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:
Machine learning-based prediction of resilient modulus for blends of tire-derived aggregates and demolition wastes
Behnam Ghorbani, Ehsan Yaghoubi, P.L.P. Wasantha, et al.
Road Materials and Pavement Design (2023) Vol. 25, Iss. 4, pp. 694-715
Closed Access | Times Cited: 5
Behnam Ghorbani, Ehsan Yaghoubi, P.L.P. Wasantha, et al.
Road Materials and Pavement Design (2023) Vol. 25, Iss. 4, pp. 694-715
Closed Access | Times Cited: 5
Showing 5 citing articles:
Novel base predictive model of resilient modulus of compacted subgrade soils by using interpretable approaches with graphical user interface
Loai Alkhattabi, Kiran Arif
Materials Today Communications (2024) Vol. 40, pp. 109764-109764
Closed Access | Times Cited: 6
Loai Alkhattabi, Kiran Arif
Materials Today Communications (2024) Vol. 40, pp. 109764-109764
Closed Access | Times Cited: 6
Machine learning approach for predicting the compressive strength of biomedical waste ash in concrete: a sustainability approach
Rakesh Kumar, Shishir Karthik, Abhishek Kumar, et al.
Discover Materials (2025) Vol. 5, Iss. 1
Open Access
Rakesh Kumar, Shishir Karthik, Abhishek Kumar, et al.
Discover Materials (2025) Vol. 5, Iss. 1
Open Access
Utilizing construction and demolition waste in soft soil stabilization: A prediction model for enhanced strength and stiffness
Ecem Nur Barisoglu, Taher Ghalandari, D. Snoeck, et al.
Transportation Geotechnics (2025) Vol. 51, pp. 101530-101530
Closed Access
Ecem Nur Barisoglu, Taher Ghalandari, D. Snoeck, et al.
Transportation Geotechnics (2025) Vol. 51, pp. 101530-101530
Closed Access
Machine Learning Models for the Prediction of the Compressive Strength of Self-Compacting Concrete Incorporating Incinerated Bio-Medical Waste Ash
Nahushananda Chakravarthy, Karthik M Seenappa, Sujay Raghavendra Naganna, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13621-13621
Open Access | Times Cited: 5
Nahushananda Chakravarthy, Karthik M Seenappa, Sujay Raghavendra Naganna, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13621-13621
Open Access | Times Cited: 5
Discussion of ‘Strength Evaluation of Expansive Soil Stabilized with Lead–Zinc Mine Tailings and Cement: An Artificial Intelligence Approach’ [DOI: 10.1007/s42947-024–00450-y]
Amin Soltani, Mahdieh Azimi
International Journal of Pavement Research and Technology (2024)
Open Access
Amin Soltani, Mahdieh Azimi
International Journal of Pavement Research and Technology (2024)
Open Access
