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:

An Artificial Neural Network Approach to Predicting Most Applicable Post-Contract Cost Controlling Techniques in Construction Projects
Temitope Omotayo, Bankole Awuzie, Ayokunle Olubunmi Olanipekun
Applied Sciences (2020) Vol. 10, Iss. 15, pp. 5171-5171
Open Access | Times Cited: 23

Showing 23 citing articles:

The Role of Artificial Neural Networks in Prediction of Mechanical and Tribological Properties of Composites—A Comprehensive Review
Uma Maheshwera Reddy Paturi, Suryapavan Cheruku, N.S. Reddy
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 5, pp. 3109-3149
Closed Access | Times Cited: 48

A novel early stage drip irrigation system cost estimation model based on management and environmental variables
Masoud Pourgholam-Amiji, Khaled Ahmadaali, Abdolmajid Liaghat
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Using Machine Learning to Improve Cost and Duration Prediction Accuracy in Green Building Projects
Amos Darko, Iuliia Glushakova, Emmanuel B. Boateng, et al.
Journal of Construction Engineering and Management (2023) Vol. 149, Iss. 8
Closed Access | Times Cited: 15

Infrastructure Elements for Smart Campuses: A Bibliometric Analysis
Temitope Omotayo, Alireza Moghayedi, Bankole Awuzie, et al.
Sustainability (2021) Vol. 13, Iss. 14, pp. 7960-7960
Open Access | Times Cited: 25

An application of Artificial Neural Network (ANN) to predict the friction coefficient of nuclear grade graphite
Ashish Soni, Mohammad Yusuf, Mukarram Beg, et al.
Materials Today Proceedings (2022) Vol. 68, pp. 701-709
Closed Access | Times Cited: 14

A hybrid machine learning approach for early cost estimation of pile foundations
G. Deepa, A.J. Niranjana, A. S. Balu
Journal of Engineering Design and Technology (2023)
Closed Access | Times Cited: 7

Tools for cost management
Jailson dos Santos Silva, Maria Silene Alexandre Leite
Revista Produção Online (2024) Vol. 23, Iss. 4, pp. 4492-4492
Open Access | Times Cited: 2

Application of Predictive Analytics in Built Environment Research: A Comprehensive Bibliometric Study to Explore Knowledge Domains and Future Research Agenda
Aritra Halder, Sachin Batra
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4299-4324
Closed Access | Times Cited: 4

Artificial Neural Network Application in Construction and the Built Environment: A Bibliometric Analysis
Amit Kaushik, Rubina Islam, Salma Elbahy, et al.
Buildings (2024) Vol. 14, Iss. 8, pp. 2423-2423
Open Access | Times Cited: 1

Proposal and Application of a Methodology to Improve the Control and Monitoring of Complex Hydroelectric Power Station Construction Projects
Paúl T Urgilés, Miguel Ángel Sebastián Pérez, Juan Claver
Applied Sciences (2020) Vol. 10, Iss. 21, pp. 7913-7913
Open Access | Times Cited: 10

Modelling the uncertainty of cost and time in highway projects
Alireza Moghayedi, Abimbola Windapo
Infrastructure Asset Management (2022) Vol. 9, Iss. 2, pp. 73-88
Open Access | Times Cited: 6

Predicting Performance Measurement of Residential Buildings Using Machine Intelligence Techniques (MLR, ANN and SVM)
Salah J. Mohammed, Hesham Abdelkhalek, Sherif M. Hafez
Iranian Journal of Science and Technology Transactions of Civil Engineering (2021) Vol. 46, Iss. 4, pp. 3429-3451
Closed Access | Times Cited: 7

Evaluating the impact of uncertainty events on the cost of linear infrastructure projects
Alireza Moghayedi, Abimbola Windapo
Proceedings of the Institution of Civil Engineers - Engineering Sustainability (2022) Vol. 176, Iss. 6, pp. 323-334
Closed Access | Times Cited: 4

Development of a hybrid artificial neural network method for evaluation of the sustainable construction projects
Halah Albasri, Sepanta Naimi
Acta Logistica (2023) Vol. 10, Iss. 3, pp. 345-352
Open Access | Times Cited: 2

Predictive Modeling of Tandem Silicon Solar Cell for Calculating Efficiency
S. V. Katkar, K. G. Kharade, Nikhil S. Patil, et al.
Communications in computer and information science (2021), pp. 183-194
Closed Access | Times Cited: 5

Automated Risk Analysis for Construction Contracts Using Neural Networks
Khaled Hamdy, Ibrahim Abdel-Rasheed, Yasmeen A. S. Essawy, et al.
Journal of Legal Affairs and Dispute Resolution in Engineering and Construction (2024) Vol. 16, Iss. 4
Closed Access

Predicting Performance Measurement of Residential Buildings Using an Artificial Neural Network
Salah J. Mohammed, Hesham Abdelkhalek, Sherif M. Hafez
Civil Engineering Journal (2021) Vol. 7, Iss. 3, pp. 461-476
Open Access | Times Cited: 4

Digitale Transformation im Bauwesen – Grundlagen zur künstlichen Intelligenz und deren Anwendung im Wohnungsbau
Michael Kraus, Mathias Obergrießer
(2023), pp. 275-308
Closed Access | Times Cited: 1

Prediction interdependency on the post-disaster reconstruction of Iraqi projects (neural network model)
H. G. Abdulkareem, Kadhim Raheim Erzaij
AIP conference proceedings (2023) Vol. 2797, pp. 080009-080009
Closed Access

PROJECT COST CONTROL TECHNIQUES AND PERFORMANCE OF WATER PROJECTS IN KERICHO COUNTY, KENYA
LORNAH CHEPKEMBOI BICHANG’A, Gladys Kimutai
Strategic Journal of Business & Change Management (2023) Vol. 10, Iss. 4
Open Access

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