Digital Twin
Impact Factor Trend
Clarivate IF trend for Digital Twin
SCImago Journal Rank citation prestige weighting
papers with at least that number of citations each
Aims & Scope
Digital Twin is a rapid multidisciplinary open access publishing platform for state-of-the-art, basic, scientific and applied research on digital twin technologies. Digital Twin covers all areas related digital twin technologies, including broad fields such as smart manufacturing, civil and industrial engineering, healthcare, agriculture, and many others. The platform is open to submissions from researchers, practitioners and experts, and all articles will benefit from open peer review. The aim of Digital Twin is to advance the state-of-the-art in digital twin research and encourage innovation by highlighting efficient, robust and sustainable multidisciplinary applications across a variety of fields. Challenges can be addressed using theoretical, methodological, and technological approaches. The scope of Digital Twin includes, but is not limited to, the following areas: ● Digital twin concepts, architecture, and frameworks ● Digital twin theory and method ● Digital twin key technologies and tools ● Digital twin applications and case studies ● Digital twin implementation ● Digital twin services ● Digital twin security ● Digital twin standards Digital twin also focuses on applications within and across broad sectors including: ● Smart manufacturing ● Aviation and aerospace ● Smart cities and construction ● Healthcare and medicine ● Robotics ● Shipping, vehicles and railways ● Industrial engineering and engineering management ● Agriculture ● Mining ● Power, energy and environment Digital Twin features a range of article types including research articles, case studies, method articles, study protocols, software tools, systematic reviews, data notes, brief reports, and opinion articles.
Special Issues
Calls for PapersNo active Calls for Papers found for this journal.
WoS Categories & Quartiles
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Annual Historical Statistics & Publications
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SCImago & Scopus Journal Intelligence
Not indexed in SCImago / Scopus databaseThis journal is currently not indexed in Scopus or is an academic publication indexed exclusively in Web of Science (WoS).
Journal Metrics & Citation Visualizations
Total Cites vs Self-Cites
Evaluation of scholarly independence and citation reach
Citations per Document
Citation metric windows across 2, 3, and 4 years
Chinese Academy of Sciences (CAS) Classification
Major / minor zone classification and CAS Early Warning List history
Academic Intelligence Overview & Context
ImpaQ AnalysisDigital Twin (abbr: DT, ISSN: 2752-5783) is a peer-reviewed international scholarly journal in the field of digital twin technologies, published by Taylor & Francis Group in China since 2021. The periodical holds tracked under Web of Science (SCIE) in quartile Q1.
The journal enforces rigorous peer evaluation with an annual output of approximately 0 scientific articles. In terms of accessibility and author fees, it operates under the Subscription model with APC fees are not specified. It serves as a benchmark publication platform for academics, researchers, and doctoral candidates seeking global research visibility.
Publishing & Editorial Information
Detailed publisher, peer-review turnaround, and publication cycle specifications
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