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A Visual Analysis of Frontiers and Dynamic Tendencies for Humanitarian Logistics
Author(s) -
Shaochuan Fu,
Xuehua Ji,
Changxiang Lu,
Shucheng Fan
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/5555058
Subject(s) - scopus , research object , web of science , china , statistical analysis , object (grammar) , field (mathematics) , data science , humanitarian logistics , bibliometrics , value (mathematics) , computer science , operations research , knowledge management , political science , engineering , regional science , geography , world wide web , operations management , mathematics , artificial intelligence , medline , statistics , pure mathematics , law , machine learning
Under the background of regular epidemic prevention and control, the frontiers and prospects of humanitarian logistics (HL) have substantial value in enhancing emergency capacity. Taking the relevant articles collected in Web of Science and Scopus databases as the research object, this study discusses the basic characteristics, hot topics, and the potential directions of HL, using the bibliometric analysis and statistical analysis methods. Results show that the number of articles presents an overall increase with fluctuation. The major driving force of HL research is from the USA and China. Although a certain cooperation size among authors has been formed, close contact among research teams from different institutions in different countries is lacking. In addition, the four main topics of HL are highlighted through the “co-occurrence” analysis of keywords by VOSviewer. Further research directions and suggestions can be identified under the analysis of each topic and the knowledge map of CiteSpace. It is expected that results will provide a theoretical reference to scholars when identifying innovative ideas in this field.

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