Visualization analysis of the journal of intelligent & fuzzy systems (2002-2018)

被引：4
|
作者：
Shang, Yu [1 ,2 ]
Han, Zhiguo [3 ]
Qiao, Yun [1 ,4 ]
Zhou, Jinglun [1 ]
机构：
[1] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China
[2] Beijing Inst Aerosp Testing Technol, Ciyogen Technol Div, Beijing, Peoples R China
[3] Beijing Sport Univ, Lib, Beijing, Peoples R China
[4] China Aerosp Sci & Technol Corp, Dept Financial, Beijing, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2020年 / 38卷 / 03期
关键词：
Journal analysis; visualization analysis; CiteSpace; burst detection; AGGREGATION OPERATORS; EMERGING TRENDS; BIBLIOMETRIC ANALYSIS; DECISION-MAKING; INFORMATION; UNCERTAINTY; DISTANCE;
D O I：
10.3233/JIFS-18326
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To identify the continuous research status for a specific journal is the purpose of this study, employing a visualization software named CiteSpace, which is an effective scientometrics tool widely spread. 3,786 articles published in the Journal of Intelligent & Fuzzy Systems between 2002 and 2018 were retrieved from Web of Science. The co-citation network of references was linked and mapped to explore the important documents. Soon afterwards, the author co-citation network, the journal co-citation network, and the keywords co-citation network are equally important. The results of this study are instructive and meaningful to guide practice in scientific research.
引用
收藏
页码：2979 / 2989
页数：11
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