Bibliometric Dataset on AI-Assisted Psychological Interventions for Stroke Survivors (2000–2024)

This dataset supports a bibliometric and visualized analysis of global research trends on artificial intelligence-assisted psychological interventions for stroke survivors, covering the period from January 2000 to October 2024. The data were retrieved from the Web of Science Core Collection (Science Citation Index Expanded) using a structured search strategy combining three thematic components: stroke-related terms, artificial intelligence technologies, and psychological intervention concepts.

A total of 450 records were included in this dataset. Each record contains bibliographic metadata such as title, author names, abstracts, keywords, journal name, publication year, and cited references. The dataset is intended to facilitate scientometric and network-based analysis using tools such as CiteSpace and VOSviewer.

The dataset was used to map publication trends, identify leading contributors (authors, institutions, countries), and visualize co-citation and keyword co-occurrence networks. The downloadable files include the original WoS export file and the search strategy documentation describing the structure and reuse of the dataset.

This resource can be used by researchers interested in bibliometric analysis, knowledge mapping, and trend exploration at the intersection of artificial intelligence, stroke rehabilitation, and mental health.