人工智能论文作者同被引分析

摘要

Authors and Citation Analysis (ACA) is an analytical method for identifying knowledge structures in specific areas through the relationship between two similar authors. In this paper, we use ACA method and use Bibexcel, SPSS and VOSviewer tools to analyze the development trend of artificial intelligence in Web of Science database from 2001 to 2015.And on this basis, some suggestions are brought forward to improve the research on artificial intelligence.%作者同被引分析是一种通过两个相似作者之间的关系来识别特定知识领域知识结构的分析方法.本文通过作者同被引方法,利用Bibexcel、SPSS和VOSviewer分析Web of Science数据库中2001—2015年人工智能领域的相关文献,探讨15年间人工智能的发展趋势,提出促进人工智能领域发展的相关建议.