13 citations as recorded by crossref.

1. Statistical Relationship of Ionospheric Disturbances Caused by Typhoon Extinction on the Sea X. Du et al. 10.1029/2023JA031706
2. Tunneling of acoustic-gravity waves through critical levels to the upper atmosphere N. Gavrilov et al. 10.1016/j.asr.2024.12.005
3. Ionospheric and Atmospheric Response to Extremely Severe Cyclonic Storm Nida of 29 July–02 August 2016 S. Kumar et al. 10.1029/2023JA031422
4. Seasonal variations of mesoscale perturbations of OH and O2 rotational temperature in Rikubetsu, Shigaraki and Sata N. Gavrilov et al. 10.1016/j.asr.2025.06.023
5. Optimised CNN-LSTM-Attention deep learning network model based on RIME algorithm for predicting HFSWR gravity wave parameters during Typhoon Muifa (2022) X. Chen et al. 10.1016/j.asr.2024.12.079
6. Chaotic Properties of Gravity Waves during Typhoons Observed by HFSWR X. Chen et al. 10.3390/rs15215235
7. Momentum flux characteristics of vertically propagating gravity waves P. Nyassor et al. 10.5194/acp-25-4053-2025
8. Upper-atmosphere responses to the 2022 Hunga Tonga–Hunga Ha′apai volcanic eruption via acoustic gravity waves and air–sea interaction Q. Li et al. 10.5194/acp-24-8343-2024
9. Dynamics, chemistry, and modeling studies in the aviation and aerospace transition zone Z. Sheng et al. 10.1016/j.xinn.2025.101012
10. Dynamics of Thermospheric Traveling Atmospheric Disturbance During a Geomagnetic Storm B. Liu et al. 10.1029/2023JA031448
11. Construction and Research Progress of the Chinese Meridian Project in 2022–2023 C. WANG et al. 10.11728/cjss2024.04.2024-yg20
12. Optimized dual-input dual-output TCN-BiLSTM deep learning network model based on Harris Hawk algorithm to predict ionospheric and gravity wave parameters of HFSWR during typhoon X. Chen et al. 10.1016/j.asr.2025.07.081
13. Study on the Distribution of Gravity Wave (GW) Activity in Six Bay of Bengal Tropical Cyclones K. Nanda et al. 10.3390/atmos16020235