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A Bibliometric Analysis of Geological Hazards Monitoring Technologies

Author

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  • Zhengyao Liu

    (Shaanxi Institute of Geo-Environment Monitoring, Shaanxi Institute of Geological Survey, Xi’an 710004, China
    School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
    Observation and Research Station of Ground Fissure and land Subsidence, Ministry of Natural Resources, Xi’an 710054, China)

  • Jing Huang

    (Observation and Research Station of Ground Fissure and land Subsidence, Ministry of Natural Resources, Xi’an 710054, China
    School of Civil Engineering, Chang’an University, Xi’an 710061, China)

  • Yonghong Li

    (Shaanxi Institute of Geo-Environment Monitoring, Shaanxi Institute of Geological Survey, Xi’an 710004, China
    Observation and Research Station of Ground Fissure and land Subsidence, Ministry of Natural Resources, Xi’an 710054, China)

  • Xiaokang Liu

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Fei Qiang

    (Shaanxi Institute of Geo-Environment Monitoring, Shaanxi Institute of Geological Survey, Xi’an 710004, China
    Observation and Research Station of Ground Fissure and land Subsidence, Ministry of Natural Resources, Xi’an 710054, China)

  • Yiping He

    (Shaanxi Institute of Geo-Environment Monitoring, Shaanxi Institute of Geological Survey, Xi’an 710004, China
    Observation and Research Station of Ground Fissure and land Subsidence, Ministry of Natural Resources, Xi’an 710054, China)

Abstract

This study systematically analyzed research trends and hot issues in the field of geological hazard prediction using bibliometric analysis methods. A total of 12,123 related articles published from 1976 to 2023 were retrieved from the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases. Co-occurrence analysis and burst detection were conducted on the literature using the VOSviewer and CiteSpace tools to identify the research trends in geological hazard monitoring technologies. The results reveal that “data fusion”, “landslide identification”, “deep learning”, and “risk early warning” are currently the main research hot spots. Additionally, the combined application of Global Navigation Satellite System (GNSS) and Real-Time Kinematic (RTK) technologies, as well as GNSS and Long Short-Term Memory (LSTM) models, were identified as important directions for future research. The bibliometric perspective offers a systematic theoretical framework and technical guidance for future research, thereby facilitating the sustainable advancement of safety, security, and disaster management.

Suggested Citation

  • Zhengyao Liu & Jing Huang & Yonghong Li & Xiaokang Liu & Fei Qiang & Yiping He, 2025. "A Bibliometric Analysis of Geological Hazards Monitoring Technologies," Sustainability, MDPI, vol. 17(3), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:3:p:962-:d:1576430
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    References listed on IDEAS

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