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Exploring Knowledge Domain of Intelligent Safety and Security Studies by Bibliometric Analysis

Author

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  • Ting Mei

    (College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Hui Liu

    (College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Bingrui Tong

    (College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Chaozhen Tong

    (Ningbo Qianye Safety Science & Technology Co., Ningbo 315042, China)

  • Junjie Zhu

    (College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Yuxuan Wang

    (College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Mengyao Kou

    (College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

Abstract

Intelligent safety and security is significant for preventing risks, ensuring information security and promoting sustainable social development, making it an indispensable part of modern society. Current research primarily focuses on the knowledge base and research hotspots in the field of intelligent safety and security. However, a comprehensive mapping of its overall knowledge structure remains lacking. A total of 1400 publications from the Web of Science Core Collection (2013–2023) are analyzed using VOSviewer and CiteSpace, through which co-occurrence analysis, keyword burst detection, and co-citation analysis are conducted. Through this approach, this analysis systematically uncovers the core themes, evolutionary trajectories, and emerging trends in intelligent safety and security research. Unlike previous bibliometric studies, this study is the first to integrate multiple visualization techniques to construct a holistic framework of the intelligent safety and security knowledge system. Additionally, it offers an in-depth analysis of key topics such as IoT security, intelligent transportation systems, smart cities, and smart grids, providing quantitative insights to guide future research directions. The results show that the most significant number of publications are from China; the top position on the list of papers published by related institutions is occupied by King Saud University from Saudi Arabia. Renewable and Sustainable Energy Reviews , Sustainable Cities and Society , and IEEE Transactions on Intelligent Transportation Systems are identified as the leading publications in this field. The decentralization of blockchain technology, the security and challenges of the Internet of Things (IoT), and research on intelligent cities and smart homes have formed the knowledge base for innovative security research. The four key directions of intelligent safety and security research mainly comprise IoT security, intelligent transportation systems, traffic safety and its far-reaching impact, and the utilization of smart grids and renewable energy. Research on IoT technology, security, and limitations is at the forefront of interest in this area.

Suggested Citation

  • Ting Mei & Hui Liu & Bingrui Tong & Chaozhen Tong & Junjie Zhu & Yuxuan Wang & Mengyao Kou, 2025. "Exploring Knowledge Domain of Intelligent Safety and Security Studies by Bibliometric Analysis," Sustainability, MDPI, vol. 17(4), pages 1-26, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:4:p:1475-:d:1588727
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    References listed on IDEAS

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