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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:

Data-driven predictive maintenance planning framework for MEP components based on BIM and IoT using machine learning algorithms
Jack C.P. Cheng, Weiwei Chen, Keyu Chen, et al.
Automation in Construction (2020) Vol. 112, pp. 103087-103087
Closed Access | Times Cited: 376

Showing 1-25 of 376 citing articles:

Roles of artificial intelligence in construction engineering and management: A critical review and future trends
Yue Pan, Limao Zhang
Automation in Construction (2020) Vol. 122, pp. 103517-103517
Closed Access | Times Cited: 741
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
Zeki Murat Çınar, Abubakar Abdussalam Nuhu, Qasim Zeeshan, et al.
Sustainability (2020) Vol. 12, Iss. 19, pp. 8211-8211
Open Access | Times Cited: 505
Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges
Jovani Dalzochio, Rafael Kunst, Edison Pignaton de Freitas, et al.
Computers in Industry (2020) Vol. 123, pp. 103298-103298
Closed Access | Times Cited: 382
A BIM-data mining integrated digital twin framework for advanced project management
Yue Pan, Limao Zhang
Automation in Construction (2021) Vol. 124, pp. 103564-103564
Closed Access | Times Cited: 352
Structural health monitoring of civil engineering structures by using the internet of things: A review
Mayank Mishra, Paulo B. Lourénço, G. V. Ramana
Journal of Building Engineering (2022) Vol. 48, pp. 103954-103954
Closed Access | Times Cited: 300
From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry
Min Deng, Carol C. Menassa, Vineet R. Kamat
Journal of Information Technology in Construction (2021) Vol. 26, pp. 58-83
Open Access | Times Cited: 286
Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions
Yue Pan, Limao Zhang
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 2, pp. 1081-1110
Closed Access | Times Cited: 182
Blockchain-Enabled IoT-BIM Platform for Supply Chain Management in Modular Construction
Xiao Li, Weisheng Lu, Fan Xue, et al.
Journal of Construction Engineering and Management (2021) Vol. 148, Iss. 2
Closed Access | Times Cited: 160
Leveraging Digital Twin for Sustainability Assessment of an Educational Building
Lavinia Chiara Tagliabue, Fulvio Re Cecconi, Sebastiano Maltese, et al.
Sustainability (2021) Vol. 13, Iss. 2, pp. 480-480
Open Access | Times Cited: 142
BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review
Corentin Coupry, Sylvain Noblecourt, Paul Richard, et al.
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 6810-6810
Open Access | Times Cited: 140
Analysis of factors affecting IoT-based smart hospital design
Banu Çalış Uslu, Ertuğ Okay, Erkan Dursun
Journal of Cloud Computing Advances Systems and Applications (2020) Vol. 9, Iss. 1
Open Access | Times Cited: 137
Modelling the relationship between Building Information Modelling (BIM) implementation barriers, usage and awareness on building project lifecycle
Oludolapo Ibrahim Olanrewaju, Ahmed Farouk Kineber, Nicholas Chileshe, et al.
Building and Environment (2021) Vol. 207, pp. 108556-108556
Closed Access | Times Cited: 130
Building Information Modelling and Internet of Things Integration for Facility Management—Literature Review and Future Needs
Antonino Mannino, Mario Claudio Dejaco, Fulvio Re Cecconi
Applied Sciences (2021) Vol. 11, Iss. 7, pp. 3062-3062
Open Access | Times Cited: 121
Design and Implementation of an ML and IoT Based Adaptive Traffic-Management System for Smart Cities
Umesh Kumar Lilhore, Agbotiname Lucky Imoize, Chun‐Ta Li, et al.
Sensors (2022) Vol. 22, Iss. 8, pp. 2908-2908
Open Access | Times Cited: 114
Technologies for digital twin applications in construction
Valerian Vanessa Tuhaise, J.H.M. Tah, Fonbeyin Henry Abanda
Automation in Construction (2023) Vol. 152, pp. 104931-104931
Open Access | Times Cited: 113
Challenges in predictive maintenance – A review
Pedro Nunes, José Santos, Eugénio M. Rocha
CIRP journal of manufacturing science and technology (2022) Vol. 40, pp. 53-67
Open Access | Times Cited: 108
Predictive Maintenance Planning for Industry 4.0 Using Machine Learning for Sustainable Manufacturing
Mustufa Haider Abidi, Muneer Khan Mohammed, Hisham Alkhalefah
Sustainability (2022) Vol. 14, Iss. 6, pp. 3387-3387
Open Access | Times Cited: 100
A Review of the Digital Twin Technology in the AEC‐FM Industry
Haidar Hosamo Hosamo, Aksa Imran, Juan Cardenas-Cartagena, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 91
Integrated applications of building information modeling and artificial intelligence techniques in the AEC/FM industry
Fan Zhang, Albert P.C. Chan, Amos Darko, et al.
Automation in Construction (2022) Vol. 139, pp. 104289-104289
Open Access | Times Cited: 78
Digital twin with Machine learning for predictive monitoring of CO2 equivalent from existing buildings
Arva Arsiwala, Faris Elghaish, Mohammed Zoher
Energy and Buildings (2023) Vol. 284, pp. 112851-112851
Open Access | Times Cited: 75
Digital twin technology for thermal comfort and energy efficiency in buildings: A state-of-the-art and future directions
Victor Adetunji Arowoiya, Robert C. Moehler, Yihai Fang
Energy and Built Environment (2023) Vol. 5, Iss. 5, pp. 641-656
Open Access | Times Cited: 75
Digital twinning of civil infrastructures: Current state of model architectures, interoperability solutions, and future prospects
Hossein Naderi, Alireza Shojaei
Automation in Construction (2023) Vol. 149, pp. 104785-104785
Closed Access | Times Cited: 65
Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends
Ayşegül Uçar, Mehmet Karaköse, Necim Kırımça
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 898-898
Open Access | Times Cited: 55
Digital twin and its potential applications in construction industry: State-of-art review and a conceptual framework
Shuaiming Su, Ray Y. Zhong, Yishuo Jiang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102030-102030
Closed Access | Times Cited: 49
BIM and IoT data fusion: The data process model perspective
Xiongwei Huang, Yongping Liu, Lizhen Huang, et al.
Automation in Construction (2023) Vol. 149, pp. 104792-104792
Open Access | Times Cited: 43
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