人工智能研究的热点、演进脉络与未来展望——基于文献计量的分析  

Research Hotspots,Evolutionary Trajectory,and Future Prospects of Artificial Intelligence--Based on bibliometric analysis

作　　者：戴奇乐 郭金阳 高阳[3] 于墨函 DAI Qile;GUO Jinyang;GAO Yang;YU Mohan

机构地区：[1]北京赛迪软件测评工程技术中心 [2]北京工商大学经济学院 [3]哈尔滨师范大学经济与管理学院 [4]爱丁堡大学商学院

出　　处：《价格理论与实践》2024年第10期221-225,228,共6页Price:Theory & Practice

摘　　要：近年来,人工智能作为一门交叉学科蓬勃发展,已成为全球研究的热点领域。本文运用文献计量方法,基于2000-2024年CNKI和Web of Science数据库相关文献,深入探讨国内外研究的热点、演进脉络,并对未来研究方向进行展望。研究发现,全球人工智能研究均呈现快速增长态势,中国在研究规模上逐步赶超国际水平;研究焦点从基础理论逐步向数据驱动的应用领域发展。其中,中国更注重技术的落地应用,国际研究则偏向基础理论的拓展。未来人工智能领域在理论突破、跨学科融合以及社会责任和伦理框架构建等方面仍需进一步深化。In recent years,artificial intelligence(AI),as a rapidly developing interdisciplinary field,has emerged as a global research hotspot.This paper employs bibliometric methods to analyze AI-related literature from the CNKI and Web of Science databases between 2000 and 2024,offering an in-depth exploration of research hotspots,trends,and future prospects in both domestic and international contexts.The findings reveal a rapid global growth in AI research,with China increasingly catching up with international research in terms of scale.The focus of research has shifted from foundational theories to data-driven ap plications,with China placing greater emphasis on practical technological implementation,while international research tends to prioritize advancements in fundamental theory.Future AI research necessitates further progress in theoretical breakthroughs,in terdisciplinary integration,and the establishment of social responsibility and ethical frameworks.

关 键 词：人工智能 文献计量分析 研究热点 演进脉络 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]