World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
6277
World Ranking
8008
National Ranking
503

Songdong Shao 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 Songdong Shao 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: 87 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Songdong Shao 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 Songdong Shao 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: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Songdong Shao is affiliated with the University of Sheffield in the United Kingdom. Their research primarily falls within the field of Engineering, with a focus on Computational Mechanics, Earth-Surface Processes, Oceanography, Ecology, and Mechanics of Materials.

The scientist's main areas of investigation include:

  • Fluid Dynamics Simulations and Interactions
  • Lattice Boltzmann Simulation Studies
  • Coastal and Marine Dynamics
  • Numerical methods in engineering
  • Fluid Dynamics and Heat Transfer
  • Methane Hydrates and Related Phenomena
  • Wave and Wind Energy Systems

Songdong Shao has contributed multiple research papers across various scientific journals. Some recent publications include:

  • "Wave interactions with multi-float structures: SPH model, experimental validation, and parametric study" (2023), published in Coastal Engineering
  • "SPH modelling of turbulent open channel flow over and within natural gravel beds with rough interfacial boundaries" (2020), published in Advances in Water Resources
  • "An artificial damping method for total Lagrangian SPH method with application in biomechanics" (2022), published in Engineering Analysis with Boundary Elements
  • "MPM simulation of solitary wave run-up on permeable boundaries" (2021), published in Applied Ocean Research
  • "Advances in Modelling and Prediction on the Impact of Human Activities and Extreme Events on Environments" (2020), published in Water

The scientist frequently publishes in venues including Results in Engineering, Hydrosphere, Coastal Engineering, Advances in Water Resources, and Engineering Analysis with Boundary Elements.

Collaboration is a notable aspect of their work, with frequent co-authors being Matteo Rubinato, Shenglong Gu, Haitao Wu, Tiejian Li, and Deyu Zhong.

Best Publications

  • INCOMPRESSIBLE SPH METHOD FOR SIMULATING NEWTONIAN AND NON-NEWTONIAN FLOWS WITH A FREE SURFACE

    Songdong Shao;Edmond Y.M. Lo

  • Simulation of near-shore solitary wave mechanics by an incompressible SPH method

    Edmond Y.M. Lo;Songdong Shao

  • Corrected Incompressible SPH method for accurate water-surface tracking in breaking waves

    A. Khayyer;H. Gotoh;S.D. Shao

  • Simulation of wave overtopping by an incompressible SPH model

    Songdong Shao;Changming Ji;David I. Graham;Dominic E. Reeve

  • SPH-LES MODEL FOR NUMERICAL INVESTIGATION OF WAVE INTERACTION WITH PARTIALLY IMMERSED BREAKWATER

    Hitoshi Gotoh;Songdong Shao;Tetsu Memita

  • Incompressible SPH flow model for wave interactions with porous media

    Songdong Shao

  • ENHANCED PREDICTIONS OF WAVE IMPACT PRESSURE BY IMPROVED INCOMPRESSIBLE SPH METHODS

    Abbas Khayyer;Hitoshi Gotoh;Songdong Shao

  • Incompressible SPH simulation of water entry of a free‐falling object

    Songdong Shao

  • Two-phase SPH simulation of fluid–structure interactions

    Kai Gong;Songdong Shao;Songdong Shao;Songdong Shao;Hua Liu;Benlong Wang

  • Turbulence particle models for tracking free surfaces

    Songdong Shao;Hitoshi Gotoh

  • Development of a projection-based SPH method for numerical wave flume with porous media of variable porosity

    Abbas Khayyer;Hitoshi Gotoh;Yuma Shimizu;Kohji Gotoh

  • Incompressible SPH simulation of wave breaking and overtopping with turbulence modelling

    Songdong Shao

  • An improved incompressible SPH model for simulation of wave–structure interaction

    Xin Liu;Haihua Xu;Songdong Shao;Pengzhi Lin

  • An ISPH simulation of coupled structure interaction with free surface flows

    Xin Liu;Pengzhi Lin;Songdong Shao;Songdong Shao

  • SIMULATING COUPLED MOTION OF PROGRESSIVE WAVE AND FLOATING CURTAIN WALL BY SPH-LES MODEL

    Songdong Shao;Hitoshi Gotoh

  • Simulation of breaking wave by SPH method coupled with k-¿ model

    Songdong Shao

  • SPH simulation of solitary wave interaction with a curtain-type breakwater

    Songdong Shao

  • Incompressible smoothed particle hydrodynamics simulation of multifluid flows

    Songdong Shao

  • Wave interactions with multi-float structures: SPH model, experimental validation and parametric study

    Unknown

  • Corrected First-Order Derivative ISPH in Water Wave Simulations

    Xing Zheng;Songdong Shao;Songdong Shao;Abbas Khayyer;Wenyang Duan

  • Incompressible SPH scour model for movable bed dam break flows

    Qihua Ran;Jian Tong;Songdong Shao;Songdong Shao;Xudong Fu

Frequent Co-Authors

Hitoshi Gotoh
Hitoshi Gotoh Kyoto University
Abbas Khayyer
Abbas Khayyer Kyoto University
Soon Keat Tan
Soon Keat Tan Nanyang Technological University
Yuefei Huang
Yuefei Huang Tsinghua University
Pengzhi Lin
Pengzhi Lin Sichuan University
Guangqian Wang
Guangqian Wang Tsinghua University
Nian-Sheng Cheng
Nian-Sheng Cheng Zhejiang University
Dominic E. Reeve
Dominic E. Reeve Swansea University
Andrew Chadwick
Andrew Chadwick Loughborough University

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