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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 Twins for the built environment: learning from conceptual and process models in manufacturing
Juan Manuel Dávila Delgado, Lukumon O. Oyedele
Advanced Engineering Informatics (2021) Vol. 49, pp. 101332-101332
Open Access | Times Cited: 189

Showing 1-25 of 189 citing articles:

Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges
Sofiat Abioye, Lukumon O. Oyedele, Lukman Akanbi, et al.
Journal of Building Engineering (2021) Vol. 44, pp. 103299-103299
Open Access | Times Cited: 566
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 4929-5021
Open Access | Times Cited: 274
Design, Modeling and Implementation of Digital Twins
Mariana Segovia, Joaquin Garcia‐Alfaro
Sensors (2022) Vol. 22, Iss. 14, pp. 5396-5396
Open Access | Times Cited: 194
Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities
Abdullahi B. Saka, Lukumon O. Oyedele, Lukman Akanbi, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101869-101869
Open Access | Times Cited: 88
Industry application of digital twin: from concept to implementation
Xin Fang, Honghui Wang, Guijie Liu, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 7-8, pp. 4289-4312
Closed Access | Times Cited: 86
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: 84
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: 75
Building performance simulation in the brave new world of artificial intelligence and digital twins: A systematic review
Pieter de Wilde
Energy and Buildings (2023) Vol. 292, pp. 113171-113171
Open Access | Times Cited: 72
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: 67
Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review
Shuvo Dip Datta, Mobasshira Islam, Md. Habibur Rahman Sobuz, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26888-e26888
Open Access | Times Cited: 57
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: 46
Building digital twinning: Data, information, and models
Sungmin Yoon
Journal of Building Engineering (2023) Vol. 76, pp. 107021-107021
Open Access | Times Cited: 44
Generic Multi-Layered Digital-Twin-Framework-Enabled Asset Lifecycle Management for the Sustainable Mining Industry
Nabil El Bazi, Mustapha Mabrouki, Oussama Laayati, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3470-3470
Open Access | Times Cited: 43
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: 43
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: 34
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: 28
Application of artificial intelligence in digital twin models for stormwater infrastructure systems in smart cities
Abbas Sharifi, Ali Tarlani Beris, Amir Sharifzadeh Javidi, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102485-102485
Closed Access | Times Cited: 26
Digital twinning of building construction processes. Case study: A reinforced concrete cast-in structure
Rolando Chacón, Hector Posada, Carlos Ramonell, et al.
Journal of Building Engineering (2024) Vol. 84, pp. 108522-108522
Open Access | Times Cited: 21
A Review of Urban Digital Twins Integration, Challenges, and Future Directions in Smart City Development
Silvia Mazzetto
Sustainability (2024) Vol. 16, Iss. 19, pp. 8337-8337
Open Access | Times Cited: 18
Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic
Jorge E. Pesantez, Faisal Alghamdi, Shreya Sabu, et al.
Sustainable Cities and Society (2021) Vol. 77, pp. 103520-103520
Open Access | Times Cited: 82
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: 67
Computer Vision Enabled Building Digital Twin Using Building Information Model
Xiaoping Zhou, Kaiyue Sun, Jia Wang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 3, pp. 2684-2692
Closed Access | Times Cited: 57
Knowledge graph-based data integration system for digital twins of built assets
Carlos Ramonell, Rolando Chacón, Héctor Posada
Automation in Construction (2023) Vol. 156, pp. 105109-105109
Open Access | Times Cited: 37
City Digital Twins: their maturity level and differentiation from 3D city models
Homa Masoumi, Sara Shirowzhan, Paria Eskandarpour, et al.
Big Earth Data (2023) Vol. 7, Iss. 1, pp. 1-36
Open Access | Times Cited: 35
Digital twins-boosted intelligent maintenance of ageing bridge hangers exposed to coupled corrosion–fatigue deterioration
Junlin Heng, You Dong, Li Lai, et al.
Automation in Construction (2024) Vol. 167, pp. 105697-105697
Closed Access | Times Cited: 15
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