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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:

An Adapted Model of Cognitive Digital Twins for Building Lifecycle Management
İbrahim Yitmen, Sepehr Alizadehsalehi, İlknur Akıner, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4276-4276
Open Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

Digital twin modeling
Fei Tao, Bin Xiao, Qinglin Qi, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 372-389
Closed Access | Times Cited: 535
Digital Twin Technology Challenges and Applications: A Comprehensive Review
Diego M. Botín-Sanabria, Adriana-Simona Mihăiţă, Rodrigo E. Peimbert-García, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1335-1335
Open Access | Times Cited: 490
The emergence of cognitive digital twin: vision, challenges and opportunities
Xiaochen Zheng, Jinzhi Lu, Dimitris Kiritsis
International Journal of Production Research (2021) Vol. 60, Iss. 24, pp. 7610-7632
Open Access | Times Cited: 243
A review of physics-based machine learning in civil engineering
Shashank Reddy Vadyala, Sai Nethra Betgeri, John C. Matthews, et al.
Results in Engineering (2021) Vol. 13, pp. 100316-100316
Open Access | Times Cited: 149
Digital twin-enabled smart modular integrated construction system for on-site assembly
Yishuo Jiang, Ming Li, Daqiang Guo, et al.
Computers in Industry (2021) Vol. 136, pp. 103594-103594
Closed Access | Times Cited: 117
An investigation for integration of deep learning and digital twins towards Construction 4.0
Mergen Kor, İbrahim Yitmen, Sepehr Alizadehsalehi
Smart and Sustainable Built Environment (2022) Vol. 12, Iss. 3, pp. 461-487
Open Access | Times Cited: 98
Construction 4.0, Industry 4.0, and Building Information Modeling (BIM) for Sustainable Building Development within the Smart City
Yali Chen, Dan Huang, Zhen Liu, et al.
Sustainability (2022) Vol. 14, Iss. 16, pp. 10028-10028
Open Access | Times Cited: 81
Digital Twin and Industry 4.0 Enablers in Building and Construction: A Survey
Hu Wei, Kendrik Yan Hong Lim, Yiyu Cai
Buildings (2022) Vol. 12, Iss. 11, pp. 2004-2004
Open Access | Times Cited: 71
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
From simple digital twin to complex digital twin part II: Multi-scenario applications of digital twin shop floor
Wenjie Jia, Wei Wang, Zhenzu Zhang
Advanced Engineering Informatics (2023) Vol. 56, pp. 101915-101915
Closed Access | Times Cited: 47
A review of building digital twins to improve energy efficiency in the building operational stage
Andres Sebastian Cespedes-Cubides, Muhyiddine Jradi
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 27
Infrastructure digital twin technology: A new paradigm for future construction industry
Taofeeq Durojaye Moshood, James Olabode Bamidele Rotimi, Wajiha Shahzad, et al.
Technology in Society (2024) Vol. 77, pp. 102519-102519
Open Access | Times Cited: 27
A Systematic Review of the Digital Transformation of the Building Construction Industry
Khalid K. Naji, Murat Gündüz, Fahid Hamad Alhenzab, et al.
IEEE Access (2024) Vol. 12, pp. 31461-31487
Open Access | Times Cited: 23
A survey-based approach of framework development for improving the application of internet of things in the construction industry of Malaysia
Muhammad Ali Musarat, Wesam Salah Alaloul, Abdul Mateen Khan, et al.
Results in Engineering (2024) Vol. 21, pp. 101823-101823
Open Access | Times Cited: 19
Leveraging cognitive digital twins in industry 5.0 for achieving sustainable development goal 9: An exploration of inclusive and sustainable industrialization strategies
Rishabh Sharma, Himanshu Gupta
Journal of Cleaner Production (2024) Vol. 448, pp. 141364-141364
Closed Access | Times Cited: 17
Intelligent decision support systems in construction engineering: An artificial intelligence and machine learning approaches
Ahsan Waqar
Expert Systems with Applications (2024) Vol. 249, pp. 123503-123503
Closed Access | Times Cited: 16
Towards digital architecture, engineering, and construction (AEC) industry through virtual design and construction (VDC) and digital twin
Hamed Nabizadeh Rafsanjani, Amir Hossein Nabizadeh
Energy and Built Environment (2021) Vol. 4, Iss. 2, pp. 169-178
Open Access | Times Cited: 78
Incremental Digital Twin Conceptualisations Targeting Data-Driven Circular Construction
P. Mêda, Diego Calvetti, Eilif Hjelseth, et al.
Buildings (2021) Vol. 11, Iss. 11, pp. 554-554
Open Access | Times Cited: 73
Toward Smart-Building Digital Twins: BIM and IoT Data Integration
Dagimawi D. Eneyew, Miriam A. M. Capretz, Girma Bitsuamlak
IEEE Access (2022) Vol. 10, pp. 130487-130506
Closed Access | Times Cited: 66
Digital Twins in the Construction Industry: A Perspective of Practitioners and Building Authority
Ashtarout Ammar, Hala Nassereddine, Nadine AbdulBaky, et al.
Frontiers in Built Environment (2022) Vol. 8
Open Access | Times Cited: 65
Digital Twins and Blockchain technologies for building lifecycle management
Nana Akua Adu-Amankwa, Farzad Pour Rahimian, Nashwan Dawood, et al.
Automation in Construction (2023) Vol. 155, pp. 105064-105064
Open Access | Times Cited: 37
Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review
Habib Sadri, İbrahim Yitmen, Lavinia Chiara Tagliabue, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3713-3713
Open Access | Times Cited: 30
Architectural Reply for Smart Building Design Concepts Based on Artificial Intelligence Simulation Models and Digital Twins
Amjad Almusaed, İbrahim Yitmen
Sustainability (2023) Vol. 15, Iss. 6, pp. 4955-4955
Open Access | Times Cited: 29
Artificial Intelligence (AI) and Internet of Things (IoT) - based sensors for monitoring and controlling in architecture, engineering, and construction: applications, challenges, and opportunities
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 24
A Review of Digital Twin Technologies for Enhanced Sustainability in the Construction Industry
Zichao Zhang, Zhuangkun Wei, Samuel Court, et al.
Buildings (2024) Vol. 14, Iss. 4, pp. 1113-1113
Open Access | Times Cited: 14
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