Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Neural network model for bond strength of FRP bars in concrete
Nolan C. Concha
Structures (2022) Vol. 41, pp. 306-317
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Predicting the Compressive Strength of Environmentally Friendly Concrete Using Multiple Machine Learning Algorithms
Yanhua Yang, Guiyong Liu, Haihong Zhang, et al.
Buildings (2024) Vol. 14, Iss. 1, pp. 190-190
Open Access | Times Cited: 8
XGBoost algorithm based estimation of near surface mounted FRP rod-to-concrete bond strength and failure mode
Aman Kumar, Harish Chandra Arora, Moncef L. Nehdi
Journal of Building Engineering (2024) Vol. 90, pp. 109418-109418
Open Access | Times Cited: 7
A Novel CNN-LSTM Hybrid Model for Prediction of Electro-Mechanical Impedance Signal Based Bond Strength Monitoring
Lukesh Parida, Sumedha Moharana, Victor Ferreira, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9920-9920
Open Access | Times Cited: 29
Estimation of the Bond Strength of Fiber-Reinforced Polymer Bars in Concrete Using Artificial Intelligence Systems
Nadim I. Shbeeb, Alma A. Katash, Metin Oguzmert, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 369-369
Open Access | Times Cited: 5
Gene‐expression programming‐based models for comprehensive evaluation of bond strength and critical slip of various types of FRP bars in concrete
Nguyễn Minh Hải, Van-Ngoc Pham, Hoang Nam Phan, et al.
Structural Concrete (2025)
Closed Access
A robust carbonation depth model in recycled aggregate concrete (RAC) using neural network
Nolan C. Concha
Expert Systems with Applications (2023) Vol. 237, pp. 121650-121650
Closed Access | Times Cited: 12
A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN)
Sareh Akbarpoor, Mohammadali Rezazadeh, Bahman Ghiassi, et al.
Construction and Building Materials (2024) Vol. 427, pp. 136034-136034
Open Access | Times Cited: 4
Machine learning prediction method for the interface bond strength between fiber reinforced polymer bars and concrete based on multi-feature driven analysis
Tao Huang, Chunfeng Wan, Tingbin Liu, et al.
Materials Today Communications (2024), pp. 110706-110706
Closed Access | Times Cited: 4
Numerical investigation on the flexural behavior of GFRP reinforced concrete beams with CFRP grid-reinforced engineered cementitious composites
Zaiyu Zhang, Xiaohong Wu, Jinghua Zhang, et al.
Engineering Structures (2023) Vol. 288, pp. 116163-116163
Closed Access | Times Cited: 11
Rapid Analysis of CFRP-Reinforced Concrete Structures Using Artificial Neural Networks
Nasim Shakouri Mahmoudabadi, Charles V. Camp
Advances in mechatronics and mechanical engineering (AMME) book series (2024), pp. 60-96
Closed Access | Times Cited: 3
A hybrid neuro-swarm model for shear strength of steel fiber reinforced concrete deep beams
Nolan C. Concha, John Rei Aratan, Eloisa Marie Derigay, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107340-107340
Closed Access | Times Cited: 8
A data-driven approach for predicting interface bond strength between corroded reinforcement and concrete
Tao Huang, Tingbin Liu, Ning Xu, et al.
Structures (2023) Vol. 57, pp. 105122-105122
Closed Access | Times Cited: 8
Numerical Analysis on Flexural Shear Behavior of Reinforced Concrete Beams Strengthened with Fiber-Reinforced Polymer Grid and Engineered Cement Composites
Xiaoyang Guo, Zaiyu Zhang, Qing Sun, et al.
Buildings (2024) Vol. 14, Iss. 8, pp. 2304-2304
Open Access | Times Cited: 2
Investigating the Bond Strength of FRP Rebars in Concrete under High Temperature Using Gene-Expression Programming Model
Muhammad Nasir Amin, Mudassir Iqbal, Fadi Althoey, et al.
Polymers (2022) Vol. 14, Iss. 15, pp. 2992-2992
Open Access | Times Cited: 9
Investigation of the application scope of bond strength empirical formulas for various FRP bars in concrete: A case study utilizing the safety probability value with a large test dataset
Huynh Phuong Nam, Nguyễn Minh Hải, Viet Hai, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03168-e03168
Open Access | Times Cited: 1
Predicting the Bond Strength Between Concrete and Glass Fiber-Reinforced Polymer Bars Using Soft Computing Models
Saeed Farahi Shahri, Seyed Roohollah Mousavi
Iranian Journal of Science and Technology Transactions of Civil Engineering (2023) Vol. 47, Iss. 6, pp. 3507-3522
Closed Access | Times Cited: 3
Hybrid Neuro-Particle Swarm Model For Carbonation Depth Forecasting In Recycled Aggregate Concrete
Leonard M. Agustin, Dario Landa-Silva
(2023), pp. 492-500
Closed Access | Times Cited: 3
Corrosion life prediction of glass fiber reinforced plastics by optimized BP neural network
Bin Liu, Yingwei Liu
Inorganic Chemistry Communications (2022) Vol. 144, pp. 109846-109846
Closed Access | Times Cited: 5
Development of theoretical model for predicting flexural behavior of GFRP reinforced concrete beams with CFRP grid‐reinforced ECC
Zaiyu Zhang, Wenshi Li, Xiaoyang Guo, et al.
Structural Concrete (2023) Vol. 25, Iss. 1, pp. 583-602
Open Access | Times Cited: 2
Interaction Between Concrete and FRP Laminate in Structural Members Composed of Reused Wind Turbine Blades Filled with Concrete
Anna Halicka, Lidia Buda‐Ożóg, Mirosław Broniewicz, et al.
Materials (2024) Vol. 17, Iss. 24, pp. 6186-6186
Open Access
Finite Element Modelling and Parametric Analysis of High Strength Thin Reinforced Concrete Slabs Strengthened by CFRP Laminates
Islam Attallah
ERJ Engineering Research Journal (2022)
Open Access | Times Cited: 3
Development of an artificial neural network based-prediction model for bond strength of FRP bars in concrete
Nam Huynh Phuong, Duc Anh, Nam Phan Hoang, et al.
The Transport and Communications Science Journal (2024) Vol. 75, Iss. 4, pp. 1502-1517
Open Access
Bond strength prediction of FRP reinforced concrete using soft computing techniques
Xinhua Xue, Ruiliang Zhang, Xuanquan Chen, et al.
Soft Computing (2024) Vol. 28, Iss. 19, pp. 11553-11564
Closed Access
Automated explainable ensemble learning prediction of FRP-bar-to-concrete bond strength and failure pattern under diverse exposure scenarios
Aman Kumar, Harish Chandra Arora, Prashant Kumar, et al.
Construction and Building Materials (2024) Vol. 445, pp. 137840-137840
Open Access
Data-driven prediction of high-temperature bond strength in corroded reinforced concrete
Tao Huang, Chunfeng Wan, Tingbin Liu, et al.
Structures (2024) Vol. 71, pp. 107973-107973
Closed Access
Page 1 - Next Page

Scroll to top