The research landscape on the artificial intelligence: a bibliometric analysis of recent 20 years

被引：7
|
作者：
Gao, Hui [1 ]
Ding, Xiuhao [2 ]
机构：
[1] Hubei Univ, Sch Business, Youyi Ave 368, Wuhan, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Management, Luoyu Rd 1037, Wuhan, Peoples R China
来源：
MULTIMEDIA TOOLS AND APPLICATIONS | 2022年 / 81卷 / 09期
关键词：
Artificial intelligence (AI); Bibliometric methods; Patent analysis; Visualization; STRATEGIC-MANAGEMENT; PATTERNS; PERSPECTIVE; SCIENCE; TRENDS; DOMAIN; MODEL;
D O I：
10.1007/s11042-022-12208-4
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Artificial intelligence (AI), a general term that implies the imitation of information process of intelligent behavior and sense with minimal intervention, is one of the most promising research areas and has received a considerable attention with coexisting pros and cons. In order to understand the research status quo and future trends on AI technology, this work uses bibliometric analysis method to obtain this objective. By analyzing the datasets including journal article data collected from Web of Science (WOS), conference paper data retrieved from Scopus and the patent data extracted from Derwent Innovations Index (DII) in the period of 2000-2019, we primarily provide a comprehensive overview to better understand the research status of AI. Bibliometric analysis results can also shed light on the evolution and trends in AI.
引用
收藏
页码：12973 / 13001
页数：29
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