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 and deep learning-based prediction of flexural moment capacity of ultra-high performance concrete beams with/out steel fiber
Faruk Ergen, Metin Katlav
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 6, pp. 4541-4562
Closed Access | Times Cited: 7
Faruk Ergen, Metin Katlav
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 6, pp. 4541-4562
Closed Access | Times Cited: 7
Showing 7 citing articles:
Mechanical Performance Enhancement of UHPC Via ITZ Improvement Using Graphene Oxide-Coated Steel Fibers
Yuan Gao, Zhangjianing Cheng, Jiajian Yu, et al.
Cement and Concrete Composites (2025), pp. 105931-105931
Closed Access | Times Cited: 1
Yuan Gao, Zhangjianing Cheng, Jiajian Yu, et al.
Cement and Concrete Composites (2025), pp. 105931-105931
Closed Access | Times Cited: 1
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: 8
Metin Katlav, Faruk Ergen, İzzeddin Dönmez
Materials Today Communications (2024) Vol. 40, pp. 109915-109915
Closed Access | Times Cited: 8
Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization
Vikrant S. Vairagade, Boskey V. Bahoria, Haytham F. Isleem, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110470-110470
Closed Access
Vikrant S. Vairagade, Boskey V. Bahoria, Haytham F. Isleem, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110470-110470
Closed Access
Applications of computational intelligence for predictive modeling of properties of blended cement sustainable concrete incorporating various industrial byproducts towards sustainable construction
N P Mungle, Dnyaneshwar M. Mate, Sham H. Mankar, et al.
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 4
N P Mungle, Dnyaneshwar M. Mate, Sham H. Mankar, et al.
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 4
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: 3
Metin Katlav, İzzeddin Dönmez, Kâzım Türk
Construction and Building Materials (2024) Vol. 438, pp. 137235-137235
Closed Access | Times Cited: 3
Machine learning based prediction of compressive and flexural strength of recycled plastic waste aggregate concrete
Yılmaz Yılmaz, Safa Nayır
Structures (2024) Vol. 69, pp. 107363-107363
Closed Access | Times Cited: 3
Yılmaz Yılmaz, Safa Nayır
Structures (2024) Vol. 69, pp. 107363-107363
Closed Access | Times Cited: 3
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: 3
Metin Katlav, Mehmet Emin Tabar, Kâzım Türk
Materials Today Communications (2024) Vol. 42, pp. 111286-111286
Closed Access | Times Cited: 3
