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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:

A Predictive Mimicker of Fracture Behavior in Fiber Reinforced Concrete Using Machine Learning
Sikandar Ali Khokhar, Touqeer Ahmed, Rao Arsalan Khushnood, et al.
Materials (2021) Vol. 14, Iss. 24, pp. 7669-7669
Open Access | Times Cited: 19

Showing 19 citing articles:

Data-Driven Modeling of Mechanical Properties of Fiber-Reinforced Concrete: A Critical Review
Farzin Kazemi, Torkan Shafighfard, Doo‐Yeol Yoo
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 4, pp. 2049-2078
Closed Access | Times Cited: 48
Concrete Strength Prediction Using Machine Learning Methods CatBoost, k-Nearest Neighbors, Support Vector Regression
Alexey N. Beskopylny, Sergey A. Stel’makh, Evgenii M. Shcherban’, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10864-10864
Open Access | Times Cited: 49
ANN based predictive mimicker for mechanical and rheological properties of eco-friendly geopolymer concrete
Fazal Rehman, Sikandar Ali Khokhar, Rao Arsalan Khushnood
Case Studies in Construction Materials (2022) Vol. 17, pp. e01536-e01536
Open Access | Times Cited: 30
Machine learning models to predict the relationship between printing parameters and tensile strength of 3D Poly (lactic acid) scaffolds for tissue engineering applications
Duygu Ege, Seda Sertturk, Berk Acarkan, et al.
Biomedical Physics & Engineering Express (2023) Vol. 9, Iss. 6, pp. 065014-065014
Open Access | Times Cited: 18
ANN-based predictive mimicker for the constitutive model of engineered cementitious composites (ECC)
Umair Jalil Malik, Sikandar Ali Khokhar, Muhammad Hammad, et al.
Construction and Building Materials (2024) Vol. 420, pp. 135530-135530
Closed Access | Times Cited: 7
A comparative study on the seismic performance of long span Engineered Cementitious Composite (ECC) structures
Sikandar Ali Khokhar, Shahzeb Memon, Touqeer Ahmed, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03129-e03129
Open Access | Times Cited: 4
Prediction of Mechanical Properties of Highly Functional Lightweight Fiber-Reinforced Concrete Based on Deep Neural Network and Ensemble Regression Trees Methods
Sergey A. Stel’makh, Evgenii M. Shcherban’, Alexey N. Beskopylny, et al.
Materials (2022) Vol. 15, Iss. 19, pp. 6740-6740
Open Access | Times Cited: 18
A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations
Konstantinos Demertzis, Stavros Demertzis, Lazaros Iliadis
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3380-3380
Open Access | Times Cited: 9
Advancing seismic resilience: Performance-based assessment of mid-rise and high-rise engineered cementitious composite (ECC) Buildings
Umair Jalil Malik, Fawad Ahmed Najam, Sikandar Ali Khokhar, et al.
Case Studies in Construction Materials (2023) Vol. 20, pp. e02732-e02732
Open Access | Times Cited: 9
XGB Modeling Reveals Improvement of Compressive Strength of Cement-Based Composites with Addition of HPMC and Chitosan
Duygu Ege, Ali Reza Kamali
Materials (2024) Vol. 17, Iss. 2, pp. 374-374
Open Access | Times Cited: 3
Mechanical properties and life cycle assessment of sugarcane bagasse and corn cob ashes‐based geopolymer concrete to promote circular economy
Muhammad Umer, Junaid Ahmad, Muhammad Saleem Abdullah, et al.
Structural Concrete (2023) Vol. 24, Iss. 6, pp. 7482-7505
Closed Access | Times Cited: 8
Investigating the Effect of Processing and Material Parameters of Alginate Dialdehyde-Gelatin (ADA-GEL)-Based Hydrogels on Stiffness by XGB Machine Learning Model
Duygu Ege, Aldo R. Boccaccını
Bioengineering (2024) Vol. 11, Iss. 5, pp. 415-415
Open Access | Times Cited: 2
A predictive mimicker for mechanical properties of eco-efficient and sustainable bricks incorporating waste glass using machine learning
Sikandar Ali Khokhar, Adil Khan, A. B. Siddique, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02424-e02424
Open Access | Times Cited: 6
A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations
Konstantinos Demertzis, Stavros Demertzis, Lazaros Iliadis
(2023)
Open Access | Times Cited: 5
Machine learning applications in the development of sustainable building materials to reduce carbon emission
Sikandar Ali Khokhar, Mati Ullah Shah, Fazal Rehman, et al.
Elsevier eBooks (2024), pp. 93-121
Closed Access | Times Cited: 1
Investigation of effect of processing parameters of 3D printed NHS/EDC crosslinked carboxy methyl cellulose/gelatin hydrogels with machine learning techniques
Duygu Ege, Şule Arıcı
Materials Research Express (2024) Vol. 11, Iss. 4, pp. 045304-045304
Open Access | Times Cited: 1
Systematic literature review on the application of machine learning for the prediction of properties of different types of concrete
Syeda Iqra Hassan, Sidra Abid Syed, S ALI, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1853-e1853
Open Access | Times Cited: 1
A Predictive Mimicker for Mechanical Properties of Eco-Efficient and Sustainable Bricks Incorporating Waste Glass Using Machine Learning
Adil Khan, Sikandar Ali Khokhar, Ali Siddique, et al.
(2023)
Closed Access | Times Cited: 3
Fracture behaviour assessment of high-performance fibre-reinforced concrete at high strain rates using interpretable modelling approaches
Quang Dang Nguyen, Khoa Tan Nguyen, Tuan Kiet Tran, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24704-e24704
Open Access
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