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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:

Estimation of the shear strength of UHPC beams via interpretable deep learning models: Comparison of different optimization techniques
Faruk Ergen, Metin Katlav
Materials Today Communications (2024) Vol. 40, pp. 109394-109394
Closed Access | Times Cited: 8

Showing 8 citing articles:

AI-driven design for the compressive strength of ultra-high performance geopolymer concrete (UHPGC): From explainable ensemble models to the graphical user interface
Metin Katlav, Faruk Ergen, İzzeddin Dönmez
Materials Today Communications (2024) Vol. 40, pp. 109915-109915
Closed Access | Times Cited: 12
Explainable ensemble algorithms with grey wolf optimization for estimation of the tensile performance of polyethylene fiber-reinforced engineered cementitious composite
Mehmet Emin TABAR, Metin Katlav, Kâzım Türk
Materials Today Communications (2025), pp. 112028-112028
Closed Access | Times Cited: 1
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 8
Electrical resistivity of eco-friendly hybrid fiber-reinforced SCC: Effect of ground granulated blast furnace slag and copper slag content as well as hooked-end fiber length
Metin Katlav, İzzeddin Dönmez, Kâzım Türk
Construction and Building Materials (2024) Vol. 438, pp. 137235-137235
Closed Access | Times Cited: 4
An Experimental Investigation to Predict the Compressive Strength of Lightweight Ceramsite Aggregate UHPC Using Boosting and Bagging Techniques
Md. Sohel Rana, Fangyuan Li
Materials Today Communications (2024), pp. 110759-110759
Closed Access | Times Cited: 4
AI-guided design framework for bond behavior of steel-concrete in steel reinforced concrete composites: From dataset cleaning to feature engineering
Metin Katlav, Mehmet Emin Tabar, Kâzım Türk
Materials Today Communications (2024) Vol. 42, pp. 111286-111286
Closed Access | Times Cited: 4
Integrated deep learning and Bayesian optimization approach for enhanced prediction of high-performance concrete strength
Rupesh Kumar Tipu, Archna Goyal, Digvijay Singh, et al.
Asian Journal of Civil Engineering (2025)
Closed Access
A robust approach for bond strength prediction of mortar using machine learning with SHAP interpretability
Kai Wu, Sihao Zhou, Qiang Li, et al.
Materials Today Communications (2024), pp. 110667-110667
Closed Access | Times Cited: 2
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