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Bibliometrics

Universiti Teknologi MARA (UiTM) scholarly outputs based on the dataset obtained from the Scopus and Scival from 2020-2025

Co-Occurrence Keyword Analysis

This VOSviewer keyword co-occurrence map shows the main research themes and their relationships. The network is organised into multiple clusters representing key areas such as machine learning and artificial intelligence, materials science and nanotechnology, renewable energy and engineering optimisation, and chemistry and biomedical research. Central keywords like machine learning, optimization, and Malaysia indicate strong interdisciplinary connections, highlighting a diverse and integrated research landscape.