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Engineering and Technology
China
2026

D-Index & Metrics

Engineering and Technology

D-Index
81
Citations
23471
World Ranking
496
National Ranking
82

Li Min Zhang 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 Li Min Zhang 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: 563 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Li Min Zhang 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 Li Min Zhang 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: 81 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in China Leader Award
  • 2025 - Research.com Engineering and Technology in China Leader Award

Overview

Li Min Zhang is affiliated with the Hong Kong University of Science and Technology in China. Their research focuses primarily on engineering and environmental science, with significant contributions across several subfields including civil and structural engineering, management, monitoring, policy and law, global and planetary change, atmospheric science, and mechanical engineering.

The scientist's work covers a diverse range of topics within geotechnical and environmental studies. Key themes include landslides and related hazards, geotechnical engineering and analysis, dam engineering and safety, flood risk assessment and management, geotechnical engineering and underground structures, cryospheric studies and observations, and soil and unsaturated flow.

Li Min Zhang has published extensively in a number of scientific venues. Their most frequent publication outlets include:

  • Engineering Geology
  • Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
  • SSRN Electronic Journal
  • Computers and Geotechnics
  • Journal of Geotechnical and Geoenvironmental Engineering

Recent papers highlight their involvement in applying machine learning methods and artificial intelligence to geoscience challenges. Selected recent publications include:

  • Landslide identification using machine learning, 2020, Geoscience Frontiers
  • Machine learning and landslide studies: recent advances and applications, 2022, Natural Hazards
  • Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks, 2020, Geoscience Frontiers
  • AI-powered landslide susceptibility assessment in Hong Kong, 2021, Engineering Geology
  • Barrier lake bursting and flood routing in the Yarlung Tsangpo Grand Canyon in October 2018, 2020, Journal of Hydrology

Collaboration has been an important component of their research. Frequent co-authors include Jian He, Te Xiao, Ming Peng, Hongyu Luo, and Haojie Wang.

Best Publications

  • Earthquake-Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

    Xuanmei Fan;Gianvito Scaringi;Gianvito Scaringi;Oliver Korup;A. Joshua West

  • Foundation Analysis and Design

    Robert L. Parsons;Limin Zhang;Wei Dong Guo;K. K. Phoon

  • A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties

    Dian-Qing Li;Shui-Hua Jiang;Shui-Hua Jiang;Zi-Jun Cao;Wei Zhou

  • Breaching Parameters for Earth and Rockfill Dams

    Y. Xu;L. M. Zhang

  • Slope reliability analysis considering spatially variable shear strength parameters using a non-intrusive stochastic finite element method

    Shui-Hua Jiang;Dian-Qing Li;Li-Min Zhang;Chuang-Bing Zhou

  • Critical Hydraulic Gradients of Internal Erosion under Complex Stress States

    Dong Sheng Chang;Li Min Zhang

  • Characterization of dual-structure pore-size distribution of soil

    X. Li;L. M. Zhang

  • Landslide identification using machine learning

    Haojie Wang;Li Min Zhang;Kesheng Yin;Hongyu Luo

  • Extended internal stability criteria for soils under seepage

    Dong Sheng Chang;Li Min Zhang

  • A Stress-controlled Erosion Apparatus for Studying Internal Erosion in Soils

    D. S. Chang;L. M. Zhang

  • Enhancement of random finite element method in reliability analysis and risk assessment of soil slopes using Subset Simulation

    Dian-Qing Li;Te Xiao;Zi-Jun Cao;Zi-Jun Cao;Chuang-Bing Zhou

  • Centrifuge Testing of Large Laterally Loaded Pile Groups in Sands

    Michael McVay;Limin Zhang;Thomas Molnit;Peter Lai

  • Effect of spatially variable shear strength parameters with linearly increasing mean trend on reliability of infinite slopes

    Dian Qing Li;Xiao Hui Qi;Kok Kwang Phoon;Li Min Zhang

  • Simulation of the erosion process of landslide dams due to overtopping considering variations in soil erodibility along depth.

    D. S. Chang;L. M. Zhang

  • Study of desiccation crack initiation and development at ground surface

    J.H. Li;J.H. Li;L.M. Zhang

  • Characterizing geotechnical anisotropic spatial variations using random field theory

    Unknown

  • Back analysis of slope failure with Markov chain Monte Carlo simulation

    L.L. Zhang;J. Zhang;J. Zhang;L.M. Zhang;W.H. Tang

  • Dam Failure Mechanisms and Risk Assessment

    Li Min Zhang;Ming Peng;Dongsheng Chang;Yao Xu

  • Rainfall-induced slope failure considering variability of soil properties

    L. L. Zhang;L. M. Zhang;W. H. Tang

  • Impact of the 2008 Wenchuan Earthquake in China on Subsequent Long-Term Debris Flow Activities in the Epicentral Area

    Shuai Zhang;Shuai Zhang;Limin Zhang

  • Bayesian Framework for Characterizing Geotechnical Model Uncertainty

    J. Zhang;L. M. Zhang;Wilson H. Tang

Frequent Co-Authors

Dian-Qing Li
Dian-Qing Li Wuhan University
Charles Wang Wai Ng
Charles Wang Wai Ng Hong Kong University of Science and Technology
Chuangbing Zhou
Chuangbing Zhou Nanchang University
Kok-Kwang Phoon
Kok-Kwang Phoon Singapore University of Technology and Design
Delwyn G. Fredlund
Delwyn G. Fredlund University of Saskatchewan
Zi-Jun Cao
Zi-Jun Cao Southwest Jiaotong University
Hongwei Huang
Hongwei Huang Tongji University
Qiang Xu
Qiang Xu Chengdu University of Technology
Gordon A. Fenton
Gordon A. Fenton Dalhousie University
D. V. Griffiths
D. V. Griffiths Colorado School of Mines

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