World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
77
Citations
21624
World Ranking
616
National Ranking
276

Fangxing Li 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 Fangxing Li 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: 466 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Fangxing Li 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 Fangxing Li 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: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

Fangxing Li is affiliated with the University of Tennessee at Knoxville in the United States. Their research primarily focuses on engineering, with an emphasis on electrical and electronic engineering, control and systems engineering, safety, risk, reliability and quality, building and construction, and energy engineering and power technology.

Their work engages with multiple topics related to power systems and energy optimization. Key topics include:

  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization
  • Power System Optimization and Stability
  • Electric Power System Optimization
  • Integrated Energy Systems Optimization
  • Smart Grid Security and Resilience

Fangxing Li has published extensively in various academic venues. Their most frequent publication outlets are:

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

Recent papers include:

  • "Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning" (2020) in Applied Energy
  • "Network reconfiguration and distributed energy resource scheduling for improved distribution system resilience" (2020) in International Journal of Electrical Power & Energy Systems
  • "Model-Free Emergency Frequency Control Based on Reinforcement Learning" (2020) in IEEE Transactions on Industrial Informatics
  • "Coordinated Bidding Strategy of Wind Farms and Power-to-Gas Facilities Using a Cooperative Game Approach" (2020) in IEEE Transactions on Sustainable Energy
  • "Enhancing distribution system resilience against extreme weather events: Concept review, algorithm summary, and future vision" (2021) in International Journal of Electrical Power & Energy Systems

Frequent co-authors associated with Fangxing Li include:

  • Hantao Cui
  • Qingxin Shi
  • Tao Ding
  • Qiwei Zhang
  • Buxin She

Fangxing Li has contributed to book publications as well, with a noted title being "Deep Learning for Power System Applications," published by Springer Nature in 2023.

Best Publications

  • Smart Transmission Grid: Vision and Framework

    Fangxing Li;Wei Qiao;Hongbin Sun;Hui Wan

  • DCOPF-Based LMP simulation: algorithm, comparison with ACOPF, and sensitivity

    Fangxing Li;Rui Bo

  • Next-Generation Monitoring, Analysis, and Control for the Future Smart Control Center

    Pei Zhang;Fangxing Li;N Bhatt

  • Coordinated V-f and P-Q Control of Solar Photovoltaic Generators With MPPT and Battery Storage in Microgrids

    Sarina Adhikari;Fangxing Li

  • Distribution Locational Marginal Pricing (DLMP) for Congestion Management and Voltage Support

    Linquan Bai;Jianhui Wang;Chengshan Wang;Chen Chen

  • Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty

    Linquan Bai;Fangxing Li;Hantao Cui;Tao Jiang

  • Novel Linearized Power Flow and Linearized OPF Models for Active Distribution Networks With Application in Distribution LMP

    Haoyu Yuan;Fangxing Li;Yanli Wei;Jinxiang Zhu

  • Intelligent Multi-Microgrid Energy Management Based on Deep Neural Network and Model-Free Reinforcement Learning

    Yan Du;Fangxing Li

  • 5G network-based Internet of Things for demand response in smart grid: A survey on application potential

    Hongxun Hui;Yi Ding;Qingxin Shi;Fangxing Li

  • Analytical method to aggregate multi-machine SFR model with applications in power system dynamic studies

    Qingxin Shi;Fangxing Li;Hantao Cui

  • Review of reactive power planning: objectives, constraints, and algorithms

    Wenjuan Zhang;Fangxing Li;L. Tolbert

  • Hardware Design of Smart Home Energy Management System With Dynamic Price Response

    Qinran Hu;Fangxing Li

  • 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

  • Adaptive voltage control with distributed energy resources: Algorithm, theoretical analysis, simulation, and field test verification

    Huijuan Li;Fangxing Li;Yan Xu;D. Tom Rizy

  • Demand Response for Residential Appliances via Customer Reward Scheme

    Cynthujah Vivekananthan;Yateendra Mishra;Gerard Ledwich;Fangxing Li

  • Maximum Power Point Tracking Strategy for Large-Scale Wind Generation Systems Considering Wind Turbine Dynamics

    Can Huang;Fangxing Li;Zhiqiang Jin

  • Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning

    Yan Du;Helia Zandi;Olivera Kotevska;Kuldeep Kurte

  • Small-Signal Stability Analysis of a DFIG-Based Wind Power System Under Different Modes of Operation

    Y. Mishra;S. Mishra;Fangxing Li;Zhao Yang Dong

  • Sizing of Energy Storage and Diesel Generators in an Isolated Microgrid Using Discrete Fourier Transform (DFT)

    Jun Xiao;Linquan Bai;Fangxing Li;Haishen Liang

  • Coordinated Microgrid Frequency Regulation Based on DFIG Variable Coefficient Using Virtual Inertia and Primary Frequency Control

    Jingjing Zhao;Xue Lyu;Yang Fu;Xiaoguang Hu

  • Probabilistic LMP forecasting considering load uncertainty

    Rui Bo;Fangxing Li

Frequent Co-Authors

Rui Bo
Rui Bo Missouri University of Science and Technology
Tao Ding
Tao Ding Xi'an Jiaotong University
Hongjie Jia
Hongjie Jia Tianjin University
Hongbin Sun
Hongbin Sun Tsinghua University
Yateendra Mishra
Yateendra Mishra Queensland University of Technology
Leon M. Tolbert
Leon M. Tolbert University of Tennessee at Knoxville
Kevin Tomsovic
Kevin Tomsovic University of Tennessee at Knoxville
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi
Chengshan Wang
Chengshan Wang Tianjin University

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