World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
7266
World Ranking
5225
National Ranking
1015

Zi-Jun Cao 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 Zi-Jun Cao 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: 123 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Zi-Jun Cao 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 Zi-Jun Cao 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: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Zi-Jun Cao is affiliated with Southwest Jiaotong University in China and has contributed extensively to the field of engineering, particularly within civil and structural engineering. Their research spans several subfields, including safety, risk, reliability and quality; management, monitoring, policy and law; environmental engineering; and mechanical engineering.

Their published work focuses primarily on geotechnical engineering and analysis, with significant research interests in landslides and related hazards, geotechnical engineering and soil mechanics, infrastructure maintenance and monitoring, probabilistic and robust engineering design, geotechnical engineering and underground structures, as well as soil geostatistics and mapping.

Zi-Jun Cao has frequently published in academic venues such as:

  • Canadian Geotechnical Journal
  • Computers and Geotechnics
  • Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
  • Engineering Geology
  • 8th International Symposium for Geotechnical Safety & Risk (ISGSR 2022)

Their recent papers include:

  • 3D DEM insights into the effect of particle overall regularity on macro and micro mechanical behaviours of dense sands, 2021, Computers and Geotechnics
  • Probabilistic outlier detection for sparse multivariate geotechnical site investigation data using Bayesian learning, 2020, Geoscience Frontiers
  • Probabilistic estimation of variogram parameters of geotechnical properties with a trend based on Bayesian inference using Markov chain Monte Carlo simulation, 2020, Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
  • Quantitative risk assessment of landslides with direct simulation of pre-failure to post-failure behaviors, 2022, Acta Geotechnica
  • Smart sampling strategy for investigating spatial distribution of subsurface shallow gas pressure in Hangzhou Bay area of China, 2020, Engineering Geology

Frequent co-authors in Zi-Jun Cao's work are:

  • Dianqing Li
  • Hua-Ming Tian
  • Kok-Kwang Phoon
  • Wenqi Du
  • Lulu Zhang

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

  • 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

  • Response surface methods for slope reliability analysis: Review and comparison

    Dian-Qing Li;Dong Zheng;Zi-Jun Cao;Xiao-Song Tang

  • Bayesian perspective on geotechnical variability and site characterization

    Yu Wang;Zijun Cao;Dianqing Li

  • 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

  • Bayesian Approach for Probabilistic Site Characterization Using Cone Penetration Tests

    Zijun Cao;Yu Wang

  • Efficient Monte Carlo Simulation of parameter sensitivity in probabilistic slope stability analysis

    Yu Wang;Zijun Cao;Siu Kui Au

  • Probabilistic characterization of Young's modulus of soil using equivalent samples

    Yu Wang;Zijun Cao

  • Quantification of prior knowledge in geotechnical site characterization

    Zijun Cao;Yu Wang;Dianqing Li

  • Bayesian model comparison and selection of spatial correlation functions for soil parameters

    Zijun Cao;Yu Wang

  • Bayesian approach for probabilistic characterization of sand friction angles

    Yu Wang;Siu Kui Au;Zijun Cao

  • Geotechnical uncertainty, modeling, and decision making

    Unknown

  • Bayesian Model Comparison and Characterization of Undrained Shear Strength

    Zijun Cao;Yu Wang

  • Probabilistic identification of underground soil stratification using cone penetration tests

    Unknown

  • Three-dimensional slope reliability and risk assessment using auxiliary random finite element method

    Te Xiao;Dian-Qing Li;Zi-Jun Cao;Siu-Kui Au

  • Simulation of geologic uncertainty using coupled Markov chain

    Xiao Hui Qi;Dian Qing Li;Kok Kwang Phoon;Zi Jun Cao

  • Risk de-aggregation and system reliability analysis of slope stability using representative slip surfaces

    Liang Li;Yu Wang;Zijun Cao;Xuesong Chu

  • Evaluating slope stability uncertainty using coupled Markov chain

    Dian Qing Li;Xiao Hui Qi;Zi Jun Cao;Xiao Song Tang

  • Site-specific probability distribution of geotechnical properties

    Yu Wang;Tengyuan Zhao;Zijun Cao

  • Efficient and consistent reliability analysis of soil slope stability using both limit equilibrium analysis and finite element analysis

    Dian-Qing Li;Te Xiao;Zi-Jun Cao;Kok-Kwang Phoon

  • Implementing advanced Monte Carlo simulation under spreadsheet environment

    Siu Kui Au;Zijun Cao;Yu Wang

  • Expanded reliability-based design of piles in spatially variable soil using efficient Monte Carlo simulations

    Yu Wang;Zijun Cao

Frequent Co-Authors

Dian-Qing Li
Dian-Qing Li Wuhan University
Kok-Kwang Phoon
Kok-Kwang Phoon Singapore University of Technology and Design
Siu-Kui Au
Siu-Kui Au Nanyang Technological University
Chuangbing Zhou
Chuangbing Zhou Nanchang University
Li Min Zhang
Li Min Zhang Hong Kong University of Science and Technology
Yi Hong
Yi Hong Zhejiang University
Peng Cui
Peng Cui Chinese Academy of Sciences
Jian Zhao
Jian Zhao Monash University
Charles Wang Wai Ng
Charles Wang Wai Ng Hong Kong University of Science and Technology
Kenichi Soga
Kenichi Soga University of California, Berkeley

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