Open Access Helper

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:

The Prediction of Pervious Concrete Compressive Strength Based on a Convolutional Neural Network
Gaoming Yu, Senlai Zhu, Ziru Xiang
Buildings (2024) Vol. 14, Iss. 4, pp. 907-907
Open Access | Times Cited: 3

Showing 3 citing articles:

A machine learning approach to predicting pervious concrete properties: a review
Navaratnarajah Sathiparan, Pratheeba Jeyananthan, Daniel Niruban Subramaniam
Innovative Infrastructure Solutions (2025) Vol. 10, Iss. 2
Closed Access | Times Cited: 1
Prediction of characteristics of pervious concrete by machine learning technique using mix parameters and non-destructive test measurements
Navaratnarajah Sathiparan, Sathushka Heshan Bandara Wijekoon, Pratheeba Jeyananthan, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-50
Closed Access
Machine learning techniques to evaluate the impact of calcium oxide (CaO) and silicon dioxide (SiO2) in supplementary cement materials on the compressive strength of sustainable pervious concrete
Navaratnarajah Sathiparan, Pratheeba Jeyananthan, Daniel Niruban Subramaniam
Sustainable Chemistry and Pharmacy (2024) Vol. 42, pp. 101818-101818
Closed Access | Times Cited: 1
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