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:
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
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
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
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
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
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
Predicting the Strength Performance of Hydrated-Lime Activated Rice Husk Ash-Treated Soil Using Two Grey-Box Machine Learning Models
Abolfazl Baghbani, Amin Soltani, Katayoon Kiany, et al.
Geotechnics (2023) Vol. 3, Iss. 3, pp. 894-920
Open Access | Times Cited: 5
Abolfazl Baghbani, Amin Soltani, Katayoon Kiany, et al.
Geotechnics (2023) Vol. 3, Iss. 3, pp. 894-920
Open Access | Times Cited: 5
On the Prediction of the California Bearing Ratio (CBR) from the Dynamic Cone Penetrometer (DCP) for Subgrade Soil
Jirawat Chokkerd, Artit Udomchai, Sivarit Sultornsanee, et al.
(2024)
Open Access | Times Cited: 1
Jirawat Chokkerd, Artit Udomchai, Sivarit Sultornsanee, et al.
(2024)
Open Access | Times Cited: 1
Recalibrated Correlations between Dynamic Cone Penetrometer (DCP) Data and California Bearing Ratio (CBR) in Subgrade Soil
Jirawat Chokkerd, Artit Udomchai, Sivarit Sultornsanee, et al.
Eng—Advances in Engineering (2024) Vol. 5, Iss. 3, pp. 1173-1182
Open Access | Times Cited: 1
Jirawat Chokkerd, Artit Udomchai, Sivarit Sultornsanee, et al.
Eng—Advances in Engineering (2024) Vol. 5, Iss. 3, pp. 1173-1182
Open Access | Times Cited: 1
Enhancing Ultimate Bearing Capacity Prediction of Cohesionless Soils Beneath Shallow Foundations with Grey Box and Hybrid AI Models
Katayoon Kiany, Abolfazl Baghbani, Hossam Abuel-Naga, et al.
Algorithms (2023) Vol. 16, Iss. 10, pp. 456-456
Open Access | Times Cited: 3
Katayoon Kiany, Abolfazl Baghbani, Hossam Abuel-Naga, et al.
Algorithms (2023) Vol. 16, Iss. 10, pp. 456-456
Open Access | Times Cited: 3
