Cited by 1,255Digital Transformation in IndustryApplied Advanced TechnologiesBIM and Construction Integration

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Digital twin modeling

Tao, Fei, Xiao, Bin, Qi, Qinglin, Cheng, Jiangfeng, Ji, Ping·2022·Journal of Manufacturing Systems

DOI 10.1016/j.jmsy.2022.06.015

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Authors: Tao, F., Xiao, B., Qi, Q., Cheng, J., & Ji, P.
Affiliations: Beihang University (CN)
Hong Kong Polytechnic University (HK)
Corresponding author: Qi, Qinglin
ORCID: Tao, Fei
Xiao, Bin
Qi, Qinglin
Cheng, Jiangfeng
Ji, Ping
Venue: Journal of Manufacturing Systems
Publisher: Elsevier BV
Published: 2022-07
Volume: 64
Pages: 372-389
ISSN: 0278-6125 (ISSN-L)
DOI: 10.1016/j.jmsy.2022.06.015
OpenAlex: W4285098908
Cited by: 1,255
References: 141
Citations by year: 2026: 290 · 2025: 437 · 2024: 347 · 2023: 166 · 2022: 15
FWCI: 110.73
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Journal of Manufacturing Systems (publishedVersion)
Funders: National Natural Science Foundation of China (52005024, G-YZ3N)
Topics: Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
Keywords: digital twin, digital twin modeling, enabling technologies, digital transformation

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