Insights into the Application of Machine Learning in Industrial Risk Assessment: A Bibliometric Mapping Analysis

Risk assessment is of great significance in industrial production and sustainable development. Great potential attributed to machine learning risk as a promising technology the fields computer science internet. To better understand role this field investigate current research status, we selected 3116 papers from SCIE SSCI databases WOS retrieval platform between 1991 2022 our data sample. The VOSviewer, Bibliometrix R, CiteSpace software were used perform co-occurrence analysis, clustering dual-map overlay analysis keywords. results indicate that development trend can be divided into three stages: initial exploration, stable development, high-speed Machine algorithm design, applications biomedicine, monitoring construction machinery, environmental protection are knowledge base study. There hotspots application assessment: study algorithms, Industry 4.0 system, autonomous driving. At present, basic theories structural systems related have been established, there numerous directions extensive frontier branches. “Random Forest”, “Industry 4.0”, “supply chain assessment”, “Internet Things” at forefront research.