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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:

Improving building occupant comfort through a digital twin approach: A Bayesian network model and predictive maintenance method
Haidar Hosamo Hosamo, Henrik Kofoed Nielsen, Dimitrios Kraniotis, et al.
Energy and Buildings (2023) Vol. 288, pp. 112992-112992
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Digital Twins in the Construction Industry: A Comprehensive Review of Current Implementations, Enabling Technologies, and Future Directions
Hossein Omrany, Karam M. Al-Obaidi, A. Sakeer Husain, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10908-10908
Open Access | Times Cited: 62
Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments
Amjad Almusaed, İbrahim Yitmen, Asaad Almssad
Sustainability (2023) Vol. 15, Iss. 18, pp. 13464-13464
Open Access | Times Cited: 45
Developing an integrative framework for digital twin applications in the building construction industry: A systematic literature review
Wuyan Long, Zhikang Bao, Ke Chen, et al.
Advanced Engineering Informatics (2024) Vol. 59, pp. 102346-102346
Closed Access | Times Cited: 29
An integrated framework for sustainable and efficient building maintenance operations aligning with climate change, SDGs, and emerging technology
Ali Hauashdh, Sasitharan Nagapan, Junaidah Jailani, et al.
Results in Engineering (2024) Vol. 21, pp. 101822-101822
Open Access | Times Cited: 26
State of the art review on the HVAC occupant-centric control in different commercial buildings
Guanying Huang, S. Thomas Ng, Dezhi Li, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110445-110445
Closed Access | Times Cited: 26
Application and enabling digital twin technologies in the operation and maintenance stage of the AEC industry: A literature review
Anshan Zhang, Jian Yang, Feiliang Wang
Journal of Building Engineering (2023) Vol. 80, pp. 107859-107859
Closed Access | Times Cited: 21
Building sustainability through a novel exploration of dynamic LCA uncertainty: Overview and state of the art
Haidar Hosamo, Guilherme B. A. Coelho, Elsa Buvik, et al.
Building and Environment (2024) Vol. 264, pp. 111922-111922
Open Access | Times Cited: 10
A text analytic framework for gaining insights on the integration of digital twins and machine learning for optimizing indoor building environmental performance
Stylianos Karatzas, Grigorios Papageorgiou, Vasiliki Lazari, et al.
Developments in the Built Environment (2024) Vol. 18, pp. 100386-100386
Open Access | Times Cited: 9
A Review on Machine/Deep Learning Techniques Applied to Building Energy Simulation, Optimization and Management
Francesca Villano, Gerardo Maria Mauro, Alessia Pedace
Thermo (2024) Vol. 4, Iss. 1, pp. 100-139
Open Access | Times Cited: 8
Chiller energy prediction in commercial building: A metaheuristic-Enhanced deep learning approach
Mohd Herwan Sulaiman, Zuriani Mustaffa
Energy (2024) Vol. 297, pp. 131159-131159
Closed Access | Times Cited: 8
Utilizing the Kolmogorov-Arnold Networks for Chiller Energy Consumption Prediction in Commercial Building
Mohd Herwan Sulaiman, Zuriani Mustaffa, Muhammad Salihin Saealal, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110475-110475
Closed Access | Times Cited: 8
Simultaneous in-situ calibration for physical and virtual sensors towards digital twin-enabled building operations
Jabeom Koo, Sungmin Yoon
Advanced Engineering Informatics (2023) Vol. 59, pp. 102239-102239
Closed Access | Times Cited: 16
Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices
Nur Haninie Abd Wahab, Khairunnisa Hasikin‬, Khin Wee Lai, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1943-e1943
Open Access | Times Cited: 5
Integrating few-shot personalized thermal comfort model and reinforcement learning for HVAC demand response optimization
Yongxin Su, Xiaohua Zou, Mao Tan, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109509-109509
Closed Access | Times Cited: 5
Predicting the strength of alkali-activated masonry blocks using machine learning models: geopolymer mortar with quarry waste, rice husk ash, and eggshell ash
Anis Ahamed, S. Sakeek Yamani, L. S. Dissanayaka, et al.
Journal of Building Pathology and Rehabilitation (2025) Vol. 10, Iss. 1
Closed Access
Probabilistic Health Monitoring and Maintenance Scheduling for Nuclear Power Systems
Ahmad Amer, Panagiotis Tsilifis, Abhinav Saxena, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access
Machine learning-based prediction of thermal comfort: exploring building types, climate, ventilation strategies, and seasonal variations
Ali Berkay Avcı
Building Research & Information (2025), pp. 1-18
Closed Access
Hybrid Predictive Maintenance for Building Systems: Integrating Rule-Based and Machine Learning Models for Fault Detection Using a High-Resolution Danish Dataset
Silvia Mazzetto
Buildings (2025) Vol. 15, Iss. 4, pp. 630-630
Open Access
Towards building digital twin: A computer vision enabled approach jointly using multi-camera and building information model
Xiaoping Zhou, Xiang Li, Yingying Zhu, et al.
Energy and Buildings (2025), pp. 115523-115523
Closed Access
Sustainable innovations in digital twin technology: a systematic review about energy efficiency and indoor environment quality in built environment
N. Venkateswarlu, Mahenthiran Sathiyamoorthy
Frontiers in Built Environment (2025) Vol. 11
Open Access
AI-Driven Integration of Digital Twins and Blockchain for Smart Building Management Systems: A Multi-Stage Empirical Study
Habib Sadri
Journal of Building Engineering (2025), pp. 112439-112439
Open Access
Applications and Trends of Machine Learning in Building Energy Optimization: A Bibliometric Analysis
Jingyi Liu, J.F. Chen
Buildings (2025) Vol. 15, Iss. 7, pp. 994-994
Open Access
Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments
Amjad Almusaed, İbrahim Yitmen, Asaad Almssad
(2023)
Open Access | Times Cited: 12
Building performance optimization through sensitivity Analysis, and economic insights using AI
Haidar Hosamo Hosamo, Guilherme B. A. Coelho, Christian Nordahl Rolfsen, et al.
Energy and Buildings (2024) Vol. 325, pp. 114999-114999
Open Access | Times Cited: 4
A Meta-Survey on Intelligent Energy-Efficient Buildings
Md Babul Islam, Antonio Guerrieri, Raffaele Gravina, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 8, pp. 83-83
Open Access | Times Cited: 3
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