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A Bibliometric Study and Science Mapping Research of Intelligent Decision

Li, Bo; Xu, Zeshui; Hong, Nan; Hussain, Amir


Bo Li

Zeshui Xu

Nan Hong


Intelligent decision (ID) has received a great deal of attention and has been integrated into various fields, such as machine learning, fuzzy inference system, and natural language processing. The advanced technologies have become hot topics and have been made great development and innovations in academic documents. This paper is a comprehensive review in the field of ID based on bibliometric analysis and strategic analysis. First, the descriptive statistics and results are presented, including database, annual publications, research directions, and hotspots. Based on the visualization tools (including VOS viewer, CiteSpace, Bibexcel, and GPS visualizer), from the perspective of the author keyword, the current research topics, and the development evolution are presented. Some bibliometric analysis methods are applied, such as co-occurrence analysis, timeline view analysis, and burst detection analysis. Then, this paper identifies the most influential countries/regions, institutions, and authors. Next, some important themes are further discussed by strategic analysis and overlapping analysis. This paper helps scholars with understanding the development trajectory and statistical model of ID research to promote in-depth exploration.

Journal Article Type Article
Acceptance Date Jan 3, 2022
Online Publication Date Jan 22, 2022
Publication Date 2022-05
Deposit Date Mar 8, 2022
Journal Cognitive Computation
Print ISSN 1866-9956
Electronic ISSN 1866-9964
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 14
Pages 989-1008
Keywords Intelligent decision, Bibliometrics, Keywords, Clusters, Strategic analysis
Public URL