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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:

Using machine learning to analyze and predict construction task productivity
Laura Flórez, Zhiyuan Song, Jean C. Cortissoz
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 12, pp. 1602-1616
Open Access | Times Cited: 21

Showing 21 citing articles:

Construction Delay Prediction Model Using a Relationship-Aware Multihead Graph Attention Network
Fatemeh Mostofi, Onur Behzat Tokdemir, Vedat Toğan
Journal of Management in Engineering (2025) Vol. 41, Iss. 3
Closed Access
Development and comparative of a new meta-ensemble machine learning model in predicting construction labor productivity
İbrahim Karataş, Abdülkadir Budak
Engineering Construction & Architectural Management (2022) Vol. 31, Iss. 3, pp. 1123-1144
Closed Access | Times Cited: 21
A deep natural language processing‐based method for ontology learning of project‐specific properties from building information models
Mengtian Yin, Llewellyn Tang, Chris Webster, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 1, pp. 20-45
Open Access | Times Cited: 11
Automatic Identification of the Working State of High-Rise Building Machine Based on Machine Learning
Xi Pan, Tingsheng Zhao, Xiaowei Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11411-11411
Open Access | Times Cited: 8
Lean Construction Strategies Supported by Artificial Intelligence Techniques for Construction Project Management—A Review
Lesly Velezmoro-Abanto, Rocío Cuba-Lagos, Bryan Taico-Valverde, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 03, pp. 99-114
Open Access | Times Cited: 2
Application of Data Science in the US Commercial Construction Industry: Current Trends and Future Opportunities
Olayinka Omole, Somik Ghosh
International Journal of Construction Education and Research (2024), pp. 1-24
Closed Access | Times Cited: 1
From raw to refined: Data preprocessing for construction machine learning (ML), deep learning (DL), and reinforcement learning (RL) models
SeyedeZahra Golazad, Abbas Mohammadi, Abbas Rashidi, et al.
Automation in Construction (2024) Vol. 168, pp. 105844-105844
Closed Access | Times Cited: 1
Application of Machine Learning in Construction Productivity at Activity Level: A Critical Review
Ying Terk Lim, Wen Yi, Huiwen Wang
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10605-10605
Open Access | Times Cited: 1
Construction Work Efficiency Analysis—Application of Probabilistic Approach and Machine Learning for Formworks Assembly
Michał Juszczyk
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5780-5780
Open Access | Times Cited: 3
DResInceptionNasNet method for offline grounding detection of distribution networks
Linfei Yin, Jiahao Huang
Applied Soft Computing (2023) Vol. 149, pp. 110945-110945
Closed Access | Times Cited: 2
An automated machine learning approach for classifying infrastructure cost data
Daniel Adanza Dopazo, Lamine Mahdjoubi, Bill Gething, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 7, pp. 1061-1076
Open Access | Times Cited: 2
Machine Learning for Improving Construction Productivity: A Systematic Literature Review
Asad Sultan, Zhili Gao
EPiC series in built environment (2024) Vol. 5, pp. 558-549
Open Access
A Literature Review on Affecting Factors and Future Outlook of Construction Productivity
Tianqing Han, Shuichi Ishida
International Journal of Japan Association for Management Systems (2024) Vol. 16, Iss. 1, pp. 9-22
Open Access
Smart Techniques Promoting Sustainability in Construction Engineering and Management
Song-Shun Lin, Shui‐Long Shen, Annan Zhou, et al.
Engineering (2024)
Open Access
Artificial Neural Networks (ANNs) and Machine Learning (ML) Modeling Employee Behavior with Management Towards the Economic Advancement of Workers
Chulhee Lee
Sustainability (2024) Vol. 16, Iss. 21, pp. 9516-9516
Open Access
Integrating expert insights and data analytics for enhanced construction productivity monitoring and control: a machine learning approach
Elyar Pourrahimian, Amira Eltahan, Diana Salhab, et al.
Engineering Construction & Architectural Management (2024)
Closed Access
Forecasting slipform labor productivity in the construction of reinforced concrete chimneys
Şahin Tolga Güvel
Ain Shams Engineering Journal (2024), pp. 103192-103192
Open Access
Postural Ergonomic Assessment of Construction Workers Based on Human 3D Pose Estimation and Machine Learning
Yidan Tao, Hao Hu, Feng Xu, et al.
2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2023), pp. 0168-0172
Closed Access | Times Cited: 1
Co-Designing with Artificial Intelligence. Exploring the use of machine learning in the AEC industry
Quintin Blaas
(2023)
Open Access
Using Hybrid Artificial Intelligence Optimization Method to Predict Construction Labour Productivity
Efkan Efekan, Tolga Çelik, Onur Behzat Tokdemir
Lecture notes in civil engineering (2023), pp. 1624-1630
Closed Access
End-to-end GRU model for construction crew management
Zehao Song, L. Florez-Perez
(2022), pp. 196-205
Open Access
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