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作 者:曹燕[1] 师英昭 曾文[1] CAO Yan;SHI Ying-zhao;ZENG Wen(Institute of Scientific and Technical Information of China,BeiJing 100038)
出 处:《全球科技经济瞭望》2021年第11期50-60,共11页Global Science,Technology and Economy Outlook
基 金:国家自然科学基金项目“基于开源情报的科技前沿多维度探测方法及模型研究”(72074201);国家重点研发项目“颠覆性技术感知响应平台研发与应用示范”子课题“地平线扫描系统”(2019YFA0707202)。
摘 要:人工智能是当代科技发展前沿领域之一,本文以EI数据库收录的2009—2019年的IJCAI年会论文为研究对象,利用文献计量学和可视化技术分析人工智能领域高端会议论文的研究态势,对相关国家、研究机构和研究人员以及研究热点进行分析和总结,并重点对比中美两国研究热点。结果表明:全球人工智能领域研究已进入高速发展阶段,中国研究力量发展尤为迅速,涌现大批优秀的青年研究学者;研究机构之间的合作交流具有显著区域特征;人工智能顶级会议论文研究的热点问题聚焦在语义、深度学习、神经网络和机器学习等方面,中美两国的研究方向基本一致,同时略有侧重。文章的分析结果或结论可以为我国人工智能发展战略和前沿技术研究方向提供参考。Artificial intelligence is one of the frontier fields of science and technology development in the present age.This article focuses on the state of high qualitity conference papers in the field of artificial intelligence in recent ten years and analyzes the papers of IJCAI from 2009 to 2019 covered by EI database using bibliometrics and visualizational methods mainly from the perspective of such as relevant countries,research institutions,researchers and research hotspots,and compares the research hotspots of China and the United States.We discover that the global research in the field of artificial intelligence had already entered a stage of speed development and the research in China developed rapidly,a large number of outstanding young chinese researchers have emerged;Cooperationbetween international research institutions possesses significant regional characteristics;The hot spots of high qualitity conference papers in the field of artificial intelligence focus on semantics,deep learning,neural network and machine learning.China and America keep generally consistent in research fields,however the focusing points are a little different.The analysis results or conclusions of this paper can provide reference for the development strategy and frontier technology research direction of artificial intelligence in China.
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