A keyword-based approach to analyzing scientific research trends: ReRAM present and future.

ABSTRACT: Research trend analysis is a primary step in defining research structures and predicting research directions from scientific papers. Recently, due to millions of annual scientific publications, researchers demand analytical methods to interpret the research field topologically and temporally. In this study, we propose a keyword-based research trend analysis method that automatically and systematically analyzes the research field by extracting keywords and constructing a keyword network. We verified our method on the resistive random-access memory (ReRAM) research field, which is in the limelight as an alternative device for non-volatile memory and artificial synapses. Our method performs three sequential processes: article collection, keyword extraction, and research structuring. We identi

SUBMITTER: Kim H 

PROVIDER: S-EPMC11978846 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature