Online Degrees & Career Pathways

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It’s also important to consider personality fit when choosing career paths. Careers catering to jobs for introverts overlap significantly with many engineering roles, offering environments conducive to focused, independent work—a perfect match for many in the field.

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