World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
73
Citations
18775
World Ranking
769
National Ranking
336

Yilu 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 Yilu 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: 491 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Yilu 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 Yilu 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: 73 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Yilu Liu is affiliated with the University of Tennessee at Knoxville in the United States. Their research primarily spans the field of engineering, with a focus on electrical and electronic engineering and control and systems engineering. The scientist's scholarly contributions also extend to artificial intelligence, computer networks and communications, and astronomy and astrophysics.

The main topics explored in their work include:

  • Power System Optimization and Stability
  • HVDC Systems and Fault Protection
  • Power Systems Fault Detection
  • Smart Grid Security and Resilience
  • Microgrid Control and Optimization
  • High-Voltage Power Transmission Systems
  • Optimal Power Flow Distribution

Yilu Liu has authored numerous papers published in notable venues with frequent appearances in:

  • IEEE Transactions on Power Systems
  • International Journal of Electrical Power & Energy Systems
  • IEEE Transactions on Smart Grid
  • arXiv (Cornell University)
  • IEEE Access

Some of their recent publications include:

  • Review of hybrid HVDC systems combining line communicated converter and voltage source converter, 2021, International Journal of Electrical Power & Energy Systems
  • Off-policy learning for adaptive optimal output synchronization of heterogeneous multi-agent systems, 2020, Automatica
  • SF 6 decomposition and insulation condition monitoring of GIE: A review, 2021, High Voltage
  • Model-Free Data Authentication for Cyber Security in Power Systems, 2020, IEEE Transactions on Smart Grid
  • Frequency Disturbance Event Detection Based on Synchrophasors and Deep Learning, 2020, IEEE Transactions on Smart Grid

The scientist maintains collaborative ties with several frequent co-authors, including:

  • Wei Qiu
  • He Yin
  • Shutang You
  • Kaiqi Sun
  • Wenxuan Yao

Yilu Liu's research output encompasses diverse aspects of power systems, from HVDC systems and fault protection to smart grid security and microgrid optimization. The integration of advanced control methods and data-driven approaches feature prominently in their work, exemplified by investigations into adaptive synchronization of multi-agent systems and cybersecurity measures for power infrastructure.

Best Publications

  • Energy storage systems for advanced power applications

    P.F. Ribeiro;B.K. Johnson;M.L. Crow;A. Arsoy

  • An Artificial Neural Network Approach to Transformer Fault Diagnosis

    Y. Zhang;X. Ding;Y Liu;P. J. Griffin

  • A method for determining customer and utility harmonic contributions at the point of common coupling

    Wilsun Xu;Yilu Liu

  • Power system frequency monitoring network (FNET) implementation

    Zhian Zhong;Chunchun Xu;B.J. Billian;Li Zhang

  • Wide-Area Frequency Monitoring Network (FNET) Architecture and Applications

    Yingchen Zhang;P Markham;Tao Xia;Lang Chen

  • Robust Energy Management of Microgrid With Uncertain Renewable Generation and Load

    Yue Xiang;Junyong Liu;Yilu Liu

  • A combined ANN and expert system tool for transformer fault diagnosis

    Zhenyuan Wang;Yilu Liu;P.J. Griffin

  • An investigation on the validity of power-direction method for harmonic source determination

    Wilsun Xu;Xian Liu;Yilu Liu

  • Power System Transient Stability Assessment Based on Big Data and the Core Vector Machine

    Bo Wang;Biwu Fang;Yajun Wang;Hesen Liu

  • A US-Wide Power Systems Frequency Monitoring Network

    Yilu Liu

  • Learning Temporal and Spatial Correlations Jointly: A Unified Framework for Wind Speed Prediction

    Qiaomu Zhu;Jinfu Chen;Dongyuan Shi;Lin Zhu

  • Catastrophic Failures in Power Systems: Causes, Analyses, and Countermeasures

    J. De La Ree;Yilu Liu;L. Mili;A.G. Phadke

  • Optical fiber sensor-based detection of partial discharges in power transformers

    Jiangdong Deng;Hai Xiao;Wei Huo;Ming Luo

  • Wide-Area-Measurement System Development at the Distribution Level: An FNET/GridEye Example

    Yong Liu;Lingwei Zhan;Ye Zhang;Penn N. Markham

  • Continuous Under-Frequency Load Shedding Scheme for Power System Adaptive Frequency Control

    Changgang Li;Yue Wu;Yanli Sun;Hengxu Zhang

  • Real-time simulation of power grid disruption

    Steven J. Fernandez;Mallikarjun Shankar;James J. Nutaro;Yilu Liu

  • Frequency Response Assessment and Enhancement of the U.S. Power Grids Toward Extra-High Photovoltaic Generation Penetrations—An Industry Perspective

    Yong Liu;Shutang You;Jin Tan;Yingchen Zhang

  • Wind Speed Prediction with Spatio–Temporal Correlation: A Deep Learning Approach

    Qiaomu Zhu;Jinfu Chen;Lin Zhu;Xianzhong Duan

  • Comparative analysis of exciting current harmonics and reactive power consumption from GIC saturated transformers

    Xuzhu Dong;Yilu Liu;J.G. Kappenman

  • Detailed modeling of superconducting magnetic energy storage (SMES) system

    L. Chen;Y. Liu;A.B. Arsoy;P.F. Ribeiro

  • A Distribution Level Wide Area Monitoring System for the Electric Power Grid–FNET/GridEye

    Yong Liu;Shutang You;Wenxuan Yao;Yi Cui

  • Internet based frequency monitoring network (FNET)

    Bin Qiu;Ling Chen;V. Centeno;Xuzhu Dong

Frequent Co-Authors

Yingchen Zhang
Yingchen Zhang National Renewable Energy Laboratory
Leon M. Tolbert
Leon M. Tolbert University of Tennessee at Knoxville
Hairong Qi
Hairong Qi University of Tennessee at Knoxville
Kevin Tomsovic
Kevin Tomsovic University of Tennessee at Knoxville
Mariesa L. Crow
Mariesa L. Crow Missouri University of Science and Technology
Wei Gao
Wei Gao University of Pittsburgh
Fred Wang
Fred Wang University of Tennessee at Knoxville
Arun G. Phadke
Arun G. Phadke Virginia Tech
Ping Ju
Ping Ju Hohai University
Yaosuo Xue
Yaosuo Xue Oak Ridge National Laboratory

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