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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:

Experimental assessment of the efficiency of deep learning method in predicting the mechanical properties of polymer concretes and composites
Mostafa Hassani Niaki, Matin Pashaian, Morteza Ghorbanzadeh Ahangari
Journal of Building Engineering (2023) Vol. 76, pp. 107107-107107
Closed Access | Times Cited: 9

Showing 9 citing articles:

Alkali resistance prediction and degradation mechanism of basalt fiber: Integrated with artificial neural network machine learning model
Cong Wei, Quan Zhou, Kai Deng, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108850-108850
Closed Access | Times Cited: 7
Effect of basalt fibers on fracture properties of nanoclay reinforced polymer concrete after exposure to elevated temperatures
Ali Abdi Aghdam, Mostafa Hassani Niaki, Milad Sakkaki
Journal of Building Engineering (2023) Vol. 76, pp. 107329-107329
Closed Access | Times Cited: 10
Polymer Concretes Based on Various Resins: Modern Research and Modeling of Mechanical Properties
Aleksandr Palamarchuk, Pavel Yudaev, Evgeniy M. Chistyakov
Journal of Composites Science (2024) Vol. 8, Iss. 12, pp. 503-503
Open Access | Times Cited: 3
A review on recent applications of machine learning in mechanical properties of composites
Yi Liang, Xinyue Wei, Yongyue Peng, et al.
Polymer Composites (2024)
Closed Access | Times Cited: 1
Split tensile strength of fiber-reinforced coral aggregate concrete: Deep learning model and experimental validation
Lingming Yang, Zhilin Long, Tao Long, et al.
Construction and Building Materials (2024) Vol. 450, pp. 138679-138679
Closed Access | Times Cited: 1
Predicting geometry factors and normalized T‐stress of centrally cracked Brazilian disk specimens using deep learning method
Mostafa Hassani Niaki, Matin Pashaian
Fatigue & Fracture of Engineering Materials & Structures (2023) Vol. 46, Iss. 11, pp. 4089-4102
Open Access | Times Cited: 3
A toughening mechanism of the strain rate-optimal chain length on polymer-modified calcium silicate hydrates (CSH)
Yang Zhou, Shuai Xiao, Luqing Cheng, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 35, pp. 24097-24109
Closed Access | Times Cited: 2
Using deep learning method to predict dimensionless values of stress intensity factors and T‐stress of edge notch disk bend (ENDB) specimen
Mostafa Hassani Niaki, Matin Pashaian
Fatigue & Fracture of Engineering Materials & Structures (2024) Vol. 47, Iss. 8, pp. 2789-2802
Closed Access
Experimental Investigations on Polymer-Modified Concrete's Durability & Behavior in Different Acidic Solutions
Mostafa Sabry, Mohamed Emara, Heba A. Mohamed, et al.
(2024)
Closed Access
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