中国食物与营养2026，Vol.32Issue(4)：190-198,61,10.
人工智能在营养管理领域研究热点的可视化分析
Visual Analysis of Research Hotspots in Artificial Intelligence in Nutrition Management
摘要
Abstract
[Objective]The objective of this study was to analyze the research status,hotspots,and frontiers of artificial intelligence(AI)in the field of nutrition management in China and globally,and to provide a reference for future research.[Method]A literature analysis was conducted using the visualization software CiteSpace 6.4.R1.We retrieved relevant publications on AI in nutrition management from the CNKI,Wanfang,Weipu,and Web of Science Core Collection databases from their inception until August 1,2025.[Result]A total of 87 Chinese and 113 English publications were included.Although the overall publication output remains relatively low,the number of studies on AI in nutrition management has been increasing.The United States was the leading contributor with 29 publications.Research hotspots primarily focus on AI applications in recommendation systems,dietary assessment,and diet management.Key research frontiers include nutrition management,dietary assessment,knowledge graphs,and machine learning.Emerging trends point towards nutritional status monitoring and personalized nutrition recommendations.[Conclusion]Research on AI in nutrition management is expanding.To foster further development,future research in China should focus on addressing domestic needs while engaging with global frontiers.Enhanced interdisciplinary and international collaboration is recommended to bolster China's impact and accelerate the application of AI in this field.关键词
人工智能/营养管理/可视化分析Key words
artificial intelligence/nutrition management/visual analysis引用本文复制引用
周俊兰,李珺,王英泽,赵梅..人工智能在营养管理领域研究热点的可视化分析[J].中国食物与营养,2026,32(4):190-198,61,10.基金项目
国家自然科学基金面上项目(项目编号:72474001) （项目编号:72474001）
安徽省自然科学基金面上项目(项目编号:2308085MH285). （项目编号:2308085MH285）
