We are pleased to inform you that our journal is now indexed in Semantic Scholar.
All papers published in our journal are available in Semantic Scholar now.
Semantic scholar is designed to be an AI-backed search engine for scientific journal articles. The project uses a combination of machine learning, natural language processing, and machine vision to add a layer of semantic analysis to the traditional methods of citation analysis, and to extract relevant figures, entities, and venues from PAPERS. In comparison to Google Scholar and PubMed, Semantic Scholar is designed to highlight the most important and influential papers, and to identify the connections between them.