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:

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

Showing 25 citing articles:

Evaluation of the Suitability of Using Artificial Neural Networks in Assessing the Effectiveness of Greywater Heat Exchangers
Mariusz Starzec, Sabina Kordana, Beata Piotrowska
Sustainability (2024) Vol. 16, Iss. 7, pp. 2790-2790
Open Access | Times Cited: 5

Automating Dataset Generation for Object Detection in the Construction Industry with AI and Robotic Process Automation (RPA)
Erik Araya-Aliaga, Edison Atencio, Fidel Lozano, et al.
Buildings (2025) Vol. 15, Iss. 3, pp. 410-410
Open Access

Prediction of Member Forces of Steel Tubes on the Basis of a Sensor System with the Use of AI
Haiyu Li, Heung‐Jin Chung
Sensors (2025) Vol. 25, Iss. 3, pp. 919-919
Open Access

Neural network-assisted eco-architectural designs: Conceptualizing sustainable construction solutions
Aleksandra Zatsepina, Liudmila Mikhaylovskaya, Polina Shindina
E3S Web of Conferences (2025) Vol. 614, pp. 05002-05002
Open Access

Eco-sensitive site assessment: Integrating neural networks for environmentally conscious pre-project planning
Aleksandra Zatsepina, Galina Bardina, Polina Shindina
E3S Web of Conferences (2025) Vol. 614, pp. 05003-05003
Open Access

Utilizing construction and demolition waste in soft soil stabilization: A prediction model for enhanced strength and stiffness
Ecem Nur Barisoglu, Taher Ghalandari, D. Snoeck, et al.
Transportation Geotechnics (2025) Vol. 51, pp. 101530-101530
Closed Access

A review of image-based deep learning methods for crack detection
Vindhyesh Pandey, Shambhu Sharan Mishra
Multimedia Tools and Applications (2025)
Closed Access

Global Sensitivity Analysis Methodology for Construction Simulation Models: Multiple Linear Regressions versus Multilayer Perceptions
Sida Wang, Monjurul Hasan, Ming Lu
Journal of Construction Engineering and Management (2024) Vol. 150, Iss. 5
Closed Access | Times Cited: 3

Digitalization of Analysis of a Concrete Block Layer Using Machine Learning as a Sustainable Approach
Parviz Narimani, Mohsen Dehghanpour Abyaneh, Marzieh Golabchi, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7591-7591
Open Access | Times Cited: 3

Pavement crack detection through a deep-learned asymmetric encoder-decoder convolutional neural network
S. A. Fakhri, Mehran Satari Abrovi, Hamzeh Zakeri, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 7

Estimation of the coefficient of permeability as an example of the application of the Random Forest algorithm in Civil Engineering
Justyna Dzięcioł, Wojciech Sas
Archives of Civil Engineering (2024), pp. 119-134
Open Access | Times Cited: 2

UAV-Embedded Sensors and Deep Learning for Pathology Identification in Building Façades: A Review
Gabriel de Sousa Meira, João Victor Ferreira Guedes, Edilson de Souza Bias
Drones (2024) Vol. 8, Iss. 7, pp. 341-341
Open Access | Times Cited: 2

Bayesian Regularization Backpropagation Neural Network for Glass Beams in Lateral–Torsional Buckling
Saddam Hussain, Chiara Bedon, G.A. Kumar, et al.
Advances in Civil Engineering (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 6

ENHANCING SLOPE STABILITY PREDICTION USING A MULTIDISCIPLINARY APPROACH AND RADIAL BASIS FUNCTION NEURAL NETWORK: A CASE STUDY ON THE JELAPANG ROCK SLOPE IN PERAK
Afiqah Ismail, Ahmad Safuan A. Rashid, Ali Dehghanbanadaki, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 135, pp. 103673-103673
Closed Access | Times Cited: 1

Harnessing Artificial Neural Networks for Financial Analysis of Investments in a Shower Heat Exchanger
Sabina Kordana, Mariusz Starzec, Beata Piotrowska
Energies (2024) Vol. 17, Iss. 14, pp. 3584-3584
Open Access | Times Cited: 1

Survey on the Artificial Intelligence and Machine Learning Techniques on the Applications of Wastewater Treatment for Sustainable Environment
Yahya Zakur, Biswadip Basu Mallik, Y. A. Zakoor, et al.
Practice, progress, and proficiency in sustainability (2023), pp. 241-248
Closed Access | Times Cited: 3

GIS Applications and Machine Learning Approaches in Civil Engineering
N. R. Asha Rani, Sasmita Bal, M. Inayathulla
Lecture notes in civil engineering (2024), pp. 157-166
Closed Access

Application of machine learning for optimization and modeling of turbidity removal from aqueous solution
Neelanjan Dutta, Pankaj Dey, Joy Pal
Environmental Progress & Sustainable Energy (2024)
Closed Access

Machine Learning in Civil Engineering - on the example of prediction of the coefficient of permeability
Justyna Dzięcioł
Acta Scientiarum Polonorum Architectura (2024) Vol. 22, pp. 184-191
Open Access

Transformative role of machine learning in design optimization of reinforced concrete frames
Syed Aqeel Ahmad, Tabish Izhar, Tasneem Ahmed, et al.
International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 112
Open Access

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



Vestnik of Kuzbass State Technical University (2024), Iss. 2
Open Access

AUTOMATION OF TECHNICAL DIAGNOSTICS OF LOAD-BEARING STRUCTURES OF BUILDINGS AND STRUCTURES BASED ON FLOW ANALYSIS DATA FROM MONITORING SYSTEMS
Vladimir N. Ryabtsev, M. L. Kheifetz, Д. А. Винтов, et al.
Vestnik of Kuzbass State Technical University (2024), Iss. 2, pp. 4-13
Open Access

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