Python and R Scripts for Shape Memory Alloys in Biomedical Engineering: A Scopus-Based Bibliometric Analysis

Shape memory alloys (SMAs) have emerged as transformative materials in biomedical engineering owing to their unique properties of shape memory effect, superelasticity, and biocompatibility. This study offers a complete bibliometric evaluation based on the Scopus database (2011–2024) of 409 publications backed by machine learning and deep learning methods to map the SMA studies evolution in biomedical applications and forecast future trend.