World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
5843
World Ranking
7391
National Ranking
1337

Xiaohui Yuan 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 Xiaohui Yuan 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: 80 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Xiaohui Yuan 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 Xiaohui Yuan 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Xiaohui Yuan is affiliated with Huazhong University of Science and Technology in China, specializing in engineering with a focus on several subfields including electrical and electronic engineering, civil and structural engineering, artificial intelligence, computer vision and pattern recognition, and statistics and probability.

Their research covers a variety of topics primarily related to environmental and engineering domains. Main themes include hydrology and watershed management studies, flood risk assessment and management, water systems and optimization, energy load and power forecasting, 3D IC and TSV technologies, statistical methods and inference, and water resources management and optimization.

Recent publications by Xiaohui Yuan demonstrate interdisciplinary engagement across environmental modeling, energy, and mechatronics. Notable papers include:

  • Designing and implementing an SWMM-based web service framework to provide decision support for real-time urban stormwater management (2020, Environmental Modelling & Software)
  • Reference Evapotranspiration Modeling Using New Heuristic Methods (2020, Entropy)
  • Investigation into the Effects of Climate Change on Reference Evapotranspiration Using the HadCM3 and LARS-WG (2020, Water)
  • An enhanced Borg algorithmic framework for solving the hydro-thermal-wind Co-scheduling problem (2020, Energy)
  • Transfer Graph-Driven Rotating Machinery Diagnosis Considering Cross-Domain Relationship Construction (2022, IEEE/ASME Transactions on Mechatronics)

Frequent collaborators in Xiaohui Yuan's research include Yanbin Yuan, Ali Mahmoud, Chenxi Wang, Bo Yang, and Fei Tang, indicating a network of active research partnerships.

The most common venues for publishing research are diverse but centered around both preprint and peer-reviewed domains. These include:

  • arXiv (Cornell University)
  • Water
  • Energy Reports
  • Journal of Hydrology
  • Nonlinear Dynamics

Best Publications

  • Monthly runoff forecasting based on LSTM–ALO model

    Xiaohui Yuan;Xiaohui Yuan;Chen Chen;Xiaohui Lei;Yanbin Yuan

  • Short-term wind power prediction based on LSSVM–GSA model

    Xiaohui Yuan;Chen Chen;Yanbin Yuan;Yuehua Huang

  • Design of a fractional order PID controller for hydraulic turbine regulating system using chaotic non-dominated sorting genetic algorithm II

    Zhihuan Chen;Xiaohui Yuan;Bin Ji;Pengtao Wang

  • An improved PSO for dynamic load dispatch of generators with valve-point effects

    Xiaohui Yuan;Anjun Su;Yanbin Yuan;Hao Nie

  • An improved binary particle swarm optimization for unit commitment problem

    Xiaohui Yuan;Hao Nie;Anjun Su;Liang Wang

  • Wind power prediction using hybrid autoregressive fractionally integrated moving average and least square support vector machine

    Xiaohui Yuan;Qingxiong Tan;Xiaohui Lei;Yanbin Yuan

  • Prediction interval of wind power using parameter optimized Beta distribution based LSTM model

    Xiaohui Yuan;Xiaohui Yuan;Chen Chen;Min Jiang;Yanbin Yuan

  • Improved gravitational search algorithm for parameter identification of water turbine regulation system

    Zhihuan Chen;Xiaohui Yuan;Hao Tian;Bin Ji

  • A modified differential evolution approach for dynamic economic dispatch with valve-point effects

    Xiaohui Yuan;Liang Wang;Yanbin Yuan;Yongchuan Zhang

  • An extended NSGA-III for solution multi-objective hydro-thermal-wind scheduling considering wind power cost

    Xiaohui Yuan;Hao Tian;Yanbin Yuan;Yuehua Huang

  • Multi-objective optimal power flow based on improved strength Pareto evolutionary algorithm

    Xiaohui Yuan;Binqiao Zhang;Pengtao Wang;Ji Liang

  • A hybrid differential evolution method for dynamic economic dispatch with valve-point effects

    Xiaohui Yuan;Liang Wang;Yongchuan Zhang;Yanbin Yuan

  • Improved gravitational search algorithm for unit commitment considering uncertainty of wind power

    Bin Ji;Xiaohui Yuan;Zhihuan Chen;Hao Tian

  • Application of enhanced discrete differential evolution approach to unit commitment problem

    Xiaohui Yuan;Anjun Su;Hao Nie;Yanbin Yuan

  • Application of enhanced PSO approach to optimal scheduling of hydro system

    Xiaohui Yuan;Liang Wang;Yanbin Yuan

  • A new approach for unit commitment problem via binary gravitational search algorithm

    Xiaohui Yuan;Bin Ji;Shuangquan Zhang;Hao Tian

  • Nonlinear dynamic analysis and robust controller design for Francis hydraulic turbine regulating system with a straight-tube surge tank

    Ji Liang;Xiaohui Yuan;Yanbin Yuan;Zhihuan Chen

  • Multi-objective optimization of short-term hydrothermal scheduling using non-dominated sorting gravitational search algorithm with chaotic mutation

    Hao Tian;Xiaohui Yuan;Bin Ji;Zhihuan Chen

  • A new quantum inspired chaotic artificial bee colony algorithm for optimal power flow problem

    Xiaohui Yuan;Pengtao Wang;Yanbin Yuan;Yuehua Huang

  • An enhanced differential evolution algorithm for daily optimal hydro generation scheduling

    Xiaohui Yuan;Yongchuan Zhang;Liang Wang;Yanbin Yuan

Frequent Co-Authors

Ozgur Kisi
Ozgur Kisi Ilia State University
Herbert Ho-Ching Iu
Herbert Ho-Ching Iu University of Western Australia
Tyrone Fernando
Tyrone Fernando University of Western Australia
Ahmed El-Shafie
Ahmed El-Shafie United Arab Emirates University

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