World's Best Scientists 2026 revealed!
Chuangbing Zhou

Chuangbing Zhou

D-Index & Metrics

Engineering and Technology

D-Index
72
Citations
15269
World Ranking
935
National Ranking
174

Earth Science

D-Index
71
Citations
14355
World Ranking
937
National Ranking
57

Chuangbing Zhou 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 Chuangbing Zhou sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 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: 117 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: 59 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: 216 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Chuangbing Zhou 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 Chuangbing Zhou sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 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: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 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: 94 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: 24 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: 72 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

Chuangbing Zhou is affiliated with Nanchang University in China and has contributed extensively to research in the fields of engineering and environmental science. Their work spans multiple subfields including mechanics of materials, civil and structural engineering, management, monitoring, policy and law, safety, risk, reliability and quality, as well as mechanical engineering.

Their research covers a range of topics, with a focus on landslides and related hazards, rock mechanics and modeling, geotechnical engineering and analysis, dam engineering and safety, cryospheric studies and observations, geotechnical and geomechanical engineering, and hydraulic fracturing and reservoir analysis.

Recent notable publications by Chuangbing Zhou include:

  • Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model, 2020, Landslides
  • Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors, 2022, Journal of Rock Mechanics and Geotechnical Engineering
  • Efficient probabilistic back analysis of spatially varying soil parameters for slope reliability assessment, 2020, Engineering Geology
  • Experimental study of the failure mode and mechanism of loess fill slopes induced by rainfall, 2020, Engineering Geology
  • Uncertainties of landslide susceptibility prediction considering different landslide types, 2023, Journal of Rock Mechanics and Geotechnical Engineering

Frequent collaborators in their work include Chi Yao, Jianhua Yang, Shui-Hua Jiang, Jinsong Huang, and Faming Huang. These partnerships have contributed to the breadth of their published research.

Chuangbing Zhou's research has appeared in various publication venues, with multiple works featured in:

  • SSRN Electronic Journal
  • Journal of Rock Mechanics and Geotechnical Engineering
  • International Journal of Rock Mechanics and Mining Sciences
  • Bulletin of Engineering Geology and the Environment
  • Computers and Geotechnics

Best Publications

  • 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

  • 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

  • Efficient System Reliability Analysis of Slope Stability in Spatially Variable Soils Using Monte Carlo Simulation

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

  • A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

    Faming Huang;Jing Zhang;Chuangbing Zhou;Yuhao Wang

  • Stochastic response surface method for reliability analysis of rock slopes involving correlated non-normal variables

    Dianqing Li;Yifeng Chen;Wenbo Lu;Chuangbing Zhou

  • Evaluation of Forchheimer equation coefficients for non-Darcy flow in deformable rough-walled fractures

    Yi-Feng Chen;Jia-Qing Zhou;Shao-Hua Hu;Ran Hu

  • Influence of surface roughness on nonlinear flow behaviors in 3D self-affine rough fractures: Lattice Boltzmann simulations

    Min Wang;Min Wang;Yi Feng Chen;Guo Wei Ma;Jia Qing Zhou

  • Landslide displacement prediction based on multivariate chaotic model and extreme learning machine

    Faming Huang;Jinsong Huang;Jinsong Huang;Shuihua Jiang;Chuangbing Zhou;Chuangbing Zhou

  • 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

  • Nonlinear flow behavior at low Reynolds numbers through rough-walled fractures subjected to normal compressive loading

    Jia-Qing Zhou;Shao-Hua Hu;Shu Fang;Yi-Feng Chen

  • 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

  • Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model

    Faming Huang;Zhongshan Cao;Shui-Hua Jiang;Chuangbing Zhou

  • Impact of copula selection on geotechnical reliability under incomplete probability information

    Xiao-Song Tang;Dian-Qing Li;Guan Rong;Kok-Kwang Phoon

  • Dynamic response of rock mass induced by the transient release of in-situ stress

    Wenbo Lu;Jianhua Yang;Peng Yan;Ming Chen

  • Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors

    Unknown

  • Copula-based approaches for evaluating slope reliability under incomplete probability information

    Xiao-Song Tang;Dian-Qing Li;Chuang-Bing Zhou;Chuang-Bing Zhou;Kok-Kwang Phoon

  • Settlement analysis of the Shuibuya concrete-face rockfill dam

    Wei Zhou;Junjie Hua;Xiaolin Chang;Chuangbing Zhou

  • A water retention curve and unsaturated hydraulic conductivity model for deformable soils: consideration of the change in pore-size distribution

    R. Hu;Y.-F. Chen;H.-H. Liu;C.-B. Zhou

  • Modeling coupled THM processes of geological porous media with multiphase flow: Theory and validation against laboratory and field scale experiments

    Yifeng Chen;Chuangbing Zhou;Lanru Jing

  • Laboratory investigation of nonlinear flow characteristics in rough fractures during shear process

    Guan Rong;Jie Yang;Long Cheng;Chuangbing Zhou

  • Bivariate simulation using copula and its application to probabilistic pile settlement analysis

    Dian-Qing Li;Xiao-Song Tang;Kok-Kwang Phoon;Yi-Feng Chen

  • Experimental investigation and micromechanical analysis of damage and permeability variation in brittle rocks

    T. Jiang;J.F. Shao;W.Y. Xu;C.B. Zhou

Frequent Co-Authors

Qinghui Jiang
Qinghui Jiang Wuhan University
Yi-Feng Chen
Yi-Feng Chen Wuhan University
Dian-Qing Li
Dian-Qing Li Wuhan University
Wenbo Lu
Wenbo Lu Wuhan University
Li Min Zhang
Li Min Zhang Hong Kong University of Science and Technology
Jinsong Huang
Jinsong Huang University of Newcastle Australia
Kok-Kwang Phoon
Kok-Kwang Phoon Singapore University of Technology and Design
Zi-Jun Cao
Zi-Jun Cao Southwest Jiaotong University
M. Cai
M. Cai Laurentian University
Jian-Fu Shao
Jian-Fu Shao University of Lille

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