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:

New Model to Predict Bearing Capacity of Shallow Foundations Resting on Cohesionless Soil
Saif Alzabeebee, Younis M. Alshkane, Suraparb Keawsawasvong
Geotechnical and Geological Engineering (2023) Vol. 41, Iss. 6, pp. 3531-3547
Closed Access | Times Cited: 13

Showing 13 citing articles:

Innovative approaches for predicting seismic stability of circular and rectangular tunnels in cohesive-frictional soils using machine learning and finite element limit analysis
Duy Tan Tran, Divesh Ranjan Kumar, Suraparb Keawsawasvong, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 4, pp. 5831-5849
Closed Access | Times Cited: 10

Uncertainty-Aware Prediction of Bearing Capacity of Shallow Foundations Resting on Cohesionless Soils Using Bayesian Regression
Laith Sadik, Pijush Samui
Geotechnical and Geological Engineering (2024) Vol. 42, Iss. 5, pp. 3919-3937
Closed Access | Times Cited: 4

Appraisal of numerous machine learning techniques for the prediction of bearing capacity of strip footings subjected to inclined loading
Rashid Mustafa, Pijush Samui, Sunita Kumari, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 3, pp. 4067-4088
Closed Access | Times Cited: 4

Soft Computing-Based Models for Estimating the Ultimate Bearing Capacity of an Annular Footing on Hoek–Brown Material
Suraparb Keawsawasvong, Kongtawan Sangjinda, Wittaya Jitchaijaroen, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 5989-6006
Closed Access | Times Cited: 7

Prediction of pile-bearing capacity using Least Square Support Vector Regression: individual and hybrid models development
Xiaochuan Yang
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 3, pp. 2701-2715
Closed Access | Times Cited: 2

Comparing 1D Regression and Evolutionary Polynomial Analyses for Predicting Brazilian Tensile Strength of Limestone in Dry and Saturated Conditions
Saif Alzabeebee, Younis M. Alshkane, Diyari Abdalrahman Mohammed, et al.
Geotechnical and Geological Engineering (2023) Vol. 42, Iss. 4, pp. 2495-2515
Closed Access | Times Cited: 5

Integrated machine learning for modeling bearing capacity of shallow foundations
Yuzhen Liu, Yan Liang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Ensemble Soft Computing Models for Prediction of Deflection of Steel–Concrete Composite Bridges
Manh Van Le, Dam Duc Nguyen, Hoang Ha, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 5505-5515
Closed Access | Times Cited: 3

Quantification of Compaction Properties of Lateritic Soils: Usage of Hybridized ANFIS Model
Jin Zhang
Indian geotechnical journal (2023) Vol. 54, Iss. 4, pp. 1328-1340
Closed Access | Times Cited: 2

Artificial Intelligence for Bearing Capacity Evaluation of Shallow Foundation: an Overview
Mohammad Khajehzadeh, Suraparb Keawsawasvong
Geotechnical and Geological Engineering (2024) Vol. 42, Iss. 7, pp. 5401-5424
Closed Access

Data-driven study on shear bearing capacity of segmental concrete joints
Liang Chen, Kefa Zhang, Jing Yan
Structures (2024) Vol. 68, pp. 107145-107145
Closed Access

Harnessing Metaheuristics and Probabilistic Machine Learning for Uncertainty-Aware Bearing Capacity Estimation of Shallow Foundations
Laith Sadik, Pijush Samui, Suraparb Keawsawasvong, et al.
Transportation Infrastructure Geotechnology (2024) Vol. 12, Iss. 1
Closed Access

Estimation of pile-bearing capacity applying hybrid auto-regressed models based on regression decision tree
Yunpeng Li, Dong Shenghuan, Jian Yingbin, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 3, pp. 2225-2239
Closed Access | Times Cited: 1

Page 1

Scroll to top