World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
56
Citations
12549
World Ranking
2065
National Ranking
811

Gu-Yeon Wei 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 Gu-Yeon Wei 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: 209 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Gu-Yeon Wei 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 Gu-Yeon Wei 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: 56 D-Index — 71st percentile

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

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

Overview

Gu-Yeon Wei is affiliated with Harvard University in the United States. Their research spans the fields of Computer Science and Engineering, with a focus on several key subfields including Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

Their scientific output covers a range of main topics, particularly in Parallel Computing and Optimization Techniques, Advanced Neural Network Applications, Ferroelectric and Negative Capacitance Devices, Embedded Systems Design Techniques, Advanced Memory and Neural Computing, Stochastic Gradient Optimization Techniques, and Green IT and Sustainability.

Gu-Yeon Wei has published extensively, with a presence in multiple respected publication venues. Frequent venues for their work include:

  • arXiv (Cornell University)
  • IEEE Micro
  • IEEE Journal of Solid-State Circuits
  • ACM Transactions on Embedded Computing Systems
  • ACM Transactions on Architecture and Code Optimization

Among their recent papers are:

  • "MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance" (2020, IEEE Micro)
  • "Chasing Carbon: The Elusive Environmental Footprint of Computing" (2022, IEEE Micro)
  • "SMAUG" (2020, ACM Transactions on Architecture and Code Optimization)
  • "DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference" (2020, arXiv, Cornell University)
  • "The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines" (2020, IEEE Computer Architecture Letters)

Their frequent coauthors include:

  • David Brooks
  • David J. Brooks
  • Carole-Jean Wu
  • Udit Gupta
  • Tianyu Jia

The volume of publications and frequent collaboration with recognized researchers reflects a sustained engagement with evolving challenges in computing, energy efficiency, and machine learning systems. Gu-Yeon Wei's work integrates aspects of hardware design and software optimization to address system-level performance and sustainability issues.

Best Publications

  • System level analysis of fast, per-core DVFS using on-chip switching regulators

    Wonyoung Kim;M.S. Gupta;Gu-Yeon Wei;D. Brooks

  • Minerva: enabling low-power, highly-accurate deep neural network accelerators

    Brandon Reagen;Paul Whatmough;Robert Adolf;Saketh Rama

  • Thread motion: fine-grained power management for multi-core systems

    Krishna K. Rangan;Gu-Yeon Wei;David Brooks

  • A Fully-Integrated 3-Level DC-DC Converter for Nanosecond-Scale DVFS

    Wonyoung Kim;D. Brooks;Gu-Yeon Wei

  • MachSuite: Benchmarks for accelerator design and customized architectures

    Brandon Reagen;Robert Adolf;Yakun Sophia Shao;Gu-Yeon Wei

  • Aladdin: a Pre-RTL, power-performance accelerator simulator enabling large design space exploration of customized architectures

    Yakun Sophia Shao;Brandon Reagen;Gu-Yeon Wei;David Brooks

  • Driving high voltage piezoelectric actuators in microrobotic applications

    Michael Karpelson;Gu-Yeon Wei;Robert J. Wood

  • Chasing Carbon: The Elusive Environmental Footprint of Computing

    Udit Gupta;Young Geun Kim;Sylvia Lee;Jordan Tse

  • A fully digital, energy-efficient, adaptive power-supply regulator

    Gu-Yeon Wei;M. Horowitz

  • A portable, low-power, wireless two-lead EKG system

    T.R.F. Fulford-Jones;Gu-Yeon Wei;M. Welsh

  • Understanding voltage variations in chip multiprocessors using a distributed power-delivery network

    Meeta S. Gupta;Jarod L. Oatley;Russ Joseph;Gu-Yeon Wei

  • An Ultra Low Power System Architecture for Sensor Network Applications

    Mark Hempstead;Nikhil Tripathi;Patrick Mauro;Gu-Yeon Wei

  • 14.3 A 28nm SoC with a 1.2GHz 568nJ/prediction sparse deep-neural-network engine with >0.1 timing error rate tolerance for IoT applications

    Paul N. Whatmough;Sae Kyu Lee;Hyunkwang Lee;Saketh Rama

  • Ares: a framework for quantifying the resilience of deep neural networks

    Brandon Reagen;Udit Gupta;Lillian Pentecost;Paul Whatmough

  • Adaptive bandwidth DLLs and PLLs using regulated supply CMOS buffers

    S. Sidiropoulos;Dean Liu;Jaeha Kim;Guyeon Wei

  • A review of actuation and power electronics options for flapping-wing robotic insects

    M. Karpelson;Gu-Yeon Wei;R.J. Wood

  • A variable-frequency parallel I/O interface with adaptive power supply regulation

    Gu-Yeon Wei;Jaeha Kim;D. Liu;S. Sidiropoulos

  • MLPerf Training Benchmark.

    Peter Mattson;Christine Cheng;Cody Coleman;Greg Diamos

  • A low power switching power supply for self-clocked systems

    Gu-Yeon Wei;M. Horowitz

  • An adaptive PAM-4 5-Gb/s backplane transceiver in 0.25-/spl mu/m CMOS

    J.T. Stonick;Gu-Yeon Wei;J.L. Sonntag;D.K. Weinlader

  • Survey of Hardware Systems for Wireless Sensor Networks

    Mark Hempstead;Michael J. Lyons;David M. Brooks;Gu-Yeon Wei

Frequent Co-Authors

David Brooks
David Brooks Harvard University
Vijay Janapa Reddi
Vijay Janapa Reddi Harvard University
Robert J. Wood
Robert J. Wood Harvard University
Pavan Kumar Hanumolu
Pavan Kumar Hanumolu University of Illinois at Urbana-Champaign
Un-Ku Moon
Un-Ku Moon Oregon State University
Mark Horowitz
Mark Horowitz Stanford University
Kim Hazelwood
Kim Hazelwood Facebook (United States)
Michael J. Lyons
Michael J. Lyons Boston University
Aleksandar Kavcic
Aleksandar Kavcic University of Hawaii at Manoa
Daniel J. Friedman
Daniel J. Friedman IBM (United States)

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