17 citations as recorded by crossref.

1. Improvement of wave predictions in marginal seas around Korea through correction of simulated sea winds D. Son et al. 10.1016/j.apor.2022.103433
2. Rogue waves in 2006–2010 I. Nikolkina & I. Didenkulova 10.5194/nhess-11-2913-2011
3. Reexamination of the magnitudes for the 1906 and 1922 Chilean earthquakes using Japanese tsunami amplitudes: Implications for source depth constraints M. Carvajal et al. 10.1002/2016JB013269
4. Progress report on addressing meteotsunami risk in the eastern Yellow Sea M. Kim et al. 10.1088/1748-9326/ac3e21
5. Quantifying surfcam imagery to measure the 2022 Hunga Tonga-Hunga Ha'apai tsunami along the California coast S. McGill et al. 10.1016/j.coastaleng.2023.104405
6. Meteorological Water Surface Disturbance in Tsunami Frequency Band near Ulleung Island on the East Sea of Korea E. Lee et al. 10.2112/JCOASTRES-D-22TM-00007.1
7. Occurrence of pressure-forced meteotsunami events in the eastern Yellow Sea during 2010–2019 M. Kim et al. 10.5194/nhess-21-3323-2021
8. Numerical Modeling of Meteotsunami–Tide Interaction in the Eastern Yellow Sea K. Heo et al. 10.3390/atmos10070369
9. Catalogue of rogue waves reported in media in 2006–2010 I. Nikolkina & I. Didenkulova 10.1007/s11069-011-9945-y
10. Depth Inversion in the Surf Zone with Inclusion of Wave Nonlinearity Using Video-Derived Celerity J. Yoo et al. 10.1061/(ASCE)WW.1943-5460.0000068
11. Freak wave events in 2005–2021: statistics and analysis of favourable wave and wind conditions E. Didenkulova et al. 10.5194/nhess-23-1653-2023
12. Possible influence of the large-scale environment on extreme waves over the Yellow Sea in boreal spring H. Kim et al. 10.1088/2515-7620/ad74cf
13. Twenty-Seven Years of Progress in the Science of Meteorological Tsunamis Following the 1992 Daytona Beach Event A. Rabinovich 10.1007/s00024-019-02349-3
14. Wave prediction in a port using a fully nonlinear Boussinesq wave model Y. Choi et al. 10.1007/s13131-019-1456-2
15. Dynamics of surface and internal long waves generated by atmospheric pressure disturbances Y. Choi & T. Jo 10.1016/j.apor.2018.04.010
16. Cameras as clocks E. Welty et al. 10.3189/2013JoG12J126
17. Wave Data Assimilation to Modify Wind Forcing Using an Ensemble Kalman Filter J. Kim et al. 10.1007/s12601-020-0020-z