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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:

Digital twin enabled fault detection and diagnosis process for building HVAC systems
Xiang Xie, Jorge Merino, Nicola Moretti, et al.
Automation in Construction (2022) Vol. 146, pp. 104695-104695
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings
Zhengxuan Liu, Xiang Zhang, Ying Sun, et al.
Energy and Buildings (2023) Vol. 297, pp. 113436-113436
Open Access | Times Cited: 56
The advance of digital twin for predictive maintenance: The role and function of machine learning
Chong Chen, Huibin Fu, Yu Zheng, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 581-594
Open Access | Times Cited: 42
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
A review on enhancing energy efficiency and adaptability through system integration for smart buildings
Um-e-Habiba, Ijaz Ahmed, Mohammad Asif, et al.
Journal of Building Engineering (2024) Vol. 89, pp. 109354-109354
Closed Access | Times Cited: 25
A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management
Ruijie Cheng, Lei Hou, Sheng Xu
Buildings (2023) Vol. 13, Iss. 5, pp. 1143-1143
Open Access | Times Cited: 37
Digital twin enabled real-time advanced control of TBM operation using deep learning methods
Limao Zhang, Guo Jing, Xianlei Fu, et al.
Automation in Construction (2023) Vol. 158, pp. 105240-105240
Closed Access | Times Cited: 37
Digital Twin for Fault Detection and Diagnosis of Building Operations: A Systematic Review
Faeze Hodavand, Issa J. Ramaji, Naimeh Sadeghi
Buildings (2023) Vol. 13, Iss. 6, pp. 1426-1426
Open Access | Times Cited: 34
Digital twins for smart building at the facility management stage: a systematic review of enablers, applications and challenges
Frank Ato Ghansah
Smart and Sustainable Built Environment (2024)
Open Access | Times Cited: 12
BIM-based automated fault detection and diagnostics of HVAC systems in commercial buildings
Arash Hosseini Gourabpasi, Mazdak Nik‐Bakht
Journal of Building Engineering (2024) Vol. 87, pp. 109022-109022
Open Access | Times Cited: 9
Ontologies in digital twins: A systematic literature review
Erkan Karabulut, Salvatore F. Pileggi, Paul Groth, et al.
Future Generation Computer Systems (2023) Vol. 153, pp. 442-456
Open Access | Times Cited: 19
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
Integration of Digital Twin and Circular Economy in the Construction Industry
Xianhai Meng, Simran Das, Junyu Meng
Sustainability (2023) Vol. 15, Iss. 17, pp. 13186-13186
Open Access | Times Cited: 15
Enhancing digital twin efficiency in indoor environments: Virtual sensor-driven optimization of physical sensor combinations
Hakjong Shin, Young Hoon Kwak
Automation in Construction (2024) Vol. 161, pp. 105326-105326
Closed Access | Times Cited: 6
Digital Twin Models: Functions, Challenges, and Industry Applications
Rakiba Rayhana, Ling Bai, Gaozhi Xiao, et al.
IEEE Journal of Radio Frequency Identification (2024) Vol. 8, pp. 282-321
Closed Access | Times Cited: 6
Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102681-102681
Closed Access | Times Cited: 5
Review of Challenges and Key Enablers in Energy Systems towards Net Zero Target: Renewables, Storage, Buildings, & Grid Technologies.
Malcolm Isaac Fernandez, Yun Ii Go, M. L. Dennis Wong, et al.
Heliyon (2024) Vol. 10, Iss. 23, pp. e40691-e40691
Open Access | Times Cited: 5
Nonintrusive in-situ modeling for unobserved virtual models in digital twin-enabled building HVAC systems: A one-year comparison of data-driven and physics-based approaches in a living laboratory
Yuxin Li, Jeyoon Lee, Jiteng Li, et al.
Journal of Building Engineering (2025), pp. 111811-111811
Closed Access
Controls of HVAC systems in digital twins – comparative framework and case study on the performance gap
Karl Klaus Walther, Marco Molinari, Karsten Voss
Journal of Building Performance Simulation (2025), pp. 1-18
Open Access
Cross-domain bearing fault diagnosis under missing labels with uncertainty modeling and digital twin correction
Z. Zhou, Wenhua Chen
Measurement (2025), pp. 116869-116869
Closed Access
From blueprint to reality: how digital twins are shaping the architecture, engineering, and construction landscape
Aslıhan Şenel Solmaz
Journal of Innovative Engineering and Natural Science (2025) Vol. 5, Iss. 1, pp. 399-435
Open Access
Autoencoder reconstruction residual-Wasserstein distance based in-situ calibration for indoor environment spatial expansion virtual sensors
Hakjong Shin, Seng‐Kyoun Jo, Won-Kyu Choi
Energy and Buildings (2025), pp. 115452-115452
Open Access
Digital twin model for chiller fault diagnosis based on SSAE and transfer learning
Xin Ma, Fan Chen, Zhihan Wang, et al.
Building and Environment (2023) Vol. 243, pp. 110718-110718
Closed Access | Times Cited: 14
Developing a Skilled Workforce for Future Industry Demand: The Potential of Digital Twin-Based Teaching and Learning Practices in Engineering Education
M.A. Hazrat, N.M.S. Hassan, Ashfaque Ahmed Chowdhury, et al.
Sustainability (2023) Vol. 15, Iss. 23, pp. 16433-16433
Open Access | Times Cited: 13
Integrated building fault detection and diagnosis using data modeling and Bayesian networks
Tianyun Gao, Sylvain Marié, Patrick Béguery, et al.
Energy and Buildings (2024) Vol. 306, pp. 113889-113889
Open Access | Times Cited: 4
A high-fidelity digital twin predictive modeling of air-source heat pump using FCPM-SBLS algorithm
Ruixin Lv, Zhongyuan Yuan, Bo Lei
Journal of Building Engineering (2024) Vol. 87, pp. 109082-109082
Closed Access | Times Cited: 4
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