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OpenAlex Citation Counts

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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

Showing 1-25 of 32 citing articles:

Prediction of dynamic shear modulus of saturated coral sand based on explainable artificial intelligence
Bin Ruan, Guo Yang, Zhenglong Zhou, et al.
Construction and Building Materials (2025) Vol. 461, pp. 139878-139878
Closed Access | Times Cited: 2
A Scientometrics Review of Soil Properties Prediction Using Soft Computing Approaches
Jitendra Khatti, Kamaldeep Singh Grover
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 3, pp. 1519-1553
Closed Access | Times Cited: 22
Ground-motion simulations using two-dimensional convolution condition adversarial neural network(2D-cGAN)
Yanwen Huang, Cheng Yang, Xiaodan Sun, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 178, pp. 108444-108444
Closed Access | Times Cited: 9
Investigation on the suitability of aluminium-based water treatment sludge as a sustainable soil replacement for road construction
Minh Duc Nguyen, Abolfazl Baghbani, Ali Alnedawi, et al.
Transportation Engineering (2023) Vol. 12, pp. 100175-100175
Open Access | Times Cited: 20
Enhanced earth pressure determination with negative wall-soil friction using soft computing
Tan Nguyen, Jim Shiau, Duy-Khuong Ly
Computers and Geotechnics (2024) Vol. 167, pp. 106086-106086
Closed Access | Times Cited: 7
State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering
Hongchen Liu, Huaizhi Su, Lizhi Sun, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 6
Ultrasonic Characterization of Compacted Salty Kaolin–Sand Mixtures Under Nearly Zero Vertical Stress Using Experimental Study and Machine Learning
Abolfazl Baghbani, Hossam Abuel-Naga, Roohollah Shirani Faradonbeh, et al.
Geotechnical and Geological Engineering (2023) Vol. 41, Iss. 5, pp. 2987-3012
Closed Access | Times Cited: 15
Modeling the Effects of Particle Shape on Damping Ratio of Dry Sand by Simple Shear Testing and Artificial Intelligence
Abolfazl Baghbani, Susanga Costa, Roohollah Shirani Faradonbeh, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4363-4363
Open Access | Times Cited: 13
Prediction and variable importance analysis for small-strain stiffness of soil based on ensemble learning with Bayesian optimization
Yunhan Huang, Yaning Wang, Zhongze Xu, et al.
Computers and Geotechnics (2023) Vol. 162, pp. 105688-105688
Closed Access | Times Cited: 13
Enhancing earth dam slope stability prediction with integrated AI and statistical models
Abolfazl Baghbani, Roohollah Shirani Faradonbeh, Yi Lu, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111999-111999
Closed Access | Times Cited: 5
A Review of Parameters and Methods for Seismic Site Response
A. S. M. Fahad Hossain, Ali Saeidi, Mohammad Salsabili, et al.
Geosciences (2025) Vol. 15, Iss. 4, pp. 128-128
Open Access
Internal Friction Angle of Cohesionless Binary Mixture Sand–Granular Rubber Using Experimental Study and Machine Learning
Firas Daghistani, Abolfazl Baghbani, Hossam Abuel Naga, et al.
Geosciences (2023) Vol. 13, Iss. 7, pp. 197-197
Open Access | Times Cited: 12
Improving Soil Stability with Alum Sludge: An AI-Enabled Approach for Accurate Prediction of California Bearing Ratio
Abolfazl Baghbani, Minh Duc Nguyen, Ali Alnedawi, et al.
(2023)
Open Access | Times Cited: 11
Improving Soil Stability with Alum Sludge: An AI-Enabled Approach for Accurate Prediction of California Bearing Ratio
Abolfazl Baghbani, Minh Duc Nguyen, Ali Alnedawi, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4934-4934
Open Access | Times Cited: 11
Effects of particle shape on shear modulus of sand using dynamic simple shear testing
Abolfazl Baghbani, Susanga Costa, Yi Lu, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 7
Closed Access | Times Cited: 11
Predicting the strength of recycled glass powder-based geopolymers for improving mechanical behavior of clay soils using artificial intelligence
A. Baghbani
Materials research proceedings (2023) Vol. 31, pp. 646-655
Open Access | Times Cited: 11
Experimental-AI Investigation of the Effect of Particle Shape on the Damping Ratio of Dry Sand under Simple Shear Test Loading
Abolfazl Baghbani, Susanga Costa, Roohollah Shirani Faradonbeh, et al.
(2023)
Open Access | Times Cited: 9
Artificial Neural Network model to predict the dynamic properties of sand-polyurethane composite materials for GSI applications
Michele Placido Antonio Gatto, Lorella Montrasio
Soil Dynamics and Earthquake Engineering (2023) Vol. 172, pp. 108032-108032
Open Access | Times Cited: 9
Artificial intelligence-based prediction of geotechnical impacts of polyethylene bottles and polypropylene on clayey soil
A. Baghbani
Materials research proceedings (2023) Vol. 31, pp. 734-744
Open Access | Times Cited: 9
Shear modulus prediction of landfill components using novel machine learners hybridized with forensic-based investigation optimization
Hossein Moradi Moghaddam, Mohsen Keramati, Ahmad Fahimifar, et al.
Construction and Building Materials (2023) Vol. 411, pp. 134443-134443
Closed Access | Times Cited: 9
Evaluation of empirical and machine learning models for predicting shear wave velocity of granular soils based on laboratory element tests
Zohreh Mousavi, Meysam Bayat, Jun Yang, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 183, pp. 108805-108805
Closed Access | Times Cited: 3
Initial state of excavated soil and rock (ESR) to influence the stabilisation with cement
Yi Lu, Changhao Xu, Abolfazl Baghbani
Construction and Building Materials (2023) Vol. 400, pp. 132879-132879
Open Access | Times Cited: 8
Machine Learning Models for Predicting Shear Wave Velocity of Soils
Zohreh Mousavi, Meysam Bayat, Wei-Qiang Feng
IOP Conference Series Earth and Environmental Science (2024) Vol. 1334, Iss. 1, pp. 012039-012039
Open Access | Times Cited: 2
Predicting the shear modulus and damping ratio of soils using machine learning models
Meysam Bayat, Z. Mousavi, Feng Wu
IOP Conference Series Earth and Environmental Science (2024) Vol. 1334, Iss. 1, pp. 012040-012040
Open Access | Times Cited: 2
Application of hybridized ensemble learning and equilibrium optimization in estimating damping ratios of municipal solid waste
Hossein Moradi Moghaddam, Mohsen Keramati, Alireza Bahrami, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
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