World's Best Scientists 2026 revealed!
Chen-Ching Liu

Chen-Ching Liu

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
72
Citations
19184
World Ranking
810
National Ranking
349

Chen-Ching 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 Chen-Ching 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: 324 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Chen-Ching 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 Chen-Ching 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: 72 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

Chen-Ching Liu is a researcher affiliated with Virginia Tech in the United States. Their primary research focus lies within the Engineering domain, with a specialization in Control and Systems Engineering, Electrical and Electronic Engineering, and Computer Networks and Communications. Additionally, they have contributions in Artificial Intelligence and Civil and Structural Engineering.

Their work extensively covers topics relating to Smart Grid Security and Resilience, Microgrid Control and Optimization, Smart Grid Energy Management, Optimal Power Flow Distribution, Network Security and Intrusion Detection, Power System Optimization and Stability, and Power Systems Fault Detection.

Chen-Ching Liu has published multiple papers on issues central to power systems and smart grid technology. Some recent publications include:

  • Methods for Analysis and Quantification of Power System Resilience, 2022, IEEE Transactions on Power Systems
  • Intrusion Detection for Cybersecurity of Smart Meters, 2020, IEEE Transactions on Smart Grid
  • Machine Learning-based Intrusion Detection for Smart Grid Computing: A Survey, 2023, ACM Transactions on Cyber-Physical Systems
  • Envisioning the Future Renewable and Resilient Energy Grids-A Power Grid Revolution Enabled by Renewables, Energy Storage, and Energy Electronics, 2023, IEEE Journal of Emerging and Selected Topics in Industrial Electronics
  • Resilience-Motivated Distribution System Restoration Considering Electricity-Water-Gas Interdependency, 2021, IEEE Transactions on Smart Grid

Their frequent coauthors include Fang Zheng Peng, Dushan Boroyevich, Narendra Ahuja, Frede Blaabjerg, and Hsiao-Dong Chiang, each of whom has collaborated extensively with them.

The venues in which Chen-Ching Liu most often publishes are:

  • IEEJ Transactions on Electrical and Electronic Engineering
  • IEEE Transactions on Smart Grid
  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Open Access Journal of Power and Energy

Best Publications

  • Vulnerability Assessment of Cybersecurity for SCADA Systems

    Chee-Wooi Ten;Chen-Ching Liu;G. Manimaran

  • An expert system operational aid for restoration and loss reduction of distribution systems

    C.-C. Liu;S.J. Lee;S.S. Venkata

  • Cybersecurity for Critical Infrastructures: Attack and Defense Modeling

    Chee-Wooi Ten;Govindarasu Manimaran;Chen-Ching Liu

  • Cyber security of a power grid: State-of-the-art

    Chih-Che Sun;Adam Hahn;Chen-Ching Liu;Chen-Ching Liu

  • Resilience-Oriented Critical Load Restoration Using Microgrids in Distribution Systems

    Haixiang Gao;Ying Chen;Yin Xu;Chen-Ching Liu

  • Applications of the windowed FFT to electric power quality assessment

    G.T. Heydt;P.S. Fjeld;C.C. Liu;D. Pierce

  • Microgrids for Service Restoration to Critical Load in a Resilient Distribution System

    Yin Xu;Chen-Ching Liu;Kevin P. Schneider;Francis K. Tuffner

  • Distribution System Restoration With Microgrids Using Spanning Tree Search

    Juan Li;Xi-Yuan Ma;Chen-Ching Liu;Kevin P. Schneider

  • Risk assessment in energy trading

    R. Dahlgren;Chen-Ching Liu;J. Lawarree

  • Available transfer capability enhancement using FACTS devices

    Ying Xiao;Y.H. Song;Chen-Ching Liu;Y.Z. Sun

  • Optimal electricity supply bidding by Markov decision process

    H. Song;C.-C. Liu;J. Lawarree;R.W. Dahlgren

  • From generic restoration actions to specific restoration strategies

    L.H. Fink;Kan-Lee Liou;Chen-Ching Liu

  • Optimal Generator Start-Up Strategy for Bulk Power System Restoration

    Wei Sun;Chen-Ching Liu;Li Zhang

  • Anomaly Detection for Cybersecurity of the Substations

    Chee-Wooi Ten;Junho Hong;Chen-Ching Liu

  • Initial review of methods for cascading failure analysis in electric power transmission systems IEEE PES CAMS task force on understanding, prediction, mitigation and restoration of cascading failures

    R. Baldick;B. Chowdhury;I. Dobson;Zhaoyang Dong

  • Computation of milestones for decision support during system restoration

    Yunhe Hou;Chen-Ching Liu;Kai Sun;Pei Zhang

  • The strategic power infrastructure defense (SPID) system. A conceptual design

    Chen-Ching Liu;Juhwan Jung;G.T. Heydt;V. Vittal

  • Financial risk management in a competitive electricity market

    R. Bjorgan;Chen-Ching Liu;J. Lawarree

  • Day-Ahead Electricity Price Forecasting in a Grid Environment

    Guang Li;Chen-Ching Liu;C. Mattson;J. Lawarree

  • From demand response to transactive energy: state of the art

    Sijie Chen;Sijie Chen;Chen Ching Liu

  • An Expert System Assisting Decision-Making of Reactive Power/Voltage Control

    Chen-Ching Liu;Kevin Tomsovic

  • Vulnerability Assessment of Cybersecurity for SCADA Systems Using Attack Trees

    Chee-Wooi Ten;Chen-Ching Liu;M. Govindarasu

Frequent Co-Authors

Kevin P. Schneider
Kevin P. Schneider Pacific Northwest National Laboratory
Yin Xu
Yin Xu Beijing Jiaotong University
Leigh Tesfatsion
Leigh Tesfatsion Iowa State University
Nanpeng Yu
Nanpeng Yu University of California, Riverside
Vijay Vittal
Vijay Vittal Arizona State University
Yunhe Hou
Yunhe Hou University of Hong Kong
Bruce M. Howe
Bruce M. Howe University of Hawaii at Manoa
Ross Baldick
Ross Baldick The University of Texas at Austin
Anurag K. Srivastava
Anurag K. Srivastava West Virginia University
Kevin Tomsovic
Kevin Tomsovic University of Tennessee at Knoxville

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Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering in the USA, exploring complementary online degrees can broaden career opportunities. A bachelor of project management is a valuable option, especially for those interested in leading engineering projects and teams. This degree enhances skills in planning, budgeting, and risk management, essential in technical fields.

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Specializing in areas like instructional design can open doors to careers in training and educational technology. Pursuing one of the instructional design master's programs helps graduates develop curriculum for technical training, blending engineering knowledge with educational expertise.

Additionally, what is a competency based masters degree offers a personalized learning approach, focusing on mastering key skills at your own pace. This format benefits engineers looking to tailor their studies to specific career goals while balancing professional responsibilities.

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