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 site overhead costs with the use of artificial neural network based model
Agnieszka Leśniak, Michał Juszczyk
Archives of Civil and Mechanical Engineering (2018) Vol. 18, Iss. 3, pp. 973-982
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Cost Calculation of Construction Projects Including Sustainability Factors Using the Case Based Reasoning (CBR) Method
Agnieszka Leśniak, Krzysztof Zima
Sustainability (2018) Vol. 10, Iss. 5, pp. 1608-1608
Open Access | Times Cited: 94

Designing the Composition of Cement Stabilized Rammed Earth Using Artificial Neural Networks
Hubert Anysz, Piotr Narloch
Materials (2019) Vol. 12, Iss. 9, pp. 1396-1396
Open Access | Times Cited: 58

Artificial Neural Networks for Sustainable Development of the Construction Industry
Mohd. Ahmed, Saeed Alqadhi, Javed Mallick, et al.
Sustainability (2022) Vol. 14, Iss. 22, pp. 14738-14738
Open Access | Times Cited: 31

Application of Artificial Neural Networks in Construction Management: A Scientometric Review
Hongyu Xu, Ruidong Chang, Min Pan, et al.
Buildings (2022) Vol. 12, Iss. 7, pp. 952-952
Open Access | Times Cited: 28

Modelling Construction Site Cost Index Based on Neural Network Ensembles
Michał Juszczyk, Agnieszka Leśniak
Symmetry (2019) Vol. 11, Iss. 3, pp. 411-411
Open Access | Times Cited: 41

FORECASTING OF SPORTS FIELDS CONSTRUCTION COSTS AIDED BY ENSEMBLES OF NEURAL NETWORKS
Michał Juszczyk, Krzysztof Zima, Wojciech Lelek
Journal of Civil Engineering and Management (2019) Vol. 25, Iss. 7, pp. 715-729
Open Access | Times Cited: 37

Risk Assessment of Additional Works in Railway Construction Investments Using the Bayes Network
Agnieszka Leśniak, Filip Janowiec
Sustainability (2019) Vol. 11, Iss. 19, pp. 5388-5388
Open Access | Times Cited: 36

Application of Artificial Neural Networks in Construction Management: Current Status and Future Directions
Shicheng Liu, Ruidong Chang, Jian Zuo, et al.
Applied Sciences (2021) Vol. 11, Iss. 20, pp. 9616-9616
Open Access | Times Cited: 23

Analysing energy poverty in warm climate zones in Spain through artificial intelligence
David Bienvenido-Huertas, Daniel Sánchez-García, David Marín García, et al.
Journal of Building Engineering (2023) Vol. 68, pp. 106116-106116
Closed Access | Times Cited: 9

Shear Resistance Prediction of Post-fire Reinforced Concrete Beams Using Artificial Neural Network
Bin Cai, Longfei Xu, Feng Fu
International Journal of Concrete Structures and Materials (2019) Vol. 13, Iss. 1
Open Access | Times Cited: 28

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: 23

Teaching learning-based whale optimization algorithm for multi-layer perceptron neural network training
Yongquan Zhou, Yanbiao Niu, Qifang Luo, et al.
Mathematical Biosciences & Engineering (2020) Vol. 17, Iss. 5, pp. 5987-6025
Open Access | Times Cited: 21

Enhancing accuracy in construction overhead cost estimation: a novel integration of activity-based costing and building information modelling
M Naderi, Ahad Nazari, Ali Shafaat, et al.
Smart and Sustainable Built Environment (2024)
Closed Access | Times Cited: 2

Selfish herds optimization algorithm with orthogonal design and information update for training multi-layer perceptron neural network
Ruxin Zhao, Yongli Wang, Peng Hu, et al.
Applied Intelligence (2019) Vol. 49, Iss. 6, pp. 2339-2381
Closed Access | Times Cited: 20

A systems thinking approach for incremental reduction of non-physical waste
Temitope Omotayo, Ayokunle Olubunmi Olanipekun, Lovelin Obi, et al.
Built Environment Project and Asset Management (2020) Vol. 10, Iss. 4, pp. 509-528
Open Access | Times Cited: 20

Examining the impact of relationship-related and process-related factors on project success: the paradigm of Stimulus-Organism-Response
Xiaolin Li, Yilin Yin, Ruirui Zhang
Journal of Asian Architecture and Building Engineering (2020) Vol. 21, Iss. 1, pp. 93-109
Open Access | Times Cited: 14

Quantitative Risk Assessment in Construction Disputes Based on Machine Learning Tools
Hubert Anysz, Magdalena Apollo, Beata Grzyl
Symmetry (2021) Vol. 13, Iss. 5, pp. 744-744
Open Access | Times Cited: 13

Assessing Project Resilience Through Reference Class Forecasting and Radial Basis Function Neural Network
Shu Chen, Chen Wang, Kesheng Yan
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10433-10433
Open Access | Times Cited: 1

Artificial neural networks as a tool for selecting the parameters of prototypical under sleeper pads produced from recycled rubber granulate
Cezary Kraśkiewicz, Hubert Anysz, Artur Zbiciak, et al.
Journal of Cleaner Production (2023) Vol. 405, pp. 136975-136975
Open Access | Times Cited: 4

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

Development of Cost Estimation Models Based on ANN Ensembles and the SVM Method
Michał Juszczyk
Civil And Environmental Engineering Reports (2020) Vol. 30, Iss. 3, pp. 48-67
Open Access | Times Cited: 10

Application of Game Theory against Nature in Supporting Bid Pricing in Construction
Łukasz Rzepecki, Piotr Jaśkowski
Symmetry (2021) Vol. 13, Iss. 1, pp. 132-132
Open Access | Times Cited: 10

Novel application of neural network modelling for multicomponent herbal medicine optimization
Yongshen Ren, Lei Lei, Xin Deng, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 10

Residential buildings conceptual cost estimates with the use of support vector regression
Michał Juszczyk
MATEC Web of Conferences (2018) Vol. 196, pp. 04090-04090
Open Access | Times Cited: 9

The Last State of Artificial Intelligence in Project Management
Mohammad Reza Davahli
arXiv (Cornell University) (2020)
Open Access | Times Cited: 8

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