China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (8): 185-193.doi: 10.16265/j.cnki.issn1003-3033.2022.08.2304

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Research progress and prospect of emergency management based on CNKI and CiteSpace

YUN Xiaopeng1,2()   

  1. 1 Department of Public Security Management, Shanxi Police College, Taiyuan Shanxi 030401, China
    2 School of Mechanics and Architectural Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
  • Received:2022-02-19 Revised:2022-06-10 Online:2022-09-05 Published:2023-02-28


In order to clarify the research hotspots and frontiers in the field of emergency management, this paper adopts the methods of knowledge map visualization and bibliometrics, uses the existing literature data of CNKI and CiteSpace software, quantitatively analyzes the characteristics of domestic emergency management research, such as publishing time, journals, authors, research institutions, highly cited literature, etc., and reveals the research hotspots and frontier trends of emergency management from the aspects of keyword topic path knowledge map, keyword clustering and emergent word extraction. The results show that domestic studies on emergency management have been conducted by a stable group of authors and research institutions, and the cooperation between institutions is stable, but the core author group has not yet formed, and there is a lack of cross-disciplinary cooperation. Emergency management research has gone through three stages, which is germination, rapid development and research quality improvement. Public health emergencies, environmental emergency management, public emergencies, emergency logistics, unconventional emergency response, big data research and geographic information system are the main research hotspots. While frontier research focuses on big data, emergency decision-making, smart cities, emergency management departments, national governance, and resilient cities.

Key words: China national knowledge infrastructure(CNKI), CiteSpace, emergency management, emergencies, knowledge map