Research on Industry 4.0 and on key related technologies in Vietnam: A bibliometric analysis using Scopus

• Published in: Learned publishing Vol. 34; no. 3; pp. 414 - 428
• Main Authors: Pham‐Duc, Binh, Tran, Trung, Le, Hien‐Thu‐Thi, Nguyen, Nhi‐Thi, Cao, Ha‐Thi, Nguyen, Tien‐Trung
• Format: Journal Article
• Language: English
• Published: Watford Association of Learned and Professional 01.07.2021
• Subjects: Artificial intelligence; Bibliometrics; Vietnam
• ISSN: 0953-1513; 1741-4857
• DOI: 10.1002/leap.1381

Abstract Bibliometric analysis was performed to study the development of publications related to Industry 4.0 and its key technologies in Vietnam. Comparisons with data from other ASEAN countries, and with global data have been done to identify distinctive characteristics of Industry 4.0 literature from Vietnam. The collection of 1,470 retrieved papers was analysed to answer seven research questions. Our results highlighted some valuable insights of Industry 4.0 literature in Vietnam. The number of papers in Industry 4.0 in Vietnam increased rapidly in recent years, mostly focused on Computer Science, Engineering, and Mathematics. Iran, China, and South Korea were the most productive partner countries with Vietnam in Industry 4.0. Machine learning, artificial intelligence, big data, deep learning, Internet of things, neural networks, and data mining were among the most popular research themes in Industry 4.0 in Vietnam. Vietnam ranked third among 10 Southeast Asian countries, based on the number of published papers in Industry 4.0, but the gap with the two top countries was large. Compared to the global data, the annual growth rate of Industry 4.0 papers in Vietnam, and other Southeast Asian countries was lower. Findings from this work can be helpful for other scholars in establishing potential future research lines related to Industry 4.0 in Vietnam.