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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:

Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review
Shuvo Dip Datta, Mobasshira Islam, Md. Habibur Rahman Sobuz, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26888-e26888
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Combined influence of modified recycled concrete aggregate and metakaolin on high-strength concrete production: Experimental assessment and machine learning quantifications with advanced SHAP and PDP analyses
Md. Habibur Rahman Sobuz, Md Mushfiqur Rahman, Rahat Aayaz, et al.
Construction and Building Materials (2025) Vol. 461, pp. 139897-139897
Closed Access | Times Cited: 16
The Role of Artificial Intelligence and Machine Learning in Predicting and Combating Antimicrobial Resistance
Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 423-439
Open Access | Times Cited: 5
Experimental Investigation on Fresh, Hardened and Durability Characteristics of Partially Replaced E-Waste Plastic Concrete: A Sustainable Concept with Machine Learning Approaches
Md. Hamidul Islam, Zannatun Noor Prova, Md. Habibur Rahman Sobuz, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41924-e41924
Open Access | Times Cited: 4
Application of computational technologies for transesterification of waste cooking oil into biodiesel
Omojola Awogbemi, Dawood Desai
Biomass and Bioenergy (2025) Vol. 194, pp. 107620-107620
Open Access | Times Cited: 2
Automating Dataset Generation for Object Detection in the Construction Industry with AI and Robotic Process Automation (RPA)
Erik Araya-Aliaga, Edison Atencio, Fidel Lozano, et al.
Buildings (2025) Vol. 15, Iss. 3, pp. 410-410
Open Access | Times Cited: 1
The application of collective intelligence in the construction industry: a review of the current state, challenges, and opportunities
Shitao Jin
Architectural Engineering and Design Management (2025), pp. 1-26
Closed Access | Times Cited: 1
Potential Applications of Artificial Intelligence (AI) in Managing Polypharmacy in Saudi Arabia: A Narrative Review
Safaa Alsanosi, Sandosh Padmanabhan
Healthcare (2024) Vol. 12, Iss. 7, pp. 788-788
Open Access | Times Cited: 8
Evaluation of textile effluent treatment plant sludge as supplementary cementitious material in concrete using experimental and machine learning approaches
Md Mottakin, Shuvo Dip Datta, Md. Mehrab Hossain, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110627-110627
Closed Access | Times Cited: 8
Innovative hybrid machine learning models for estimating the compressive strength of copper mine tailings concrete
Mana Alyami, Kennedy C. Onyelowe, Ali H. AlAteah, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03869-e03869
Open Access | Times Cited: 8
Behavioral Intention to Adopt Artificial Intelligence in Educational Institutions: A Hybrid Modeling Approach
Ashok Ghimire, Md Ahsan Ullah Imran, Barna Biswas, et al.
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 3, pp. 56-64
Open Access | Times Cited: 7
An explainable machine learning model for encompassing the mechanical strength of polymer-modified concrete
Md. Habibur Rahman Sobuz, M.R. Khatun, Md. Kawsarul Islam Kabbo, et al.
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 7
Predicting mechanical properties of sustainable green concrete using novel machine learning: Stacking and gene expression programming
Muhammad Waqas Ashraf, Adnan Khan, Yongming Tu, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 5
A Framework for the Characterization of Aviation Construction Projects: The Case of UAE
Mariam Abdalla Alketbi, Doraid Dalalah, Fikri Dweiri
Buildings (2024) Vol. 14, Iss. 8, pp. 2384-2384
Open Access | Times Cited: 4
Acrylic acid modified indapamide-based polymer as an effective inhibitor against carbon steel corrosion in CO2-saturated NaCl with variable H2S levels: An electrochemical, weight loss and machine learning study
Kabiru Haruna, Tawfik A. Saleh, Abdulmajid Lawal
Surfaces and Interfaces (2024) Vol. 53, pp. 105065-105065
Closed Access | Times Cited: 4
Optimizing Parkinson’s Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple Voice Recordings via an Automated Artificial Intelligence Pipeline
Zhengwei Yang, Hao Zhou, Sudesh Srivastav, et al.
Data (2025) Vol. 10, Iss. 1, pp. 4-4
Open Access
Experimental and machine learning approaches to investigate the properties of foamed concrete made with surkhi and dolomitic limestone as cement replacements
Goyol Halima Aaron, Md Azree Othuman Mydin, Dina E. Tobbala, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 2
Closed Access
Assessing the critical success factors for the sustainable construction project management of Saudi Arabia
Abdullah Alghuried
Journal of Asian Architecture and Building Engineering (2025), pp. 1-19
Open Access
Artificial Intelligence and Machine Learning in Research and Development
Omar Al Jadaan, Omnia Ibrahim Mohamed, Nowar Nizar Al Ani, et al.
IGI Global eBooks (2025), pp. 53-86
Closed Access
Human-Computer Interaction Empowers Construction Safety Management: Breaking Through Difficulties to Achieving Innovative Leap
Hao Peng, Wang Xiao-lin, Han Wu, et al.
Buildings (2025) Vol. 15, Iss. 5, pp. 771-771
Open Access
Analyzing the compressive strength, eco-strength, and cost–strength ratio of agro-waste-derived concrete using advanced machine learning methods
Muhammad Nasir Amin, Bawar Iftikhar, Kaffayatullah Khan, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2025) Vol. 64, Iss. 1
Open Access
Predicting pile bearing capacity using gene expression programming with SHapley Additive exPlanation interpretation
Adil Khan, Majid Khan, Waseem Akhtar Khan, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Assessment of complexities in implementation of conversational AI for the digital transformation of small construction project
Fadi Althoey, Muhammad Sajjad, Moustafa Houda, et al.
Ain Shams Engineering Journal (2025) Vol. 16, Iss. 6, pp. 103370-103370
Closed Access
Comparative review of intelligent structural safety in building seismic risk mitigation utilizing an integrated artificial intelligence controller
Normaisharah Mamat, Rawad Abdulghafor, Sherzod Turaev, et al.
Deleted Journal (2025) Vol. 7, Iss. 5
Open Access
Impact of Industry 5.0 on the Construction Industry (Construction 5.0): Systematic Literature Review and Bibliometric Analysis
Mahdi Akhavan, Mahsa Alivirdi, Amirhossein Jamalpour, et al.
Buildings (2025) Vol. 15, Iss. 9, pp. 1491-1491
Open Access
Predicting the number of bidders in construction competitive bidding using explainable machine learning models
Bee Lan Oo, Anh Tuan Nguyen, Yonghan Ahn, et al.
Construction Innovation (2025) Vol. 25, Iss. 7, pp. 158-188
Open Access
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