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:

Construction cost estimation of reinforced and prestressed concrete bridges using machine learning
Miljan Kovačević, Nenad Ivanišević, Predrag Petronijević, et al.
Journal of the Croatian Association of Civil Engineers (2021) Vol. 73, Iss. 01, pp. 1-13
Open Access | Times Cited: 19

Showing 19 citing articles:

Machine learning-aided engineering services' cost overruns prediction in high-rise residential building projects: Application of random forest regression
Shahab Shoar, Nicholas Chileshe, David J. Edwards
Journal of Building Engineering (2022) Vol. 50, pp. 104102-104102
Closed Access | Times Cited: 76
Modeling of Compressive Strength of Self-Compacting Rubberized Concrete Using Machine Learning
Miljan Kovačević, Silva Lozančić, Emmanuel Karlo Nyarko, et al.
Materials (2021) Vol. 14, Iss. 15, pp. 4346-4346
Open Access | Times Cited: 51
Extremely Randomized Trees Regressor Scheme for Mobile Network Coverage Prediction and REM Construction
Carla E. García, Insoo Koo
IEEE Access (2023) Vol. 11, pp. 65170-65180
Open Access | Times Cited: 11
Comparison of Machine-Learning Algorithms for Estimating Cost of Conventional and Accelerated Bridge Construction Methods during Early Design Phase
Hadil Helaly, Khaled El‐Rayes, Ernest-John Ignacio, et al.
Journal of Construction Engineering and Management (2025) Vol. 151, Iss. 3
Closed Access
An artificial neural network (ANN) approach for early cost estimation of concrete bridge systems in developing countries: the case of Sri Lanka
Nirodha Fernando, Kasun Dilshan T.A., Hexin Zhang
Journal of Financial Management of Property and Construction (2023) Vol. 29, Iss. 1, pp. 23-51
Open Access | Times Cited: 8
Price prediction of residential buildings using random forest and artificial neural network
Akram Ashraf, Mohammed Rady, Sandy Mahfouz
HBRC Journal (2023) Vol. 20, Iss. 1, pp. 23-41
Open Access | Times Cited: 5
Smart material selection strategies for sustainable and cost-effective high-performance concrete production using deep learning
T. Seethalakshmi, M. Murugan, P. Maria Antony Sebastin Vimalan
Automatika (2024) Vol. 65, Iss. 4, pp. 1533-1544
Open Access | Times Cited: 1
Probabilistic pre-estimation of life-cycle costs of road bridges using dynamic Bayesian networks
Theodora Vagdatli, Kleopatra Petroutsatou, Panagiotis Panetsos, et al.
Structure and Infrastructure Engineering (2024), pp. 1-20
Closed Access | Times Cited: 1
A taxonomy of machine learning techniques for construction cost estimation
Panagiotis Karadimos, Λεωνίδας Ανθόπουλος
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 11
Closed Access | Times Cited: 1
Decentralized clinical trials
Ashok Kumar Peepliwal
Elsevier eBooks (2024), pp. 281-296
Closed Access
Estimation Of Strength Properties Of Self Compacting Concrete By Using Artificial Intelligence And Machine Learning Techniques
R. Manjula, K. Malarvizhi, Sahana T Swamy, et al.
(2024)
Open Access
Scalar and vector-valued fragility analysis of typical Algerian RC bridge piers
Fouad Kehila, Mebarek Khelfi, Mounir Ait, et al.
Journal of the Croatian Association of Civil Engineers (2023) Vol. 75, Iss. 06, pp. 577-590
Open Access | Times Cited: 1
Cost Performace of Road Construction Projects in Nigeria
Victor Imohnikhe Aligamhe, Fara Diva Mustapa, Chuwkuemeka Patrick Ogbu
International Journal of Academic Research in Accounting Finance and Management Sciences (2024) Vol. 14, Iss. 1
Open Access
Application of machine learning models for the compressive strength prediction of concrete with glass waste powder
Miljan Kovačević, Ivanka Netinger Grubeša, Marijana Hadzima-Nyarko, et al.
Elsevier eBooks (2024), pp. 123-149
Closed Access
Material Consumption Estimation in the Construction of Concrete Road Bridges Using Machine Learning
Miljan Kovačević, Borko Bulajić
Lecture notes in networks and systems (2021), pp. 324-343
Closed Access | Times Cited: 3
SOLAR IRRADIANCE PREDICTION USING BAGGING DECISION TREE-BASED MACHINE LEARNING
Hayrettin Toylan
Kırklareli Üniversitesi Mühendislik ve Fen Bilimleri Dergisi (2022) Vol. 8, Iss. 1, pp. 15-24
Open Access | Times Cited: 2
Application of Compromise Programming in Evaluation of Localities for Construction of Municipal Landfill
Miljan Kovačević
Lecture notes in networks and systems (2022), pp. 303-325
Closed Access | Times Cited: 1
PRELIMINARY QUANTITY ESTIMATION IN CONSTRUCTION USING MACHINE LEARNING METHODS
Nevena Simić, Predrag Petronijević, Aleksandar Devedžić, et al.
Contemporary Theory and Practice in Construction (2021) Vol. 15, Iss. 1
Open Access | Times Cited: 1
CO2 Prediction of the Undrilled Prospects of the Arthit Field via Geological-Informed Machine Learning
Nutchapol Dendumrongsup, Kittichote Veeranuntawat, Kasinee Suyacom, et al.
International Petroleum Technology Conference (2023)
Closed Access
Page 1

Scroll to top