Yin Junjia, Lai Jingting, Elaina Rose Johar and Zheng Jiacheng
Adv. Artif. Intell. Mach. Learn., 5 (3):4174-4195
1. Yin Junjia: Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia
2. Lai Jingting: Faculty of Economic and Management, National University of Malaysia, Malaysia; School of Architectural Engineering, Nanning Vocational and Technical University, China.
3. Elaina Rose Johar: Faculty of Economic and Management, National University of Malaysia, Malaysia
4. Zheng Jiacheng: Department of Natural Science and Mathematics, University of Denver, USA
DOI: 10.54364/AAIML.2025.53233
Article History: Received on: 23-Apr-25, Accepted on: 19-Aug-25, Published on: 26-Aug-25
Corresponding Author: Yin Junjia
Email: 18908453651@163.com
Citation: Lai Jingting, Elaina Rose Johar, Yin Junjia, Jiacheng Zheng. Reskilling and Upskilling in the AI Era: A Review. Advances in Artificial Intelligence and Machine Learning. 2025;5(3):233.
Reskilling and upskilling are crucial in the current rapid technological advancement and digital transformation era. This study aims to elucidate the trend of reskilling and upskilling studies from 2015 until 2025, and in doing so, ascertain the cohesions and disparities in these themes concerning reskilling and upskilling approaches. This study explores the most productive authors, papers, journals, countries, and affiliations used in the field and identifies and provides a potential agenda for future research in this context. A bibliometric analysis was conducted using VOSviewer. This approach provides essential insights into current and emerging trends in reskilling and upskilling, helping to map the research landscape and identify future research directions in this area. This study comprehensively analyzes the most productive contributors, countries, authors, affiliations, and highly cited papers in reskilling and upskilling. Data was collected exclusively from the Scopus database. Future research could expand the data set by including additional indices and reputable databases to offer a broader scope. Further research directions can be drawn from examining annual publication trends and identifying authors, affiliations, and countries consistently producing highly cited works in reskilling and upskilling. This bibliometric analysis plays a crucial role by offering valuable insights to emerging scholars in the field. It guides future research by presenting key data on global citations, article citation counts, and the most influential journals in reskilling and upskilling studies.