World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
34
Citations
4557
World Ranking
5837
National Ranking
170

Elaine 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 Elaine 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: 305 publications — 58th percentile

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

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

Elaine 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 Elaine 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: 34 D-Index — 18th percentile

18% 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

  • 2020 - OSA Fellows Elaine Wong Univ. of Melbourne, Australia For significant and sustained pioneering contributions to the research of next-generation optical access networks and technologies, in particular for groundbreaking achievements in wavelength-seeding technologies of reflective optical semiconductor amplifiers

Overview

Elaine Wong is affiliated with the University of Melbourne in Australia and has produced a substantial body of research primarily in the fields of Engineering and Computer Science. Their work spans 53 publications in Engineering and 35 in Computer Science, concentrating notably on subfields such as Electrical and Electronic Engineering, Computer Networks and Communications, and Artificial Intelligence.

Their research topics cover a variety of advanced and evolving areas. Key topics include:

  • Advanced Photonic Communication Systems
  • Optical Network Technologies
  • Advanced Optical Network Technologies
  • IoT and Edge/Fog Computing
  • Optical Wireless Communication Technologies
  • Neural Networks and Reservoir Computing
  • Gaze Tracking and Assistive Technology

Elaine Wong has an extensive publication record in prominent journals, frequently publishing in:

  • Journal of Optical Communications and Networking (8 publications)
  • IEEE Photonics Technology Letters (7 publications)
  • IEEE Journal of Quantum Electronics (7 publications)
  • IEEE Open Journal of the Communications Society (4 publications)
  • Journal of Lightwave Technology (3 publications)

Their recent papers illustrate involvement in cutting-edge research on optical systems and communications:

  • "Evolution of Short-Range Optical Wireless Communications" (2022, Journal of Lightwave Technology)
  • "Roadmap on optical communications" (2024, Journal of Optics)
  • "4G to 6G: disruptions and drivers for optical access [Invited]" (2021, Journal of Optical Communications and Networking)
  • "Enhancing latency performance through intelligent bandwidth allocation decisions: a survey and comparative study of machine learning techniques" (2020, Journal of Optical Communications and Networking)
  • "Enabling Remote Human-to-Machine Applications With AI-Enhanced Servers Over Access Networks" (2020, IEEE Open Journal of the Communications Society)

The scientist collaborates frequently with several researchers, including:

  • Roland Ryf
  • Dan M. Marom
  • Karen Hawkins
  • Jamie Moesch
  • Steven Heffner

Elaine Wong has been recognized with awards such as the OSA Fellows honor in 2020, awarded for contributions to next-generation optical access networks and technologies, highlighting work on wavelength-seeding technologies of reflective optical semiconductor amplifiers.

Best Publications

  • Next-Generation Broadband Access Networks and Technologies

    E. Wong

  • Directly Modulated Self-Seeding Reflective Semiconductor Optical Amplifiers as Colorless Transmitters in Wavelength Division Multiplexed Passive Optical Networks

    E. Wong;Ka Lun Lee;T.B. Anderson

  • 5G C-RAN With Optical Fronthaul: An Analysis From a Deployment Perspective

    Chathurika Ranaweera;Elaine Wong;Ampalavanapillai Nirmalathas;Chamil Jayasundara

  • Evolution of Radio-Over-Fiber Technology

    Christina Lim;Yu Tian;Chathurika Ranaweera;Thas Ampalavanapillai Nirmalathas

  • Predictive Resource Allocation for Tactile Internet Capable Passive Optical LANs

    Elaine Wong;Maluge Pubudini Imali Dias;Lihua Ruan

  • Next generation optical-wireless converged network architectures

    C. Ranaweera;E. Wong;C. Lim;A. Nirmalathas

  • Optical CSMA/CD media access scheme for Ethernet over passive optical network

    Chang-Joon Chae;E. Wong;R.S. Tucker

  • Evolution of Short-Range Optical Wireless Communications

    Unknown

  • Development and organization of polarity-specific segregation of primary vestibular afferent fibers in mice

    Adel Maklad;Suzan Kamel;Elaine Wong;Bernd Fritzsch

  • 4G to 6G: disruptions and drivers for optical access [Invited]

    Unknown

  • Roadmap on Optical Communications

    Erik Agrell;Magnus Karlsson;Andy Chraplyvy;David Richardson

  • Low-cost WDM passive optical network with directly-modulated self-seeding reflective SOA

    E. Wong;K.-L. Lee;T. Anderson

  • 1.55- $\mu$ m VCSEL Arrays for High-Bandwidth WDM-PONs

    W. Hofmann;E. Wong;G. Bohm;M. Ortsiefer

  • Machine Learning-Based Bandwidth Prediction for Low-Latency H2M Applications

    Lihua Ruan;Maluge Pubuduni Imali Dias;Elaine Wong

  • Energy-efficiency of optical network units with vertical-cavity surface-emitting lasers.

    Elaine Wong;Michael Mueller;Maluge P. I. Dias;Chien Aun Chan

  • 5G C-RAN architecture: A comparison of multiple optical fronthaul networks

    Chathurika Ranaweera;Elaine Wong;Ampalavanapillai Nirmalathas;Chamil Jayasundara

  • CSMA/CD-based ethernet passive optical network with optical internetworking capability among users

    E. Wong;Chang-Joon Chae

  • CCOMPASSION: A Hybrid Cloudlet Placement Framework Over Passive Optical Access Networks

    Sourav Mondal;Goutam Das;Elaine Wong

  • High-speed indoor optical wireless communication system employing a silicon integrated photonic circuit

    Ke Wang;Ampalavanapillai Nirmalathas;Christina Lim;Elaine Wong

  • Enhancing latency performance through intelligent bandwidth allocation decisions: a survey and comparative study of machine learning techniques

    Lihua Ruan;Maluge P. I. Dias;Elaine Wong

  • Enhancing the survivability and power savings of 5G transport networks based on DWDM rings

    Elaine Wong;Elena Grigoreva;Lena Wosinska;Carmen Mas Machuca

  • Dynamic changes in cis-regulatory occupancy by Six1 and its cooperative interactions with distinct cofactors drive lineage-specific gene expression programs during progressive differentiation of the auditory sensory epithelium

    Jun Li;Ting Zhang;Aarthi Ramakrishnan;Bernd Fritzsch

  • Methodologies for assessing the use-phase power consumption and greenhouse gas emissions of telecommunications network services.

    Chien A. Chan;André F. Gygax;Elaine Wong;Christopher A. Leckie

  • Cost-Optimal Placement and Backhauling of Small-Cell Networks

    Chathurika Ranaweera;Christina Lim;Ampalavanapillai Nirmalathas;Chamil Jayasundara

Frequent Co-Authors

Ampalavanapillai Nirmalathas
Ampalavanapillai Nirmalathas University of Melbourne
Christina Lim
Christina Lim University of Melbourne
Ke Wang
Ke Wang Simon Fraser University
Kamal Alameh
Kamal Alameh Edith Cowan University
Lena Wosinska
Lena Wosinska Chalmers University of Technology
Christopher Leckie
Christopher Leckie University of Melbourne
Paolo Monti
Paolo Monti Chalmers University of Technology
Efstratios Skafidas
Efstratios Skafidas University of Melbourne
Rodney S. Tucker
Rodney S. Tucker University of Melbourne
Anthony T.C. Chan
Anthony T.C. Chan Chinese University of Hong Kong

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Related Online Degrees & Career Pathways

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Additionally, competency based degree programs emphasize practical skills and real-world mastery over traditional credit hours, making them ideal for engineers focused on demonstrating hands-on expertise.

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