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:

Predicting the fire-induced structural performance of steel tube columns filled with SFRC-enhanced concrete: using artificial neural networks approach
Christo George, Edwin Zumba, María Alexandra Procel Silva, et al.
Frontiers in Built Environment (2024) Vol. 10
Open Access | Times Cited: 8

Showing 8 citing articles:

Development of a prediction tool for the compressive strength of ternary blended ultra-high performance concrete using machine learning techniques
Rakesh Kumar, Shubhum Prakash, Baboo Rai, et al.
Journal of Structural Integrity and Maintenance (2024) Vol. 9, Iss. 3
Closed Access | Times Cited: 11

Comparison of experimental and analytical studies in light gauge steel sections on CFST using SFRC in beams subjected to high temperatures
Christo George, Rakesh Kumar, H. K. Ramaraju
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 7

Estimation of the Compressive Strength of Ultrahigh Performance Concrete using Machine Learning Models
Rakesh Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, et al.
Intelligent Systems with Applications (2024) Vol. 25, pp. 200471-200471
Open Access | Times Cited: 5

Comparative analysis of sloshing effects on elevated water tanks’ dynamic response using ANN and MARS
Tahera, Neethu Urs, Shashi Raj K, et al.
Discover Materials (2025) Vol. 5, Iss. 1
Open Access

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

Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability
S. Sathvik, Rakesh Kumar, Archudha Arjunasamy, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Investigating the Impact of Biaxial Geogrid Reinforcement on Subgrade Soil Strength Enhancement: A Machine Learning Analysis Using the MARS Model
M. Harshitha, Rakesh Kumar, J. C. Vidyashree, et al.
Indian geotechnical journal (2025)
Closed Access

Enhancing urban sustainability: a study on lightweight and pervious concrete incorporating recycled plastic
S. Sathvik, Pathapati Rohithkumar, Pshtiwan Shakor, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 3

Optimizing beam performance: ANSYS simulation and ANN-based analysis of CFRP strengthening with various opening shapes
Tahera, Kshitij S. Patil, Neethu Urs
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 1

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