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:

Sustainable innovation in self-compacted concrete: Integrating by-products and waste rubber for green construction practices
Yarivan J. Zrar, Payam Ismael Abdulrahman, Aryan Far H. Sherwani, et al.
Structures (2024) Vol. 62, pp. 106234-106234
Closed Access | Times Cited: 8

Showing 8 citing articles:

Experimental study on freeze-thaw failure of concrete incorporating waste tire crumb rubber and analytical evaluation of frost resistance
Xiaoyan Han, Nan Ding, Aijiu Chen, et al.
Construction and Building Materials (2024) Vol. 439, pp. 137356-137356
Closed Access | Times Cited: 8

A comprehensive review of drop weight impact testing: Evaluating the Pros and Cons in fiber-reinforced concrete performance assessment
G. Murali, Leong Sing Wong, Sallal R. Abid
Journal of Building Engineering (2024) Vol. 94, pp. 109934-109934
Closed Access | Times Cited: 6

Compressive strength modeling of the eco-friendly self-compacting rubberized concrete with fly ash and ground granulated blast furnace slag additives
Aryan Far H. Sherwani, Payam Ismael Abdulrahman, Khaleel H. Younis, et al.
Innovative Infrastructure Solutions (2025) Vol. 10, Iss. 2
Closed Access

Advanced and hybrid machine learning techniques for predicting compressive strength in palm oil fuel ash-modified concrete with SHAP analysis
Tariq Ali, Kennedy C. Onyelowe, Muhammad Sarmad Mahmood, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Machine learning models for estimating the compressive strength of rubberized concrete subjected to elevated temperature: Optimization and hyper-tuning
Turki S. Alahmari, Irfan Ullah, Furqan Farooq
Sustainable Chemistry and Pharmacy (2024) Vol. 42, pp. 101763-101763
Closed Access | Times Cited: 4

Analyzing the efficacy of waste marble and glass powder for the compressive strength of self-compacting concrete using machine learning strategies
Qing Guan, Zhong Ling Tong, Muhammad Nasir Amin, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 3

Sustainability-driven model for predicting compressive strength in concrete structures
Fayez Moutassem, Mohamad Kharseh
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access

Prediction of mechanical properties of bricks manufactured with recycled soil using artificial neural network
R. B. Patel, Neetu Yadav
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 8
Closed Access

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