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:
Prediction of secant shear modulus and damping ratio for an extremely dilative silica sand based on machine learning techniques
Abolfazl Baghbani, Tanveer Choudhury, Pijush Samui, et al.
Soil Dynamics and Earthquake Engineering (2022) Vol. 165, pp. 107708-107708
Closed Access | Times Cited: 32
Abolfazl Baghbani, Tanveer Choudhury, Pijush Samui, et al.
Soil Dynamics and Earthquake Engineering (2022) Vol. 165, pp. 107708-107708
Closed Access | Times Cited: 32
Showing 26-50 of 32 citing articles:
Assessment of leachate-contaminated clays using experimental and artificial methods
Hossein Moradi Moghaddam, Ahmad Fahimifar, Taghi Ebadi, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 2
Hossein Moradi Moghaddam, Ahmad Fahimifar, Taghi Ebadi, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 2
Accurately Predicting Quartz Sand Thermal Conductivity Using Machine Learning and Grey-Box AI Models
Abolfazl Baghbani, Hossam Abuel-Naga, Danial Shirkavand
Geotechnics (2023) Vol. 3, Iss. 3, pp. 638-660
Open Access | Times Cited: 6
Abolfazl Baghbani, Hossam Abuel-Naga, Danial Shirkavand
Geotechnics (2023) Vol. 3, Iss. 3, pp. 638-660
Open Access | Times Cited: 6
On the measurement of the nonlinear dynamics of sandwich sector plate surrounded by the auxetic concrete foundation: Introducing a machine learning algorithm for nonlinear problems
Chunhua Li, G Yan, Ahmed Fouly, et al.
Measurement (2024), pp. 115727-115727
Closed Access | Times Cited: 1
Chunhua Li, G Yan, Ahmed Fouly, et al.
Measurement (2024), pp. 115727-115727
Closed Access | Times Cited: 1
AI-driven predictions of the dynamic properties of fine-grained soils in South Italy based on laboratory testing
Michele Placido Antonio Gatto, Francesco Castelli, Valentina Lentini, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 187, pp. 109009-109009
Open Access | Times Cited: 1
Michele Placido Antonio Gatto, Francesco Castelli, Valentina Lentini, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 187, pp. 109009-109009
Open Access | Times Cited: 1
Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load
Ammu Boban, Preeti Pateriya, Yakshansh Kumar, et al.
AI in Civil Engineering (2024) Vol. 3, Iss. 1
Open Access
Ammu Boban, Preeti Pateriya, Yakshansh Kumar, et al.
AI in Civil Engineering (2024) Vol. 3, Iss. 1
Open Access
Prediction of normalized shear modulus and damping ratio for granular soils over a wide strain range using deep neural network modelling
Wei‐Qiang Feng, Meysam Bayat, Zohreh Mousavi, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-30
Open Access
Wei‐Qiang Feng, Meysam Bayat, Zohreh Mousavi, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-30
Open Access
Prediction of Normalized Shear Modulus and Damping Ratio for Granular Soils Over a Wide Strain Range Using Deep Neural Network Modelling
Meysam Bayat, Zohreh Mousavi, Aiguo Li, et al.
Research Square (Research Square) (2023)
Open Access
Meysam Bayat, Zohreh Mousavi, Aiguo Li, et al.
Research Square (Research Square) (2023)
Open Access
