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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:

Axial compressive strength predictive models for recycled aggregate concrete filled circular steel tube columns using ANN, GEP, and MLR
Lihua Chen, Pouyan Fakharian, Danial Rezazadeh Eidgahee, et al.
Journal of Building Engineering (2023) Vol. 77, pp. 107439-107439
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Synergistic effects of fly ash and graphene oxide composites at high temperatures and prediction using ANN and RSM approach
I Venkata Ramana, N. Parthasarathi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Comparative Analysis of Shear Strength Prediction Models for Reinforced Concrete Slab–Column Connections
Sarmed Wahab, Nasim Shakouri Mahmoudabadi, Sarmad Waqas, et al.
Advances in Civil Engineering (2024) Vol. 2024, pp. 1-22
Open Access | Times Cited: 8
An integrated optimization and ANOVA approach for reinforcing concrete beams with glass fiber polymer
Younes Nouri, Mohammad Ali Ghanbari, Pouyan Fakharian
Decision Analytics Journal (2024) Vol. 11, pp. 100479-100479
Open Access | Times Cited: 6
Utilization finite element and machine learning methods to investigation the axial compressive behavior of elliptical FRP-confined concrete columns
Chen Yue, Haytham F. Isleem, Diyar N. Qader, et al.
Structures (2024) Vol. 70, pp. 107681-107681
Closed Access | Times Cited: 6
Modeling and Predicting Scour Hole Dimensions in Siphon Spillways: A Comparative Analysis of Finite-Element Method and Metaheuristic Approaches for Optimal Prediction
Mehrdad Daghighi Masoule, Hasan Ahmadi, K. Nekofar, et al.
Journal of structural design and construction practice. (2025) Vol. 30, Iss. 2
Closed Access
Machine learning methods for compression capacity prediction and sensitivity analysis of concrete-filled steel tubular columns: State-of-the-art review
Bohan Zhang, Yang Yu, Shanchang Yi, et al.
Structures (2025) Vol. 72, pp. 108259-108259
Open Access
Data-Driven Prediction of Axial Compression Capacity of GFRP-Reinforced Concrete Column Using Soft Computing Methods
Younes Nouri, Ali Reza Ghanizadeh, Farzad Safi Jahanshahi, et al.
Journal of Building Engineering (2025), pp. 111831-111831
Closed Access
Enhancing Moment Capacity Prediction in FRP-Reinforced Concrete Beams through Soft Computing Models
Reza Andasht Kazeroon, Nima Ezami, Seyed Mohammad Khatami, et al.
Journal of structural design and construction practice. (2025) Vol. 30, Iss. 2
Closed Access
Development of prediction models for strength properties of concrete using gene expression programming
Asad U. Khan, Muhammad Faisal Javed, Majid Khan
Innovative Infrastructure Solutions (2025) Vol. 10, Iss. 3
Closed Access
Application of optimized random forest simulation on flexural strength of basalt fiber reinforced concrete
Hongliang Yue, Yan Wang, Liang Xiao-yong, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 4
Closed Access
Maximum displacement prediction model for steel beams with hexagonal web openings under impact loading based on artificial neural networks
Huayan Chen, Yongbin Liu, Yating Huang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108932-108932
Closed Access | Times Cited: 4
Data-driven initial peak crushing force prediction of hybrid tubes
Hongyu Liang, Chunda Lu, Yongfeng Pu, et al.
International Journal of Mechanical Sciences (2024) Vol. 271, pp. 109141-109141
Closed Access | Times Cited: 3
Estimating the axial strain of circular short columns confined with CFRP under centric compressive static load using ANN and GRA techniques
Ammar T. Al-Sayegh, Nasim Shakouri Mahmoudabadi, Lamis Behbehani, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e34146-e34146
Open Access | Times Cited: 3
Predicting High-Strength Concrete’s Compressive Strength: A Comparative Study of Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Response Surface Methodology
Tianlong Li, Jianyu Yang, Pengxiao Jiang, et al.
Materials (2024) Vol. 17, Iss. 18, pp. 4533-4533
Open Access | Times Cited: 3
Predicting Autogenous Shrinkage of Concrete Including Superabsorbent Polymers and Other Cementitious Ingredients Using Convolution-based Algorithms
Mohammad Sadegh Barkhordari, Sobhan Ghavaminejad, Mohsen Tehranizadeh
Periodica Polytechnica Civil Engineering (2024)
Open Access | Times Cited: 2
Prediction of compressive strength of recycled concrete using gradient boosting models
Amira Hamdy Ali Ahmed, Jin‐Ming Wu, Mosaad Ali Hussein Ali
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 9, pp. 102975-102975
Open Access | Times Cited: 2
Bond strength prediction of externally bonded reinforcement on groove method (EBROG) using MARS-POA
Pouyan Fakharian, Younes Nouri, Ali Reza Ghanizadeh, et al.
Composite Structures (2024) Vol. 349-350, pp. 118532-118532
Closed Access | Times Cited: 2
Optimizing compressive strength prediction in eco-friendly recycled concrete via artificial intelligence models
Lihua Chen, Younes Nouri, Nazanin Allahyarsharahi, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 2
Intelligent prediction framework for axial compressive capacity of FRP-RACFST columns
Qicheng Xu, Junpeng Li, Yingcai Fang, et al.
Materials Today Communications (2024), pp. 110999-110999
Closed Access | Times Cited: 1
The effect of adsorbent-containing nanoparticles on the efficiency of porous concrete
Emad Kahrizi, Mehdi Sedighi, Taher Rajaee
Construction and Building Materials (2023) Vol. 408, pp. 133696-133696
Closed Access | Times Cited: 4
A quantitative causal analysis and optimization framework for inclusions of steel products
Yu-Chun Wu, H. Zhang, Jian Long, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102629-102629
Closed Access | Times Cited: 1
Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches
Shimol Philip, M. Nidhi, G. Nakkeeran
Journal of Building Pathology and Rehabilitation (2024) Vol. 9, Iss. 2
Closed Access | Times Cited: 1
MÉTODOS DE PROJETO PARA PILARES MISTOS CURTOS CIRCULARES PREENCHIDOS COM CONCRETO RECICLADO SUJEITOS A CARGA AXIAL CENTRADA
Maicon de Freitas Arcine, Ricardo Carrazedo, Silvana De Nardin
Revista Tecnológica (2024) Vol. 33, Iss. 1, pp. 87-96
Open Access | Times Cited: 1
Prediction of flexural strength of concrete with eggshell and glass powders: Advanced cutting-edge approach for sustainable materials
Xiaofei Liu, Ali H. AlAteah, Ali Alsubeai, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 1
Effect of model architecture and input parameters to improve performance of artificial intelligence models for estimating concrete strength using SonReb
Seyed Alireza Alavi, Martin Noël
Engineering Structures (2024) Vol. 323, pp. 119285-119285
Open Access | Times Cited: 1
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