A Comparative Bibliometric Analysis of Artificial Intelligence in 3D Hydrogel Printing: Insights from Scopus and Web...

This study presents a bibliometric analysis of scientific publications related to artificial intelligence (AI) in hydrogel-based 3D printing, aiming to map the research landscape, trends, and scholarly impact of this emerging interdisciplinary field. Data were retrieved from Scopus and Web of Science (WoS) databases covering the period from 2015 to early 2025. Analytical tools, including Excel, Pycharm, OriginPro, Bibilioshiny and VOSviewer, were applied to examine publication growth, document types, geographical distribution, institutional output, and citation patterns. The results reveal a sharp increase in research activity since 2020, with China and the United States leading in publication volume. Articles and reviews constitute the majority of document types, reflecting both foundational work and critical evaluations. Institutional contributions were dominated by Chinese and Indian universities, while citation analysis highlighted influential works on smart biomaterials and AI-assisted biofabrication. The findings offer a structured overview of the field's development and provide insights for researchers, policymakers, and practitioners aiming to navigate or contribute to this rapidly advancing domain.