A bibliometric network and content analysis of deep learning research within artificial intelligence from 2019 to 2025

Abstract The rapid development of artificial intelligence (AI) and deep learning has driven innovation across multiple fields. This study aims to provide a comprehensive overview of deep learning research within AI from 2019 to 2025. A total of 1214 relevant articles from the Web of Science were systematically analyzed using bibliometric, network, and content analysis methods. VOSviewer and R Studio (Biblioshiny) supported bibliometric and network analyses to examine publication trends, influent