
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:
Effects of Rebar Size and Volume Fraction of Glass Fibers on Tensile Strength Retention of GFRP Rebars in Alkaline Environment via RSM and SHAP Analyses
Mudassir Iqbal, Daxu Zhang, Muhammad Imran Khan, et al.
Journal of Materials in Civil Engineering (2023) Vol. 35, Iss. 9
Closed Access | Times Cited: 5
Mudassir Iqbal, Daxu Zhang, Muhammad Imran Khan, et al.
Journal of Materials in Civil Engineering (2023) Vol. 35, Iss. 9
Closed Access | Times Cited: 5
Showing 5 citing articles:
Optimization of colloidal nano-silica based cementitious mortar composites using RSM and ANN approaches
Kaffayatullah Khan, Megat Azmi Megat Johari, Muhammad Nasir Amin, et al.
Results in Engineering (2023) Vol. 20, pp. 101390-101390
Open Access | Times Cited: 26
Kaffayatullah Khan, Megat Azmi Megat Johari, Muhammad Nasir Amin, et al.
Results in Engineering (2023) Vol. 20, pp. 101390-101390
Open Access | Times Cited: 26
Durability of concrete-encapsulated GFRP bars subjected to seawater immersion
Jia-Hui Sun, Nian-Jiu Su, Zhou-Qiong He, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03249-e03249
Open Access | Times Cited: 9
Jia-Hui Sun, Nian-Jiu Su, Zhou-Qiong He, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03249-e03249
Open Access | Times Cited: 9
Indirect prediction of graphene nanoplatelets-reinforced cementitious composites compressive strength by using machine learning approaches
Muhammad Fawad, Hisham Alabduljabbar, Furqan Farooq, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Muhammad Fawad, Hisham Alabduljabbar, Furqan Farooq, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Prediction of bond strength and failure mode of FRP bars embedded in UHPC or UHPSSC utilising extreme gradient boosting technique
P Zhang, Xiao‐Ling Zhao, Daxu Zhang, et al.
Composite Structures (2024) Vol. 346, pp. 118437-118437
Closed Access | Times Cited: 4
P Zhang, Xiao‐Ling Zhao, Daxu Zhang, et al.
Composite Structures (2024) Vol. 346, pp. 118437-118437
Closed Access | Times Cited: 4
Natural language processing‐based deep transfer learning model across diverse tabular datasets for bond strength prediction of composite bars in concrete
Peng Zhang, Daxu Zhang, Xiao‐Ling Zhao, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 3
Peng Zhang, Daxu Zhang, Xiao‐Ling Zhao, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 3