World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5957
World Ranking
8653
National Ranking
16

Weerakorn Ongsakul 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 Weerakorn Ongsakul 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: 219 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Weerakorn Ongsakul 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 Weerakorn Ongsakul 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: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Weerakorn Ongsakul is affiliated with the Asian Institute of Technology in Thailand. Their research primarily focuses on engineering, with extensive work within the subfields of electrical and electronic engineering, control and systems engineering, energy engineering and power technology, automotive engineering, and artificial intelligence.

The scientific contributions of Ongsakul center on several main topics, including smart grid energy management, energy load and power forecasting, microgrid control and optimization, electric vehicles and infrastructure, advanced battery technologies research, solar radiation and photovoltaics, and optimal power flow distribution.

Their publication record includes papers spanning multiple journals and conferences. Frequent venues for Ongsakul's work include:

  • Electrical Engineering
  • Sustainable Energy Technologies and Assessments
  • Energy Sustainable Development/Energy for sustainable development
  • Energy Conversion and Management
  • International Journal of Energy Research

Significant recent publications by Ongsakul comprise:

  • Optimal techno-economic feasibility study of net-zero carbon emission microgrid integrating second-life battery energy storage system, 2022, Energy Conversion and Management
  • Sliding window approach with first-order differencing for very short-term solar irradiance forecasting using deep learning models, 2021, Sustainable Energy Technologies and Assessments
  • Optimal energy management system for carbon-neutral microgrid integrating second-life batteries and crypto mining devices, 2024, Sustainable Energy Technologies and Assessments
  • Machine learning-based approach for useful capacity prediction of second-life batteries employing appropriate input selection, 2021, International Journal of Energy Research
  • Short term multi-steps wind speed forecasting for carbon neutral microgrid by decomposition based hybrid model, 2023, Energy Sustainable Development/Energy for sustainable development

Collaborative work has frequently included coauthors such as:

  • Nimal Madhu M.
  • Jai Govind Singh
  • Firuz Ahamed Nahid
  • Ankit Bhatt
  • Joyashree Roy

Ongsakul has contributed broadly to topics concerning the integration and optimization of renewable energy sources and battery storage systems within smart grid and microgrid configurations. Their studies involve technical and economic evaluation models and forecasting methods related to energy generation and management systems.

Best Publications

  • Unit commitment by enhanced adaptive Lagrangian relaxation

    W. Ongsakul;N. Petcharaks

  • Optimal Power Flow by Improved Evolutionary Programming

    W. Ongsakul;T. Tantimaporn

  • Optimal placement of wind turbines within wind farm using binary particle swarm optimization with time-varying acceleration coefficients

    Sittichoke Pookpunt;Weerakorn Ongsakul

  • A simulation model for predicting the performance of a solar photovoltaic system with alternating current loads

    Y. Sukamongkol;S. Chungpaibulpatana;W. Ongsakul

  • Cuckoo search algorithm for non-convex economic dispatch

    Dieu N. Vo;Peter Schegner;Weerakorn Ongsakul

  • Optimal power flow with FACTS devices by hybrid TS/SA approach

    W. Ongsakul;P. Bhasaputra

  • Optimal allocation of FACTS devices to enhance total transfer capability using evolutionary programming

    W. Ongsakul;P. Jirapong

  • ASEAN towards clean and sustainable energy: potentials, utilization and barriers.

    N. W. A. Lidula;Nadarajah Mithulananthan;W. Ongsakul;C. Widjaya

  • An efficient two stage stochastic optimal energy and reserve management in a microgrid

    Vivek Mohan;Jai Govind Singh;Weerakorn Ongsakul

  • Optimal techno-economic feasibility study of net-zero carbon emission microgrid integrating second-life battery energy storage system

    Unknown

  • Optimal multiple distributed generation placement in microgrid system by improved reinitialized social structures particle swarm optimization

    W. Prommee;W. Ongsakul

  • Optimal Reactive Power Dispatch Using Improved Pseudo-gradient Search Particle Swarm Optimization

    Jirawadee Polprasert;Weerakorn Ongsakul;Vo Ngoc Dieu

  • Artificial Intelligence in Power System Optimization

    Weerakorn Ongsakul;Vo Ngoc Dieu

  • Ant colony search algorithm for unit commitment

    T. Sum-im;W. Ongsakul

  • Parallel micro genetic algorithm for constrained economic dispatch

    J. Tippayachai;W. Ongsakul;I. Ngamroo

  • Optimal power flow with multi-type of FACTS devices by hybrid TS/SA approach

    P. Bhasaputra;W. Ongsakul

  • Ramp rate constrained unit commitment by improved priority list and augmented Lagrange Hopfield network

    Vo Ngoc Dieu;Weerakorn Ongsakul

  • Design of optimal wind farm configuration using a binary particle swarm optimization at Huasai district, Southern Thailand

    Sittichoke Pookpunt;Weerakorn Ongsakul

  • Sortino ratio based portfolio optimization considering EVs and renewable energy in microgrid power market

    Vivek Mohan;Jai Govind Singh;Weerakorn Ongsakul

  • Optimal multi-distributed generation placement by adaptive weight particle swarm optimization

    W. Prommee;W. Ongsakul

  • Constrained dynamic economic dispatch by simulated annealing/genetic algorithms

    W. Ongsakul;N. Ruangpayoongsak

Frequent Co-Authors

Issarachai Ngamroo
Issarachai Ngamroo King Mongkut's Institute of Technology Ladkrabang
Janusz Bialek
Janusz Bialek Imperial College London
Joydeep Mitra
Joydeep Mitra Michigan State University
Nadarajah Mithulananthan
Nadarajah Mithulananthan University of Queensland
Fangxing Li
Fangxing Li University of Tennessee at Knoxville
Anurag K. Srivastava
Anurag K. Srivastava West Virginia University
Manisa Pipattanasomporn
Manisa Pipattanasomporn Chulalongkorn University
Siba Sankar Mahapatra
Siba Sankar Mahapatra National Institute of Technology Rourkela
Kevin Tomsovic
Kevin Tomsovic University of Tennessee at Knoxville
Pandian Vasant
Pandian Vasant Ton Duc Thang University

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