World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
10248
World Ranking
2874
National Ranking
577

Jidong Zhao 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 Jidong Zhao 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: 244 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Jidong Zhao 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 Jidong Zhao 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Jidong Zhao is affiliated with the Hong Kong University of Science and Technology in China. Their research primarily focuses on the field of engineering, with a specialization in civil and structural engineering, computational mechanics, and mechanics of materials. Zhao's work also intersects with management, monitoring, policy and law, as well as ocean engineering.

Their scholarly output covers various topics, including landslides and related hazards, fluid dynamics simulations and interactions, geotechnical engineering and soil mechanics, geotechnical engineering and underground structures, granular flow and fluidized beds, numerical methods in engineering, and lattice Boltzmann simulation studies.

Frequent coauthors collaborating with Zhao include Shiwei Zhao, Weijian Liang, Fan Zhu, Zhengshou Lai, and Xingyue Li.

In terms of publication venues, Zhao has contributed extensively to the following journals:

  • Computers and Geotechnics
  • Computer Methods in Applied Mechanics and Engineering
  • Acta Geotechnica
  • Powder Technology
  • International Journal for Numerical and Analytical Methods in Geomechanics

Recent papers authored or coauthored by Zhao include:

  • The role of particle shape in computational modelling of granular matter, 2023, Nature Reviews Physics

Other notable recent works related to the broader research field include:

  • Investigating the effect of flow direction on suffusion and its impacts on gap-graded granular soils, 2020, Acta Geotechnica
  • Peridynamic modelling of blasting induced rock fractures, 2021, Journal of the Mechanics and Physics of Solids
  • A homogenization equation for the small strain stiffness of gap-graded granular materials, 2020, Computers and Geotechnics
  • Practical Estimation of Compression Behavior of Clayey/Silty Sands Using Equivalent Void-Ratio Concept, 2020, Journal of Geotechnical and Geoenvironmental Engineering

Best Publications

  • The signature of shear-induced anisotropy in granular media

    Ning Guo;Jidong Zhao

  • Coupled CFD–DEM simulation of fluid–particle interaction in geomechanics

    Jidong Zhao;Tong Shan

  • A coupled FEM/DEM approach for hierarchical multiscale modelling of granular media

    Ning Guo;Jidong Zhao

  • Unique critical state characteristics in granular media considering fabric anisotropy

    Jidong Zhao;Ning Guo

  • Fourier–Voronoi-based generation of realistic samples for discrete modelling of granular materials

    Guilhem Mollon;Jidong Zhao

  • 3D generation of realistic granular samples based on random fields theory and Fourier shape descriptors

    Guilhem Mollon;Jidong Zhao

  • A critical state sand plasticity model accounting for fabric evolution

    Zhiwei Gao;Jidong Zhao;Xiang-Song Li;Yannis F. Dafalias;Yannis F. Dafalias

  • Estimation of soil suction from the soil-water characteristic curve

    Delwyn G. FredlundD.G. Fredlund;Delwyn G. FredlundD.G. Fredlund;Delwyn G. FredlundD.G. Fredlund;Daichao ShengD. Sheng;Daichao ShengD. Sheng;Daichao ShengD. Sheng;Jidong ZhaoJ. Zhao;Jidong ZhaoJ. Zhao;Jidong ZhaoJ. Zhao

  • A generalized anisotropic failure criterion for geomaterials

    Zhiwei Gao;Jidong Zhao;Yangping Yao

  • The role of particle shape in computational modelling of granular matter

    Unknown

  • A micromechanics-based model for sand-silt mixtures

    Zhenyu Yin;Zhenyu Yin;Jidong Zhao;Pierre Yves Hicher;Pierre Yves Hicher

  • Quantifying the Impact of Dry Debris Flow Against a Rigid Barrier by DEM Analyses

    Weigang Shen;Tao Zhao;Jidong Zhao;Feng Dai

  • A coupled CFD-DEM analysis of granular flow impacting on a water reservoir

    Tong Shan;Jidong Zhao

  • Calibration of the continuous surface cap model for concrete

    Hua Jiang;Hua Jiang;Jidong Zhao

  • Generating realistic 3D sand particles using Fourier descriptors

    Guilhem Mollon;Jidong Zhao

  • The interplay between anisotropyand strain localisation in granular soils: a multiscale insight

    Unknown

  • A poly-superellipsoid-based approach on particle morphology for DEM modeling of granular media

    Shiwei Zhao;Jidong Zhao

  • A unified CFD‐DEM approach for modeling of debris flow impacts on flexible barriers

    Xingyue Li;Jidong Zhao

  • Investigating the effect of flow direction on suffusion and its impacts on gap-graded granular soils

    Hao Xiong;Zhen Yu Yin;Jidong Zhao;Yi Yang

  • 3D multiscale modeling of strain localization in granular media

    Ning Guo;Jidong Zhao

  • Modified UH model: Constitutive Modeling of Overconsolidated Clays based on a Parabolic Hvorslev Envelope

    Yangping Yao;Zhiwei Gao;Jidong Zhao;Zheng Wan

  • Explicit stress integration of complex soil models

    Jidong Zhao;Daichao Sheng;M. Rouainia;Scott William Sloan

  • Multiscale insights into classical geomechanics problems

    Ning Guo;Jidong Zhao

Frequent Co-Authors

Scott W. Sloan
Scott W. Sloan University of Newcastle Australia
Daichao Sheng
Daichao Sheng University of Technology Sydney
Zhen-Yu Yin
Zhen-Yu Yin Hong Kong Polytechnic University
K.T. Chau
K.T. Chau Hong Kong Polytechnic University
Kenichi Soga
Kenichi Soga University of California, Berkeley
Hong Zheng
Hong Zheng Beijing University of Technology
Yannis F. Dafalias
Yannis F. Dafalias University of California, Davis
Pierre-Yves Hicher
Pierre-Yves Hicher École Centrale de Nantes
John P. Carter
John P. Carter University of Newcastle Australia
Jian-Hua Yin
Jian-Hua Yin Hong Kong Polytechnic University

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