Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Bayesian identification of soil stratigraphy based on soil behaviour type index
Zi-Jun Cao, Shuo Zheng, Dianqing Li, et al.
Canadian Geotechnical Journal (2018) Vol. 56, Iss. 4, pp. 570-586
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Probabilistic stability analysis of earth dam slope under transient seepage using multivariate adaptive regression splines
Lin Wang, Chongzhi Wu, Xin Gu, et al.
Bulletin of Engineering Geology and the Environment (2020) Vol. 79, Iss. 6, pp. 2763-2775
Closed Access | Times Cited: 192
Challenges in data-driven site characterization
Kok‐Kwang Phoon, Jianye Ching, Takayuki Shuku
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2021) Vol. 16, Iss. 1, pp. 114-126
Closed Access | Times Cited: 141
Geotechnical uncertainty, modeling, and decision making
Kok‐Kwang Phoon, Zi-Jun Cao, Jian Ji, et al.
SOILS AND FOUNDATIONS (2022) Vol. 62, Iss. 5, pp. 101189-101189
Open Access | Times Cited: 97
Time series prediction of reservoir bank landslide failure probability considering the spatial variability of soil properties
Luqi Wang, Lin Wang, Wengang Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 10, pp. 3951-3960
Open Access | Times Cited: 16
Statistical interpretation of spatially varying 2D geo-data from sparse measurements using Bayesian compressive sampling
Tengyuan Zhao, Yue Hu, Yu Wang
Engineering Geology (2018) Vol. 246, pp. 162-175
Closed Access | Times Cited: 90
The story of statistics in geotechnical engineering
Kok‐Kwang Phoon
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2019) Vol. 14, Iss. 1, pp. 3-25
Closed Access | Times Cited: 87
Tunneling and deep excavations in spatially variable soil and rock masses: A short review
Wengang Zhang, Liang Han, Xin Gu, et al.
Underground Space (2020) Vol. 7, Iss. 3, pp. 380-407
Open Access | Times Cited: 85
Stability analysis of underground mine hard rock pillars via combination of finite difference methods, neural networks, and Monte Carlo simulation techniques
Chuanqi Li, Jian Zhou, Danial Jahed Armaghani, et al.
Underground Space (2020) Vol. 6, Iss. 4, pp. 379-395
Open Access | Times Cited: 85
CPT-based fully probabilistic seismic liquefaction potential assessment to reduce uncertainty: Integrating XGBoost algorithm with Bayesian theorem
Zening Zhao, Wei Duan, Guojun Cai, et al.
Computers and Geotechnics (2022) Vol. 149, pp. 104868-104868
Closed Access | Times Cited: 42
Data-driven and physics-informed Bayesian learning of spatiotemporally varying consolidation settlement from sparse site investigation and settlement monitoring data
Hua-Ming Tian, Yu Wang
Computers and Geotechnics (2023) Vol. 157, pp. 105328-105328
Closed Access | Times Cited: 29
What Geotechnical Engineers Want to Know about Reliability
Kok‐Kwang Phoon
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2023) Vol. 9, Iss. 2
Closed Access | Times Cited: 24
Future of Machine Learning in Geotechnics (FOMLIG), 5–6 Dec 2023, Okayama, Japan
Kok‐Kwang Phoon, Takayuki Shuku
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024) Vol. 18, Iss. 1, pp. 288-303
Closed Access | Times Cited: 9
Bayesian network models for probabilistic evaluation of earthquake-induced liquefaction based on CPT and Vs databases
Jilei Hu, Huabei Liu
Engineering Geology (2019) Vol. 254, pp. 76-88
Closed Access | Times Cited: 70
Reliability analysis of unsaturated slope stability considering SWCC model selection and parameter uncertainties
Dian-Qing Li, Lin Wang, Zi-Jun Cao, et al.
Engineering Geology (2019) Vol. 260, pp. 105207-105207
Closed Access | Times Cited: 70
Cone penetration test (CPT)-based subsurface soil classification and zonation in two-dimensional vertical cross section using Bayesian compressive sampling
Yu Wang, Yue Hu, Tengyuan Zhao
Canadian Geotechnical Journal (2019) Vol. 57, Iss. 7, pp. 947-958
Closed Access | Times Cited: 67
Interpolation and stratification of multilayer soil property profile from sparse measurements using machine learning methods
Tengyuan Zhao, Yu Wang
Engineering Geology (2019) Vol. 265, pp. 105430-105430
Closed Access | Times Cited: 63
Response surface guided adaptive slope reliability analysis in spatially varying soils
Zheng Zhou, Dianqing Li, Te Xiao, et al.
Computers and Geotechnics (2021) Vol. 132, pp. 103966-103966
Closed Access | Times Cited: 46
Bayesian updating of model parameters using adaptive Gaussian process regression and particle filter
Ikumasa Yoshida, Tomoka Nakamura, Siu‐Kui Au
Structural Safety (2023) Vol. 102, pp. 102328-102328
Closed Access | Times Cited: 19
Failure Mechanism and Bearing Capacity of Rigid Footings Placed on Top of Cohesive Soil Slopes in Spatially Random Soil
Haizuo Zhou, Yipeng Shi, Xiaoxuan Yu, et al.
International Journal of Geomechanics (2023) Vol. 23, Iss. 8
Closed Access | Times Cited: 19
Assessment of soil classification based on cone penetration test data for Kaifeng area using optimized support vector machine
Hanliang Bian, Ziqi Sun, J. M. Bian, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Fast non-parametric simulation of 2D multi-layer cone penetration test (CPT) data without pre-stratification using Markov Chain Monte Carlo simulation
Tengyuan Zhao, Ling Xu, Yu Wang
Engineering Geology (2020) Vol. 273, pp. 105670-105670
Closed Access | Times Cited: 44
Probabilistic soil classification and stratification in a vertical cross-section from limited cone penetration tests using random field and Monte Carlo simulation
Yue Hu, Yu Wang
Computers and Geotechnics (2020) Vol. 124, pp. 103634-103634
Closed Access | Times Cited: 44
Bayesian inference of spatially varying parameters in soil constitutive models by using deformation observation data
Yuanqin Tao, Honglei Sun, Yuanqiang Cai
International Journal for Numerical and Analytical Methods in Geomechanics (2021) Vol. 45, Iss. 11, pp. 1647-1663
Closed Access | Times Cited: 38
Time capsule for geotechnical risk and reliability
Marcin Chwała, Kok‐Kwang Phoon, Marco Uzielli, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2022) Vol. 17, Iss. 3, pp. 439-466
Closed Access | Times Cited: 27
Novel approach for soil classification using machine learning methods
Manh Duc Nguyen, Romulus Costache, An Ho Sy, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 11
Closed Access | Times Cited: 25
Page 1 - Next Page

Scroll to top