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This analysis aims to explore the dynamic structure and research cooperation in the field of Industry 4.0 technologies.

A bibliometric analysis of industry 4.0 digital manufacturing and smart technologies for sustainable development

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This analysis aims to explore the dynamic structure and research cooperation in the field of Industry 4.0 technologies.
Analyzed 2500 peer-reviewed journals from 2013 to 2024
Utilized performance analysis, network analysis, and theme dynamic analysis methods
Employed tools like Python, VOSViewer, Gephi, and Tableau for data analysis.
Industry 4.0 research shows significant growth since the mid-2010s, transitioning to practical studies.
Network analysis indicates high fragmentation and localized clustering of research collaborations.
Thematic dynamics reveal a shift from infrastructure topics to intelligent systems, with increased relevance of explainable AI.

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Bibliometric analysis reveals key themes and trends in Industry 4.0 for sustainable development, highlighting intellectual focus shifts.

Yılmaz et al. (2026) studied this question.

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