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:
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
A. Baghbani
Materials research proceedings (2023) Vol. 31, pp. 646-655
Open Access | Times Cited: 11
Showing 11 citing articles:
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
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
Abolfazl Baghbani, Susanga Costa, Roohollah Shirani Faradonbeh, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4363-4363
Open Access | Times Cited: 13
Evaluating the Influence of Sand Particle Morphology on Shear Strength: A Comparison of Experimental and Machine Learning Approaches
Firas Daghistani, Hossam Abuel-Naga
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8160-8160
Open Access | Times Cited: 13
Firas Daghistani, Hossam Abuel-Naga
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8160-8160
Open Access | Times Cited: 13
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: 12
Abolfazl Baghbani, Susanga Costa, Yi Lu, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 7
Closed Access | Times Cited: 12
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
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
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
Abolfazl Baghbani, Minh Duc Nguyen, Ali Alnedawi, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4934-4934
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
Abolfazl Baghbani, Susanga Costa, Roohollah Shirani Faradonbeh, et al.
(2023)
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
A. Baghbani
Materials research proceedings (2023) Vol. 31, pp. 734-744
Open Access | Times Cited: 9
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
Yi Lu, Changhao Xu, Abolfazl Baghbani
Construction and Building Materials (2023) Vol. 400, pp. 132879-132879
Open Access | Times Cited: 8
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
