World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
6812
World Ranking
6969
National Ranking
70

Hong-Tzer Yang publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Hong-Tzer Yang sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 161 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Hong-Tzer Yang D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Hong-Tzer Yang sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Hong-Tzer Yang is affiliated with National Cheng Kung University in Taiwan, contributing primarily to the field of engineering. Their research spans various subfields including electrical and electronic engineering, control and systems engineering, automotive engineering, renewable energy, sustainability and the environment, as well as artificial intelligence.

The scientist's work addresses multiple main topics such as energy load and power forecasting, smart grid energy management, electric vehicles and infrastructure, optimal power flow distribution, microgrid control and optimization, advanced battery technologies research, and solar radiation and photovoltaics.

Some of their recent publications include:

  • "An energy management strategy with renewable energy and energy storage system for a large electric vehicle charging station," 2020, published in eTransportation
  • "Statistical Load Forecasting Using Optimal Quantile Regression Random Forest and Risk Assessment Index," 2020, published in IEEE Transactions on Smart Grid
  • "Machine learning approach to uncovering residential energy consumption patterns based on socioeconomic and smart meter data," 2021, published in Energy
  • "Short-Term Photovoltaic Power Forecasting Using a Convolutional Neural Network-Salp Swarm Algorithm," 2020, published in Energies
  • "Blockchain Power Trading and Energy Management Platform," 2022, published in IEEE Access

The frequent co-authors collaborating with Hong-Tzer Yang include Jian-Tang Liao, Chao-Ming Huang, Yi-Syuan Wu, Happy Aprillia, and Jiaqi Duan.

Their research is often published in venues such as:

  • Energies
  • SSRN Electronic Journal
  • IEEE Access
  • arXiv (Cornell University)
  • Frontiers in Energy Research

Best Publications

  • Evolutionary programming based economic dispatch for units with non-smooth fuel cost functions

    Hong-Tzer Yang;Pai-Chuan Yang;Ching-Lien Huang

  • A Weather-Based Hybrid Method for 1-Day Ahead Hourly Forecasting of PV Power Output

    Hong-Tzer Yang;Chao-Ming Huang;Yann-Chang Huang;Yi-Shiang Pai

  • Solving the capacitor placement problem in a radial distribution system using Tabu Search approach

    Yann-Chang Huang;Hong-Tzer Yang;Ching-Lien Huang

  • Developing a new transformer fault diagnosis system through evolutionary fuzzy logic

    Yann-Chang Huang;Hong-Tzer Yang;Ching-Lien Huang

  • A de-noising scheme for enhancing wavelet-based power quality monitoring system

    Hong-Tzer Yang;Chiung-Chou Liao

  • Identification of ARMAX model for short term load forecasting: an evolutionary programming approach

    Hong-Tzer Yang;Chao-Ming Huang;Ching-Lien Huang

  • A new short-term load forecasting approach using self-organizing fuzzy ARMAX models

    Hong-Tzer Yang;Chao-Ming Huang

  • Bi-objective power dispatch using fuzzy satisfaction-maximizing decision approach

    Chao-Ming Huang;Hong-Tzer Yang;Ching-Lien Huang

  • Scheduling short-term hydrothermal generation using evolutionary programming techniques

    P.-C. Yang;H.-T. Yang;C.-L. Huang

  • Adaptive fuzzy diagnosis system for dissolved gas analysis of power transformers

    Hong-Tzer Yang;Chiung-Chou Liao

  • An energy management strategy with renewable energy and energy storage system for a large electric vehicle charging station

    Desheng Li;Adama Zouma;Jian Tang Liao;Hong Tzer Yang

  • A new neural networks approach to on-line fault section estimation using information of protective relays and circuit breakers

    Hong-Tzer Yang;Wen-Yeau Chang;Ching-Lien Huang

  • A new thermal unit commitment approach using constraint logic programming

    Kun-Yuan Huang;Hong-Tzer Yang;Ching-Lien Huang

  • Incorporating a multi-criteria decision procedure into the combined dynamic programming/production simulation algorithm for generation expansion planning

    H. T. Yang;S. L. Chen

  • A parallel genetic algorithm approach to solving the unit commitment problem: implementation on the transputer networks

    Hong-Tzer Yang;Pai-Chuan Yang;Ching-Lien Huang

  • Optimal Operation and Bidding Strategy of a Virtual Power Plant Integrated with Energy Storage Systems and Elasticity Demand Response

    Wenjun Tang;Hong Tzer Yang

  • Statistical Load Forecasting Using Optimal Quantile Regression Random Forest and Risk Assessment Index

    Happy Aprillia;Hong-Tzer Yang;Chao-Ming Huang

  • Machine learning approach to uncovering residential energy consumption patterns based on socioeconomic and smart meter data

    Wenjun Tang;Wenjun Tang;Hao Wang;Xian Long Lee;Hong Tzer Yang

  • Load Identification in Neural Networks for a Non-intrusive Monitoring of Industrial Electrical Loads

    Hsueh-Hsien Chang;Hong-Tzer Yang;Ching-Lung Lin

  • Design a Neural Network for Features Selection in Non-intrusive Monitoring of Industrial Electrical Loads

    Hong-Tzer Yang;Hsueh-Hsien Chang;Ching-Lung Lin

  • Load recognition for different loads with the same real power and reactive power in a non-intrusive load-monitoring system

    Hsueh-Hsien Chang;Ching-Lung Lin;Hong-Tzer Yang

  • An improved single-stage Flyback PFC converter for high-luminance lighting LED lamps

    Huang-Jen Chiu;Hsiu-Ming Huang;Hong-Tzer Yang;Shih-Jen Cheng

Frequent Co-Authors

Jiann-Fuh Chen
Jiann-Fuh Chen National Cheng Kung University
Huang-Jen Chiu
Huang-Jen Chiu National Taiwan University of Science and Technology
Tsorng-Juu Liang
Tsorng-Juu Liang National Cheng Kung University
Mi-Ching Tsai
Mi-Ching Tsai National Cheng Kung University
Saad Mekhilef
Saad Mekhilef Swinburne University of Technology

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