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Review

A Bibliometric Analysis of Geological Hazards Monitoring Technologies

1
Shaanxi Institute of Geo-Environment Monitoring, Shaanxi Institute of Geological Survey, Xi’an 710004, China
2
School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
3
Observation and Research Station of Ground Fissure and land Subsidence, Ministry of Natural Resources, Xi’an 710054, China
4
School of Civil Engineering, Chang’an University, Xi’an 710061, China
*
Author to whom correspondence should be addressed.
Sustainability 2025, 17(3), 962; https://doi.org/10.3390/su17030962
Submission received: 16 December 2024 / Revised: 13 January 2025 / Accepted: 22 January 2025 / Published: 24 January 2025

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.
Keywords: geological hazards; monitoring technology; bibliometric visualization analysis; VOSviewer; sustainable disaster management geological hazards; monitoring technology; bibliometric visualization analysis; VOSviewer; sustainable disaster management

Share and Cite

MDPI and ACS Style

Liu, Z.; Huang, J.; Li, Y.; Liu, X.; Qiang, F.; He, Y. A Bibliometric Analysis of Geological Hazards Monitoring Technologies. Sustainability 2025, 17, 962. https://doi.org/10.3390/su17030962

AMA Style

Liu Z, Huang J, Li Y, Liu X, Qiang F, He Y. A Bibliometric Analysis of Geological Hazards Monitoring Technologies. Sustainability. 2025; 17(3):962. https://doi.org/10.3390/su17030962

Chicago/Turabian Style

Liu, Zhengyao, Jing Huang, Yonghong Li, Xiaokang Liu, Fei Qiang, and Yiping He. 2025. "A Bibliometric Analysis of Geological Hazards Monitoring Technologies" Sustainability 17, no. 3: 962. https://doi.org/10.3390/su17030962

APA Style

Liu, Z., Huang, J., Li, Y., Liu, X., Qiang, F., & He, Y. (2025). A Bibliometric Analysis of Geological Hazards Monitoring Technologies. Sustainability, 17(3), 962. https://doi.org/10.3390/su17030962

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