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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:

Hybrid regression and machine learning model for predicting ultimate condition of FRP-confined concrete
Behrooz Keshtegar, Aliakbar Gholampour, Duc‐Kien Thai, et al.
Composite Structures (2021) Vol. 262, pp. 113644-113644
Closed Access | Times Cited: 38

Showing 26-50 of 38 citing articles:

Towards a Comprehensive Assessment of Statistical versus Soft Computing Models in Hydrology: Application to Monthly Pan Evaporation Prediction
Mohammad Zounemat‐Kermani, Behrooz Keshtegar, Özgür Kişi, et al.
Water (2021) Vol. 13, Iss. 17, pp. 2451-2451
Open Access | Times Cited: 15
Data driven strength and strain enhancement model for FRP confined concrete using Bayesian optimization
Junsong Du, Haixing Ma, Di Sun, et al.
Structures (2022) Vol. 41, pp. 1345-1358
Closed Access | Times Cited: 10
Icing Time Prediction Model of Pavement Based on an Improved SVR Model with Response Surface Approach
Lingxiao Shangguan, Yunfei Yin, Qingtao Zhang, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8109-8109
Open Access | Times Cited: 10
Data-Driven Shear Strength Prediction of FRP-Reinforced Concrete Beams without Stirrups Based on Machine Learning Methods
Yuanzhang Yang, Gaoyang Liu
Buildings (2023) Vol. 13, Iss. 2, pp. 313-313
Open Access | Times Cited: 5
Proposing the combined MARS–PSO and ELM–PSO models for estimating the compressive strength of circular concrete columns wrapped with FRP sheets
Mojtaba Hanteh, Haniyeh Malek, Ali Kheyroddin
Soft Computing (2023) Vol. 27, Iss. 21, pp. 15937-15953
Closed Access | Times Cited: 4
Axial strength prediction of seawater sea sand concrete-filled circular FRP tubes under alkaline environment based on ensemble learning algorithms
Maria D.C. Hernandez Obando, Mudassir Iqbal, Daxu Zhang, et al.
Thin-Walled Structures (2023) Vol. 195, pp. 111530-111530
Closed Access | Times Cited: 4
The Efficiency of Using Machine Learning Techniques in Fiber-Reinforced-Polymer Applications in Structural Engineering
Mohammad Alhusban, Mohannad Alhusban, Ayah A. Alkhawaldeh
Sustainability (2023) Vol. 16, Iss. 1, pp. 11-11
Open Access | Times Cited: 3
An Artificial Network-Based Prediction of Key Reference Zones on Axial Stress–Strain Curves of FRP-Confined Concrete
Ali Fallah Pour, Aliakbar Gholampour
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3038-3038
Open Access | Times Cited: 2
Predicting the mechanical behavior of carbon fiber-reinforced polymer using machine learning methods: a systematic review
Francisco Maciel Monticeli, Fillip Cortat Alves, Luis Felipe de Paula Santos, et al.
Elsevier eBooks (2024), pp. 193-233
Closed Access
Prediction of confined compressive strength of concrete column strengthened with FRCM composites
Prashant Kumar, Harish Chandra Arora, R. Siva Chidambaram, et al.
Structural Concrete (2024)
Closed Access
Job Labour-Hours Forecasting for a Pipe Spool Fabrication Shop Using Data Mining
Mohammad Rezaul Karim, Brian Gue, Lingzi Wu, et al.
Lecture notes in civil engineering (2024), pp. 437-449
Closed Access
Seismic Response Prediction of Open- and Closed-Loop Structural Control Systems Using a Multi-State-Dependent Parameter Estimation Approach
Abbas‐Ali Zamani, Sadegh Etedali
International Journal of Computational Methods (2022) Vol. 19, Iss. 05
Closed Access | Times Cited: 3
Estimation of confined compressive strength of LRS‐FRP concrete specimens with computational intelligence
Sleek Chang, Harish Chandra Arora, Aman Kumar, et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2024) Vol. 104, Iss. 10
Open Access
Prediction of shear strength for steel fiber reinforced concrete using machine learning techniques
R. Suganya, R. Gowsalyaa, R. Theenathayalan
Materials Today Proceedings (2022) Vol. 62, pp. 4370-4373
Closed Access | Times Cited: 2
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