World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
5784
World Ranking
4545
National Ranking
685

Ping Ju 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 Ping Ju 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: 215 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Ping Ju 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 Ping Ju 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: 40 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Ping Ju is affiliated with Hohai University in China and works primarily within the field of Engineering. Their research spans several subfields, including Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Cognitive Neuroscience, and Safety, Risk, Reliability and Quality.

The scientist's scholarly output covers a range of topics linked to power systems and smart grid technologies. These main topics of work include:

  • Microgrid Control and Optimization
  • Optimal Power Flow Distribution
  • Smart Grid Energy Management
  • Power System Optimization and Stability
  • Power Systems and Renewable Energy
  • Energy Load and Power Forecasting
  • Integrated Energy Systems Optimization

Frequent publication venues where Ping Ju has contributed multiple works are:

  • IEEE Transactions on Power Systems
  • IEEE Transactions on Smart Grid
  • IEEE Access
  • Journal of Modern Power Systems and Clean Energy
  • IET Generation Transmission & Distribution

Among the recent papers associated with this researcher are:

  • "Placing Grid-Forming Converters to Enhance Small Signal Stability of PLL-Integrated Power Systems" (2020), IEEE Transactions on Power Systems
  • "MDP-Based Distribution Network Reconfiguration With Renewable Distributed Generation: Approximate Dynamic Programming Approach" (2020), IEEE Transactions on Smart Grid
  • "A systematic review on power system resilience from the perspective of generation, network, and load" (2022), Renewable and Sustainable Energy Reviews
  • "Coordinated Control of Air-Conditioning Loads for System Frequency Regulation" (2020), IEEE Transactions on Smart Grid
  • "Damping Effect of Virtual Synchronous Machines Provided by a Dynamical Virtual Impedance" (2020), IEEE Transactions on Energy Conversion

Ping Ju frequently collaborates with a group of co-authors, including Zhiyi Li, Can Wan, Huanhai Xin, Yuqing Jin, and Linbin Huang. These collaborators have coauthored numerous papers with Ping Ju, reflecting ongoing research partnerships.

Best Publications

  • Small signal stability analysis and optimal control of a wind turbine with doubly fed induction generator

    F. Wu;X.-P. Zhang;K. Godfrey;P. Ju

  • Placing Grid-Forming Converters to Enhance Small Signal Stability of PLL-Integrated Power Systems

    Chaoran Yang;Linbin Huang;Huanhai Xin;Ping Ju

  • Grid-Synchronization Stability Analysis and Loop Shaping for PLL-Based Power Converters With Different Reactive Power Control

    Linbin Huang;Huanhai Xin;Zhiyi Li;Ping Ju

  • Modeling and Control of AWS-Based Wave Energy Conversion System Integrated Into Power Grid

    Feng Wu;Xiao-Ping Zhang;Ping Ju;M. Sterling

  • Decentralized Nonlinear Control of Wind Turbine With Doubly Fed Induction Generator

    Feng Wu;Xiao-Ping Zhang;Ping Ju;M.J.H. Sterling

  • A systematic review on power system resilience from the perspective of generation, network, and load

    Unknown

  • Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization

    Yufei Tang;Ping Ju;Haibo He;Chuan Qin

  • Nonlinear dynamic load modelling: model and parameter estimation

    P. Ju;E. Handschin;D. Karlsson

  • Small signal stability analysis and control of the wind turbine with the direct-drive permanent magnet generator integrated to the grid

    F Wu;Xiao-Ping Zhang;P Ju

  • MDP-Based Distribution Network Reconfiguration With Renewable Distributed Generation: Approximate Dynamic Programming Approach

    Chong Wang;Shunbo Lei;Ping Ju;Chen Chen

  • Continuation three-phase power flow: a tool for voltage stability analysis of unbalanced three-phase power systems

    Xiao-Ping Zhang;Ping Ju;E. Handschin

  • Optimal Control for AWS-Based Wave Energy Conversion System

    Feng Wu;Xiao Ping Zhang;Ping Ju;M.J.H. Sterling

  • Probabilistic load flow computation of a power system containing wind farms using the method of combined cumulants and Gram-Charlier expansion

    Yue Yuan;Jianhua Zhou;Ping Ju;Julian Feuchtwang

  • Oscillation Energy Analysis of Inter-Area Low-Frequency Oscillations in Power Systems

    Yiping Yu;Santiago Grijalva;James Jamal Thomas;Leilei Xiong

  • Markov Decision Process-Based Resilience Enhancement for Distribution Systems: An Approximate Dynamic Programming Approach

    Chong Wang;Ping Ju;Shunbo Lei;Zhaoyu Wang

  • Modeling, Control Strategy, and Power Conditioning for Direct-Drive Wave Energy Conversion to Operate With Power Grid

    Feng Wu;Ping Ju;Xiao-Ping Zhang;C. Qin

  • Coordinated Control of Air-Conditioning Loads for System Frequency Regulation

    Tingyu Jiang;Ping Ju;Chong Wang;Hongyu Li

  • Applications of battery energy storage system for wind power dispatchability purpose

    Yue Yuan;Xinsong Zhang;Ping Ju;Kejun Qian

  • Modeling and Control of Wind Turbine with Doubly Fed Induction Generator

    Feng Wu;Xiao-ping Zhang;Keith Godfrey;Ping Ju

  • Dynamic equivalents of power systems with online measurements. Part 1: Theory

    P. Ju;L.Q. Ni;F. Wu

  • Composite load models based on field measurements and their applications in dynamic analysis

    P. Ju;F. Wu;Z.-Y. Shao;X.-P. Zhang

  • Genetic algorithm aided controller design with application to SVC

    P. Ju;E. Handschin;F. Reyer

  • Responses and stability of power system under small Gauss type random excitation

    JianYong Zhang;Ping Ju;YiPing Yu;Feng Wu

Frequent Co-Authors

Xiao-Ping Zhang
Xiao-Ping Zhang University of Birmingham
Huanhai Xin
Huanhai Xin Zhejiang University
Zhiyi Li
Zhiyi Li Zhejiang University
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Yunhe Hou
Yunhe Hou University of Hong Kong
Yilu Liu
Yilu Liu University of Tennessee at Knoxville
Zhinong Wei
Zhinong Wei Hohai University
Christian Rehtanz
Christian Rehtanz TU Dortmund University
Xiaoming Yuan
Xiaoming Yuan Huazhong University of Science and Technology
Yonghua Song
Yonghua Song University of Macau

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