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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 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: 33

Showing 1-25 of 33 citing articles:

Digital twins in the built environment: Definition, applications, and challenges
Wassim AlBalkhy, Dorra Karmaoui, Laure Ducoulombier, et al.
Automation in Construction (2024) Vol. 162, pp. 105368-105368
Closed Access | Times Cited: 32
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: 24
AI in HVAC fault detection and diagnosis: A systematic review
Jian Bi, Hua Wang, Enbo Yan, et al.
Energy Reviews (2024) Vol. 3, Iss. 2, pp. 100071-100071
Open Access | Times Cited: 22
Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement
Haowen Xu, Olufemi A. Omitaomu, Soheil Sabri, et al.
Urban Informatics (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 14
Exploring the Benefits and Limitations of Digital Twin Technology in Building Energy
Faham Tahmasebinia, Lin Lin, Shuo Wu, et al.
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8814-8814
Open Access | Times Cited: 38
Digital twin-driven prognostics and health management for industrial assets
Bin Xiao, Jingshu Zhong, Xiangyu Bao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
A digital twin solution for fault detection in time-critical IIoT applications
Amish Ranpariya, Sangeeta Sharma
Journal of Simulation (2025), pp. 1-14
Closed Access
AI-Driven Design Optimization for Sustainable Buildings: A Systematic Review
Piragash Manmatharasan, Girma Bitsuamlak, Katarina Grolinger
Energy and Buildings (2025), pp. 115440-115440
Open Access
Evaluating materiality disclosure in sustainability reports: A study of North American construction and engineering firms
Juan Pang, Andrea Valquiria Sanchez, Jonathan Landsman, et al.
Journal of Sustainability Outreach (2025) Vol. 5, Iss. 1, pp. 1-12
Closed Access
Hybrid-CGAN: A Hybrid Approach Combining Simulation and Generative Adversarial Networks for Fault Detection and Diagnosis in Buildings
Jintong Han, Adrian Chong
Energy and Buildings (2025), pp. 115531-115531
Closed Access
A metro train air conditioning system fault diagnosis method based on explainable artificial intelligence: Considering interpretability and generalization
Minhui Jiang, Huanxin Chen, Chuang Yang
International Journal of Refrigeration (2025)
Closed Access
Industrial applications of digital twins: A systematic investigation based on bibliometric analysis
Jiangzhuo Ren, Rafiq Ahmad, Dabing Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103264-103264
Closed Access
The Concept of Creating Digital Twins of Bridges Using Load Tests
Marcin Jasiński, Piotr Łaziński, Dawid Piotrowski
Sensors (2023) Vol. 23, Iss. 17, pp. 7349-7349
Open Access | Times Cited: 12
Advanced Energy Performance Modelling: Case Study of an Engineering and Technology Precinct
Faham Tahmasebinia, Lin Lin, Shuo Wu, et al.
Buildings (2024) Vol. 14, Iss. 6, pp. 1774-1774
Open Access | Times Cited: 4
A new integrated framework to fault detection and diagnosis of air handling unit: Emphasizing the impact of symptoms
Jae Hwan, Jun Kyu Park, Chang Hyeon, et al.
Energy and Buildings (2024) Vol. 319, pp. 114474-114474
Closed Access | Times Cited: 4
Semantic digital twin creation of building systems through time series based metadata inference – A review
Rebekka Benfer, Jochen Müller
Energy and Buildings (2024) Vol. 321, pp. 114637-114637
Open Access | Times Cited: 4
Digital Twin-Enabled Internet of Vehicles Applications
Junting Gao, Chunrong Peng, Tsutomu Yoshinaga, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1263-1263
Open Access | Times Cited: 2
Challenges and opportunities for the application of digital twins in hard-to-abate industries: a review
Muhammad Azam Hafeez, Alberto Procacci, Axel Coussement, et al.
Resources Conservation and Recycling (2024) Vol. 209, pp. 107796-107796
Closed Access | Times Cited: 2
Deployment of crowdsourced occupant data to support fault detection and diagnosis in buildings
Pedram Nojedehi, Burak Gunay, William O’Brien
Building and Environment (2023) Vol. 242, pp. 110612-110612
Closed Access | Times Cited: 7
IoT-based digital twin best practices for reducing operational carbon in building retrofitting: a mixed-method approach
Chukwuka Christian Ohueri, Md Asrul Nasid Masrom, Hadina Habil, et al.
Engineering Construction & Architectural Management (2023)
Closed Access | Times Cited: 7
Showcasing a digital twin for higher educational buildings: developing the concept toward human centricity
Katarina Bäcklund, Per Lundqvist, Marco Molinari
Frontiers in Built Environment (2024) Vol. 10
Open Access | Times Cited: 1
Asset maintenance in Australian commercial buildings
J. D. West, Ana Catarina Jorge Evangelista, Milind Siddhpura, et al.
Frontiers in Built Environment (2024) Vol. 10
Open Access | Times Cited: 1
Exploring the Comprehensive Integration of Artificial Intelligence in Optimizing HVAC System Operations: A Review and Future Outlook
Shengze Lu, Shiyu Zhou, Yan Ding, et al.
Results in Engineering (2024), pp. 103765-103765
Open Access | Times Cited: 1
Optimized Replication of ADC-Based Particle Counting Algorithm with Reconfigurable Multi-Variables in Pseudo-Supervised Digital Twining of Reference Dust Sensor Systems
Seungmin Lee, Jisu Kwon, Daejin Park
Sensors (2023) Vol. 23, Iss. 12, pp. 5557-5557
Open Access | Times Cited: 3
Digital Twin for Citywide Energy Modeling and Management
Narjes Abbasabadi, Mehdi Ashayeri
(2024), pp. 251-276
Closed Access
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