Advances in Machine Learning Research Using Knowledge Graphs
This provides a bibliometric overview for researchers in China, but it is incremental as it applies existing visualization methods to a specific dataset.
The study analyzed CSSCI-indexed literature from CNKI using CiteSpace to create knowledge graphs on institutional collaboration and keyword co-occurrence, revealing current research trends and challenges in machine learning in China.
The study uses CSSCI-indexed literature from the China National Knowledge Infrastructure (CNKI) database as the data source. It utilizes the CiteSpace visualization software to draw knowledge graphs on aspects such as institutional collaboration and keyword co-occurrence. This analysis provides insights into the current state of research and emerging trends in the field of machine learning in China. Additionally, it identifies the challenges faced in the field of machine learning research and offers suggestions that could serve as valuable references for future research.