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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:

Prediction of simulated cost contingency for steel reinforcement in building projects: ANN versus regression-based models
A. M. El-Kholy, Ahmed M. Tahwia, Mai M. Elsayed
International Journal of Construction Management (2020) Vol. 22, Iss. 9, pp. 1675-1689
Closed Access | Times Cited: 24

Showing 24 citing articles:

A novel construction cost prediction model using hybrid natural and light gradient boosting
Debaditya Chakraborty, Hosam Elhegazy, Hazem Elzarka, et al.
Advanced Engineering Informatics (2020) Vol. 46, pp. 101201-101201
Closed Access | Times Cited: 149
Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 42
Predictions of steel price indices through machine learning for the regional northeast Chinese market
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 20863-20882
Closed Access | Times Cited: 42
Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 15
Predicting Scrap Steel Prices Through Machine Learning for South China
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2025) Vol. 7, Iss. 1
Closed Access | Times Cited: 2
Decentralizing construction AI applications using blockchain technology
Kareem Adel, Ahmed Elhakeem, Mohamed Marzouk
Expert Systems with Applications (2022) Vol. 194, pp. 116548-116548
Closed Access | Times Cited: 39
Regional steel price index predictions for the southwest Chinese market through machine learning
Bingzi Jin, Xiaojie Xu
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access | Times Cited: 5
Understanding project cost contingency estimation: a holistic risk perspective
L. L. Zhang, Yadi Li, Sun Ning, et al.
International Journal of Managing Projects in Business (2025)
Closed Access
Estimation of Mechanical Properties of Acrylonitrile-Butadiene-Styrene for Additive Manufacturing Using Artificial Neural Network and Lm-Bp Optimisation Method
G. A. Munshi, Venkatesh M. Kulkarni, Shanoorbaba Yargatti
(2025)
Closed Access
Improving Cost Contingency Estimation in Infrastructure Projects with Artificial Neural Networks and a Complexity Index
Michael C.P. Sing, Qiuwen Ma, Qing Gu
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3519-3519
Open Access
Appropriate budget contingency determination for construction projects: State-of-the-art
Taher Ammar, Mohamed Abdel-Monem, Karim El-Dash
Alexandria Engineering Journal (2023) Vol. 78, pp. 88-103
Open Access | Times Cited: 11
Optimizing characteristics of high-performance concrete incorporating hybrid polypropylene fibers
Ahmed M. Tahwia, Marwa Mokhles, Walid E. Elemam
Innovative Infrastructure Solutions (2023) Vol. 8, Iss. 11
Open Access | Times Cited: 11
Optimizing passive design strategies for energy efficient buildings using hybrid artificial neural network (ANN) and multi-objective evolutionary algorithm through a case study approach
Tripti Singh Rajput, Albert Thomas
International Journal of Construction Management (2022) Vol. 23, Iss. 13, pp. 2320-2332
Closed Access | Times Cited: 14
Least Square Moment Balanced Machine: A New Approach To Estimating Cost To Completion For Construction Projects
Min‐Yuan Cheng, Riqi Radian Khasani
Journal of Information Technology in Construction (2024) Vol. 29, pp. 503-524
Open Access | Times Cited: 2
Steel price index forecasts through machine learning for northwest China
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 2
Impact of aleatoric, stochastic and epistemic uncertainties on project cost contingency reserves
David Curto, Fernando Acebes, José M. González-Varona, et al.
International Journal of Production Economics (2022) Vol. 253, pp. 108626-108626
Open Access | Times Cited: 11
On the project risk baseline: Integrating aleatory uncertainty into project scheduling
Fernando Acebes, David Poza, José M. González-Varona, et al.
Computers & Industrial Engineering (2021) Vol. 160, pp. 107537-107537
Open Access | Times Cited: 15
MECHANICAL PROPERTIES AND MICROSTRUCTURE OF HIGH-STRENGTH ALKALI-ACTIVATED CONCRETE INCLUDING HIGH-VOLUMES OF WASTE BRICK POWDER USING RESPONSE SURFACE METHODOLOGY
salah Alkhurainej, Ahmed M. Tahwia, Mohamed Mahdy
Journal of Al-Azhar University Engineering Sector (2024) Vol. 19, Iss. 70, pp. 25-50
Open Access | Times Cited: 1
‘There are also unknown unknowns’: a resilience-informed approach for forecasting and monitoring management reserve in projects
Seyed Ashkan Zarghami
International Journal of Production Research (2024), pp. 1-21
Open Access | Times Cited: 1
Regression-based model predicting cost contingencies for road network projects
Taher Ammar, Mohamed Abd‐Elmonem, Karim El-Dash
International Journal of Construction Management (2024), pp. 1-15
Closed Access | Times Cited: 1
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
ANN-based estimation model for the preconstruction cost of pavement rehabilitation projects
Tariq Shehab, Nigel Blampied, Elhami Nasr, et al.
International Journal of Construction Management (2023) Vol. 24, Iss. 8, pp. 894-901
Closed Access | Times Cited: 3
Fuzzy, neural network, and expert system hybrid method development framework for cost contingency estimation in subsea gas pipeline construction
Muhammad Yusuf, Yusuf Latief
AIP conference proceedings (2024) Vol. 3219, pp. 080004-080004
Closed Access
Estimating the Renovation Cost of Water, Sewage, and Gas Pipeline Networks: Multiple Regression Analysis to the Appraisal of a Reliable Cost Estimator for Urban Regeneration Works
Gianluigi De Mare, Luigi Dolores, Maria Macchiaroli
Buildings (2023) Vol. 13, Iss. 11, pp. 2827-2827
Open Access | Times Cited: 1
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