基于文献计量学的AI+类黄酮研究现状与热点分析OA

Objective To systematically review the global development trends,research hotspots,and emerging frontiers in the field of AI+flavonoid research using bibliometric methods.Methods Relevant English-language literature published from May 1,2014,to September 30,2025,was comprehensively retrieved from the Web of Science database.Visualized analyses were performed on dimensions including keywords,chemical components,and pharmacological actions using tools such as CiteSpace and VOSviewer.Results The bibliometric analysis indicates that research on artificial intelligence in relation to flavonoids has shown sustained growth in recent years.According to Web of Science statistics,the number of relevant publications from May 2014 to September 2025 increased year by year,reflecting a steady rise in research activity in this field.The application of AI offers new possibilities for addressing challenges inherent in traditional research approaches.For instance,through data mining and model prediction,AI can assist in discovering novel pharmacological effects and potential biological mechanisms of flavonoids.Conclusion The interdisciplinary intersection of AI and flavonoid research is currently in a phase of rapid development,demonstrating substantial research potential and broad application prospects.It is expected to become an important frontier in food science,pharmacology,and precision health.