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-Based Prediction: The Case of Reinforced Concrete Members under Simple and Complex Loading
Afaq Ahmad, Nikos D. Lagaros, Demetrios M. Cotsovos
Applied Sciences (2021) Vol. 11, Iss. 11, pp. 4975-4975
Open Access | Times Cited: 12

Showing 12 citing articles:

Predicting Confinement Effect of Carbon Fiber Reinforced Polymers on Strength of Concrete using Metaheuristics-based Artificial Neural Networks
Sarmed Wahab, Mohamed Suleiman, Faisal Shabbir, et al.
Journal of Civil Engineering Frontiers (2024) Vol. 4, Iss. 02, pp. 45-59
Open Access | Times Cited: 14
Artificial Neural Networks Applied in Civil Engineering
Nikos D. Lagaros
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 1131-1131
Open Access | Times Cited: 25
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 alternative approach for measuring the mechanical properties of hybrid concrete through image processing and machine learning
Muhammad Imran Waris, Vagelis Plevris, Junaid Mir, et al.
Construction and Building Materials (2022) Vol. 328, pp. 126899-126899
Closed Access | Times Cited: 33
A Hybrid Artificial Neural Network—Particle Swarm Optimization Algorithm Model for the Determination of Target Displacements in Mid-Rise Regular Reinforced-Concrete Buildings
Mehmet Fatih Işık, Fatih Avcil, Ehsan Harirchian, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9715-9715
Open Access | Times Cited: 17
Experimental and Numerical Investigation of Construction Defects in Reinforced Concrete Corbels
Faisal Shabbir, Alireza Bahrami, Ibrar Ahmad, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2247-2247
Open Access | Times Cited: 13
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
Prediction of load-bearing capacity of RC Columns (CWA) using Artificial Neural Networks (ANN) trained on a Hybrid Experimental Database HEXP
Ammar T. Al-Sayegh, Nasim Shakouri Mahmoudabadi, Faisal Shabbir, et al.
Journal of Engineering Research (2024)
Open Access | Times Cited: 2
Prediction of columns with GFRP bars through Artificial Neural Network and ABAQUS
Afaq Ahmad, Aiman Aljuhni, Muhammad Usman Arshid, et al.
Structures (2022) Vol. 40, pp. 247-255
Closed Access | Times Cited: 7
Comparative Analysis of Reinforced Concrete Beam Behaviour: Conventional Model vs. Artificial Neural Network Predictions
Muhammad Mahtab Ahmad, Ayub Elahi, Salim Barbhuiya
Materials (2023) Vol. 16, Iss. 24, pp. 7642-7642
Open Access | Times Cited: 1
PREDICTION MODELS FOR LOAD CARRYING CAPACITY OF RC WALL THROUGH NEURAL NETWORK
Shaheera Sharib, Naveed Ahmad, Vagelis Plevris, et al.
(2021), pp. 132-142
Open Access | Times Cited: 3
Advanced structural health monitoring and damage detection using inverse methods and perturbation stiff-ness matrix analysis
Arvin Fardipour, Norman Herl, Sarmad Waqas, et al.
World Journal of Advanced Research and Reviews (2023) Vol. 20, Iss. 1, pp. 001-009
Open Access
Page 1

Scroll to top