30 citations as recorded by crossref.

1. Seismic signal characteristics and interpretation of the 2020 “6.17” Danba landslide dam failure hazard chain process Y. Yan et al. https://doi.org/10.1007/s10346-021-01657-x
2. Low-Frequency Ground Vibrations Generated by Debris Flows Detected by a Lab-Fabricated Seismometer C. Huang et al. https://doi.org/10.3390/s22239310
3. Extracting region-specific runout behavior and rainfall thresholds for massive landslides using seismic records: a case study in southern Taiwan C. Hung et al. https://doi.org/10.1007/s10064-018-1384-5
4. Movement of deep-seated rainfall-induced landslide at Hsiaolin Village during Typhoon Morakot Y. Kuo et al. https://doi.org/10.1007/s10346-012-0315-y
5. Mechanism of a Hair Cell Bioinspired Sensor with Ultrasensitivity to Weak and Low Frequency Vibration Signals L. Liu & Y. Lei https://doi.org/10.1155/2013/278151
6. Detection of microwave emission due to rock fracture as a new tool for geophysics: A field test at a volcano in Miyake Island, Japan T. Takano et al. https://doi.org/10.1016/j.jappgeo.2013.03.016
7. A seismological study of landquakes using a real-time broad-band seismic network C. Chen et al. https://doi.org/10.1093/gji/ggt121
8. The seismic signatures of the surge wave from the 2009 Xiaolin landslide‐dam breach in Taiwan Z. Feng https://doi.org/10.1002/hyp.8239
9. A systematic approach for the assessment of flooding hazard and risk associated with a landslide dam S. Yang et al. https://doi.org/10.1007/s11069-012-0344-9
10. Evaluating critical rainfall conditions for large-scale landslides by detecting event times from seismic records H. Kuo et al. https://doi.org/10.5194/nhess-18-2877-2018
11. Mechanism of Bio-Inspired Ultrasensitive Low Frequency Sensor with Mechanics Analysis L. Liu & Y. Lei https://doi.org/10.4028/www.scientific.net/AMM.252.162
12. Seismic signal recognition and interpretation of the 2019 “7.23” Shuicheng landslide by seismogram stations Y. Yan et al. https://doi.org/10.1007/s10346-020-01358-x
13. Identification of deformation and failure characteristics in cataclinal slopes using physical modeling C. Lo & M. Weng https://doi.org/10.1007/s10346-016-0735-1
14. Future change of the potential landslide disasters as evaluated from precipitation data simulated by MRI‐AGCM3.1 Y. Oku & E. Nakakita https://doi.org/10.1002/hyp.9833
15. Characterization and interpretation of seismic signals generated by 7th February 2021, Dhauliganga disaster (India) K. Gupta et al. https://doi.org/10.1016/j.jappgeo.2023.105018
16. Unraveling landslide failure mechanisms with seismic signal analysis for enhanced pre-survey understanding J. Chang et al. https://doi.org/10.5194/nhess-25-451-2025
17. Modeling Two‐Phase Debris Flows With Grain‐Fluid Separation Over Rugged Topography: Application to the 2009 Hsiaolin Event, Taiwan Y. Tai et al. https://doi.org/10.1029/2018JF004671
18. Shaking table test of acceleration response of surrounding rock of the 3D cross tunnel under earthquake L. Pai et al. https://doi.org/10.1177/10775463211039901
19. The characteristics of the seismic signals induced by landslides using a coupling of discrete element and finite difference methods Z. Feng et al. https://doi.org/10.1007/s10346-016-0714-6
20. Joint detection and classification of rockfalls in a microseismic monitoring network L. Feng et al. https://doi.org/10.1093/gji/ggaa287
21. Characterizing Giant Landslides D. Petley https://doi.org/10.1126/science.1236165
22. Using real-time abnormal hydrology observations to identify a river blockage event resulted from a natural dam S. Lee et al. https://doi.org/10.1007/s10346-013-0441-1
23. Characterizing large rockfalls using their seismic signature: A case study of Hongya rockfall W. Li et al. https://doi.org/10.1016/j.enggeo.2023.107222
24. Two-phase approach to modeling the grain-fluid flows with deposition and entrainment over rugged topography H. Wong et al. https://doi.org/10.1016/j.advwatres.2024.104691
25. Seismic detection of rockslides at regional scale: examples from the Eastern Alps and feasibility of kurtosis-based event location F. Fuchs et al. https://doi.org/10.5194/esurf-6-955-2018
26. Energy-Based Analysis of Mechanisms of Earthquake-Induced Landslide Using Hilbert–Huang Transform and Marginal Spectrum G. Fan et al. https://doi.org/10.1007/s00603-017-1245-8
27. A Novel Sensor Prototype with Enhanced and Adaptive Sensitivity Based on Negative Stiffness Mechanism L. Liu et al. https://doi.org/10.3390/s20164644
28. Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 “6.24” Xinmo landslide Y. Yan et al. https://doi.org/10.1016/j.enggeo.2020.105582
29. Characteristics and interpretation of the seismic signal of a field-scale landslide dam failure experiment Y. Yan et al. https://doi.org/10.1007/s11629-016-4103-3
30. Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction Y. Yan et al. https://doi.org/10.5194/esurf-10-1233-2022