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:

Novel Fuzzy-Based Optimization Approaches for the Prediction of Ultimate Axial Load of Circular Concrete-Filled Steel Tubes
Jin‐song Liao, Panagiotis G. Asteris, Liborio Cavaleri, et al.
Buildings (2021) Vol. 11, Iss. 12, pp. 629-629
Open Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

Investigating the compression behavior of concrete‐filled double‐skin steel elliptical tubular columns by a fusion of finite element analysis and machine learning
Wei‐Ming Tian, Haytham F. Isleem, Naga Dheeraj Kumar Reddy Chukka, et al.
Structural Concrete (2025)
Closed Access

The Impact of Manufacturing Technology on the Tube-Steel Concrete Columns Bearing Capacity Under Axial Load
Evgenii M. Shcherban’, Alexey N. Beskopylny, Sergey A. Stel’makh, et al.
Buildings (2025) Vol. 15, Iss. 6, pp. 950-950
Open Access

Predicting concrete-encased column behavior under uniaxial load using adaptive neural fuzzy systems
Lamiaa K. Idriss, Yasser Abdel Shafy Gamal
Expert Systems with Applications (2025), pp. 127354-127354
Closed Access

Evaluating neural network models for load-bearing capacity of RCFST columns
Zhichao Lai, Shiji Zhang, Deren Lu, et al.
Structures (2025) Vol. 76, pp. 109027-109027
Closed Access

ANN-Based Prediction of Compressive Strength in Cement and Polystyrene-Stabilized Earth Bricks
Géraldine Gouafo Kougoum, Dieunedort Ndapeu, Giresse Ulrich Defo Tatchum, et al.
Results in Surfaces and Interfaces (2025), pp. 100556-100556
Open Access

An integral testing and modeling approach to evaluate the flexural performance of eco-friendly quaternary blended rubberized mortar
Ahmed A. Alawi Al-Naghi, Muhammad Nasir Amin, Muhammad Musa, et al.
Materials Today Communications (2025), pp. 112785-112785
Closed Access

AI-based prediction for the strength, cost, and sustainability of eggshell and date palm ash-blended concrete
Quanwei Zhao, Qi Chen, Ali H. AlAteah, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2025) Vol. 64, Iss. 1
Open Access

Prediction of Bearing Capacity of the Square Concrete-Filled Steel Tube Columns: An Application of Metaheuristic-Based Neural Network Models
Payam Sarir, Danial Jahed Armaghani, Huanjun Jiang, et al.
Materials (2022) Vol. 15, Iss. 9, pp. 3309-3309
Open Access | Times Cited: 16

Application of ensemble model in capacity prediction of the CCFST columns under axial and eccentric loading
Jing Wang, Ruichen Lu, Ming Cheng
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8

Artificial neural network assisted bearing capacity and confining pressure prediction for rectangular concrete-filled steel tube (CFT)
Bingzhen Zhao, Pengfei Li, Yansheng Du, et al.
Alexandria Engineering Journal (2023) Vol. 74, pp. 517-533
Open Access | Times Cited: 7

AOSMA-MLP: A Novel Method for Hybrid Metaheuristics Artificial Neural Networks and a New Approach for Prediction of Geothermal Reservoir Temperature
Ezgi Gürgenç, Osman Altay, Elif Varol Altay
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3534-3534
Open Access | Times Cited: 2

Explainable machine learning models for predicting the ultimate bending capacity of slotted perforated cold-formed steel beams under distortional buckling
Lenganji Simwanda, Perampalam Gatheeshgar, F.M. Ilunga, et al.
Thin-Walled Structures (2024) Vol. 205, pp. 112587-112587
Open Access | Times Cited: 2

Estimating the Axial Compression Capacity of Concrete-Filled Double-Skin Tubular Columns with Metallic and Non-Metallic Composite Materials
Pavithra Chandramouli, J. Revathy, P. Gajalakshmi, et al.
Materials (2022) Vol. 15, Iss. 10, pp. 3567-3567
Open Access | Times Cited: 11

Hybrid particle swarm optimization and group method of data handling for the prediction of ultimate strength of concrete-filled steel tube columns
Chubing Deng, Xinhua Xue
Advances in Engineering Software (2024) Vol. 195, pp. 103708-103708
Closed Access | Times Cited: 2

Revealing the nature of concrete materials using soft computing models
Kangkang Duan, Shuangyin Cao, Zhengbo Zou, et al.
Journal of Building Engineering (2022) Vol. 59, pp. 105148-105148
Closed Access | Times Cited: 9

Reliability analysis of normal strength CFST rectangular columns through multiple approaches
Ali Raza, Abdellatif Selmi, Mohamed Hechmi El Ouni, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124901-124901
Closed Access | Times Cited: 1

Soft Computing Techniques to Model the Compressive Strength in Geo-Polymer Concrete: Approaches Based on an Adaptive Neuro-Fuzzy Inference System
Zhiguo Chang, Xuyang Shi, Kaidan Zheng, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3505-3505
Open Access | Times Cited: 1

Axial Compression Test and Numerical Investigation of Concrete-Filled Double-Skin Elliptical Tubular Short Columns
Jingzhe Li, Qihan Shen, Jingfeng Wang, et al.
Buildings (2022) Vol. 12, Iss. 12, pp. 2120-2120
Open Access | Times Cited: 5

Deep Neural Networks for the Estimation of Masonry Structures Failures under Rockfalls
Olga Mavrouli, Athanasia D. Skentou, Josep Maria Carbonell, et al.
Geosciences (2023) Vol. 13, Iss. 6, pp. 156-156
Open Access | Times Cited: 2

Predicting the Fracture Characteristics of Concrete Using Ensemble and Meta-heuristic Algorithms
Quan Zhang, Xiaojun Zhou
KSCE Journal of Civil Engineering (2023) Vol. 27, Iss. 7, pp. 2940-2951
Closed Access | Times Cited: 2

Hybrid RNN and metaheuristic approach for modeling and optimization of seismic behavior in thin-walled rectangular hollow bridge piers
Sawsan Mohammad Amin Alkhawaldeh
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 3, pp. 2399-2413
Closed Access | Times Cited: 1

Machine learning-based strength prediction for circular concrete-filled double-skin steel tubular columns under axial compression
Shou-Zhen Li, Jinjin Wang, Liming Jiang, et al.
Engineering Structures (2024) Vol. 325, pp. 119460-119460
Closed Access

An Optimized Clustering Approach to Investigate the Main Features in Predicting the Punching Shear Capacity of Steel Fiber-Reinforced Concrete
Shaojie Zhang, Mahdi Hasanipanah, Biao He, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12950-12950
Open Access | Times Cited: 2

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