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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 modeling
Fei Tao, Bin Xiao, Qinglin Qi, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 372-389
Closed Access | Times Cited: 580

Showing 1-25 of 580 citing articles:

Digital twin in healthcare: Recent updates and challenges
Tianze Sun, Xiwang He, Zhonghai Li
Digital Health (2023) Vol. 9
Open Access | Times Cited: 203
A systematic review of digital twin about physical entities, virtual models, twin data, and applications
Xin Liu, Du Jiang, Bo Tao, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101876-101876
Closed Access | Times Cited: 172
Digital Twins in Healthcare: An Architectural Proposal and Its Application in a Social Distancing Case Study
Alessandra De Benedictis, Nicola Mazzocca, Alessandra Somma, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 10, pp. 5143-5154
Open Access | Times Cited: 76
Digital Twins and Enabling Technologies in Museums and Cultural Heritage: An Overview
Wolfram Luther, Nelson Baloian, Daniel Biella, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1583-1583
Open Access | Times Cited: 63
Blockchain and its derived technologies shape the future generation of digital businesses: a focus on decentralized finance and the Metaverse
Saeed Banaeian Far, Azadeh Imani Rad, Maryam Rajabzadeh Asaar
Data Science and Management (2023) Vol. 6, Iss. 3, pp. 183-197
Open Access | Times Cited: 58
Task incremental learning-driven Digital-Twin predictive modeling for customized metal forming product manufacturing process
Jie Li, Zili Wang, Shuyou Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102647-102647
Closed Access | Times Cited: 57
The Application of Artificial Intelligence and Big Data in the Food Industry
Haohan Ding, Jiawei Tian, Wei Yu, et al.
Foods (2023) Vol. 12, Iss. 24, pp. 4511-4511
Open Access | Times Cited: 57
Advancements and challenges of digital twins in industry
Fei Tao, He Zhang, Chenyuan Zhang
Nature Computational Science (2024) Vol. 4, Iss. 3, pp. 169-177
Open Access | Times Cited: 52
Big data, machine learning, and digital twin assisted additive manufacturing: A review
Liuchao Jin, Xiaoya Zhai, Kang Wang, et al.
Materials & Design (2024) Vol. 244, pp. 113086-113086
Open Access | Times Cited: 47
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: 46
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: 45
Digital twin: Data exploration, architecture, implementation and future
Md. Shezad Dihan, Anwar Islam Akash, Zinat Tasneem, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26503-e26503
Open Access | Times Cited: 32
Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value
Malin Song, Heting Pan, Zhiyang Shen, et al.
Energy Economics (2024) Vol. 131, pp. 107392-107392
Closed Access | Times Cited: 31
Advanced informatic technologies for intelligent construction: A review
Limao Zhang, Yongsheng Li, Yue Pan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109104-109104
Closed Access | Times Cited: 30
Digital twin for credit card fraud detection: opportunities, challenges, and fraud detection advancements
Pushpita Chatterjee, Debashis Das, Danda B. Rawat
Future Generation Computer Systems (2024) Vol. 158, pp. 410-426
Closed Access | Times Cited: 29
A review of digital twin capabilities, technologies, and applications based on the maturity model
Yang Liu, Jun Feng, Jiamin Lu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102592-102592
Closed Access | Times Cited: 21
A 3D functional plant modelling framework for agricultural digital twins
Christos Mitsanis, William Hurst, Bedir Teki̇nerdoğan
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108733-108733
Open Access | Times Cited: 19
Survey on open‐source digital twin frameworks–A case study approach
Santiago Gil, Peter Høgh Mikkelsen, Cláudio Gomes, et al.
Software Practice and Experience (2024) Vol. 54, Iss. 6, pp. 929-960
Open Access | Times Cited: 16
Reflecting City Digital Twins (CDTs) for sustainable urban development: Roles, challenges and directions
Qian-Cheng Wang, Maoran Sun, Xuan Liu, et al.
Digital engineering. (2025), pp. 100035-100035
Open Access | Times Cited: 3
Human-AI interactive optimized shared control
Jun Tan, Shuangsi Xue, Hui Cao, et al.
Journal of Automation and Intelligence (2025)
Open Access | Times Cited: 3
Vehicle giga-casting Al alloys technologies, applications, and beyond
Jian Yang, Bo Liu, Dongwei Shu, et al.
Journal of Alloys and Compounds (2025), pp. 178552-178552
Closed Access | Times Cited: 2
Digital twin technology in modern machining: A comprehensive review of research on machining errors
Xiangfu Fu, Hyo-Sook Song, Shuo Li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 134-161
Open Access | Times Cited: 2
Operation and maintenance optimization of offshore wind farms based on digital twin: A review
Jiajun Xia, Guang Zou
Ocean Engineering (2022) Vol. 268, pp. 113322-113322
Closed Access | Times Cited: 48
Building digital twinning: Data, information, and models
Sungmin Yoon
Journal of Building Engineering (2023) Vol. 76, pp. 107021-107021
Open Access | Times Cited: 41
Production logistics digital twins: Research profiling, application, challenges and opportunities
Yonghuai Zhu, Jiangfeng Cheng, Zhifeng Liu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 84, pp. 102592-102592
Closed Access | Times Cited: 40
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