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Electronics and Electrical Engineering
Taiwan
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
74
Citations
16419
World Ranking
730
National Ranking
6

Rong-Jong Wai 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 Rong-Jong Wai 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: 294 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Rong-Jong Wai 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 Rong-Jong Wai 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: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Taiwan Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Taiwan Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Taiwan Leader Award

Overview

Rong-Jong Wai is affiliated with the National Taiwan University of Science and Technology in Taiwan. Their research predominantly lies within the broad field of Engineering, with a significant focus on Electrical and Electronic Engineering, Control and Systems Engineering, and Energy Engineering and Power Technology. The scientist's work also touches upon Safety, Risk, Reliability and Quality as well as Statistics, Probability and Uncertainty.

The scientist's research contributions are concentrated on topics including:

  • Microgrid Control and Optimization
  • Electrical Fault Detection and Protection
  • Islanding Detection in Power Systems
  • Integrated Circuits and Semiconductor Failure Analysis
  • Machine Fault Diagnosis Techniques
  • Power Systems and Renewable Energy
  • Frequency Control in Power Systems

Rong-Jong Wai has published extensively in numerous venues, with frequent publications in:

  • IEEE Access
  • Energies
  • IEEE Journal of Photovoltaics
  • IEEE Transactions on Power Electronics
  • IEEE Transactions on Instrumentation and Measurement

Several recent papers authored or co-authored by Rong-Jong Wai include:

  • "A Novel Fault Identification Method for Photovoltaic Array via Convolutional Neural Network and Residual Gated Recurrent Unit" (2020), IEEE Access
  • "Intelligent DC Arc-Fault Detection of Solar PV Power Generation System via Optimized VMD-Based Signal Processing and PSO-SVM Classifier" (2022), IEEE Journal of Photovoltaics
  • "A Newly Designed Diagnostic Method for Mechanical Faults of High-Voltage Circuit Breakers via SSAE and IELM" (2020), IEEE Transactions on Instrumentation and Measurement
  • "Adaptive Fuzzy-Neural-Network Power Decoupling Strategy for Virtual Synchronous Generator in Micro-Grid" (2021), IEEE Transactions on Power Electronics
  • "Series Arc Fault Detection of Grid-Connected PV System via SVD Denoising and IEWT-TWSVM" (2021), IEEE Journal of Photovoltaics

Throughout their career, Rong-Jong Wai has collaborated frequently with the following researchers:

  • Wei Gao
  • Quan-Quan Zhang
  • Mou-Fa Guo
  • Yu-Long Shen
  • Yan Yang

Best Publications

  • High step-up converter with coupled-inductor

    Rong-Jong Wai;Rou-Yong Duan

  • High-Performance Stand-Alone Photovoltaic Generation System

    Rong-Jong Wai;Wen-Hung Wang;Chung-You Lin

  • High-Efficiency DC-DC Converter With High Voltage Gain and Reduced Switch Stress

    Rong-Jong Wai;Chung-You Lin;Rou-Yong Duan;Yung-Ruei Chang

  • Grid-Connected Photovoltaic Generation System

    Rong-Jong Wai;Wen-Hung Wang

  • Real-Time PID Control Strategy for Maglev Transportation System via Particle Swarm Optimization

    Rong-Jong Wai;Jeng-Dao Lee;Kun-Lun Chuang

  • High-efficiency DC/DC converter with high voltage gain

    Wai Rong-Jong;Duan Rou-Yong

  • Design of Voltage Tracking Control for DC–DC Boost Converter Via Total Sliding-Mode Technique

    Rong-Jong Wai;Li-Chung Shih

  • Fuzzy Sliding-Mode Control Using Adaptive Tuning Technique

    Rong-Jong Wai

  • High-Efficiency Power Conversion System for Kilowatt-Level Stand-Alone Generation Unit With Low Input Voltage

    Rong-Jong Wai;Chung-You Lin;Rou-Yong Duan;Yung-Ruei Chang

  • High-performance solar photovoltaic ( PV) energy conversion system

    Rong-Jong Wai;Wen-Hung Wang

  • ADAPTIVE FUZZY SLIDING-MODE CONTROL FOR ELECTRICAL SERVO DRIVE

    Rong-Jong Wai;Chih-Min Lin;Chun-Fei Hsu

  • A supervisory fuzzy neural network control system for tracking periodic inputs

    Faa-Jeng Lin;Wen-Jyi Hwang;Rong-Jong Wai

  • High-efficiency power conversion for low power fuel cell generation system

    Rong-Jong Wai;Rou-Yong Duan

  • Fuzzy-Neural-Network Inherited Sliding-Mode Control for Robot Manipulator Including Actuator Dynamics

    Rong-Jong Wai;Rajkumar Muthusamy

  • Adaptive sliding-mode control for induction servomotor drive

    R.-J. Wai

  • Adaptive Fuzzy Neural Network Control Design via a T–S Fuzzy Model for a Robot Manipulator Including Actuator Dynamics

    Rong-Jong Wai;Zhi-Wei Yang

  • Design of Dynamic Petri Recurrent Fuzzy Neural Network and Its Application to Path-Tracking Control of Nonholonomic Mobile Robot

    Rong-Jong Wai;Chia-Ming Liu

  • Total sliding-mode controller for PM synchronous servo motor drive using recurrent fuzzy neural network

    Rong-Jong Wai

  • Tracking control based on neural network strategy for robot manipulator

    Rong-Jong Wai

  • Adaptive Fuzzy-Neural-Network Design for Voltage Tracking Control of a DC–DC Boost Converter

    Rong-Jong Wai;Li-Chung Shih

  • High-efficiency DC-DC converter with high voltage gain and reduced switch stress

    Rong-Jong Wai;Chung-You Lin;Rou-Yong Duan

Frequent Co-Authors

Faa-Jeng Lin
Faa-Jeng Lin National Central University
Chih-Min Lin
Chih-Min Lin Yuan Ze University
Kuo-Kai Shyu
Kuo-Kai Shyu National Central University
Rong-Fong Fung
Rong-Fong Fung National Kaohsiung First University of Science and Technology
Fabrizio Marignetti
Fabrizio Marignetti University of Cassino and Southern Lazio
Binggang Cao
Binggang Cao Xi'an Jiaotong University

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