14 citations as recorded by crossref.

1. Range detection improvement for Irkutsk Incoherent Scatter Radar measurements with Barker code modulation I. Kichigin et al. https://doi.org/10.12737/szf-123202615
2. A Novel Composite Coding Method for Incoherent Scatter Radar H. Chen et al. https://doi.org/10.3390/atmos12111518
3. Hierarchical deconvolution for incoherent scatter radar data S. Ross et al. https://doi.org/10.5194/amt-15-3843-2022
4. The Observation of Traveling Ionospheric Disturbances Using the Sanya Incoherent Scatter Radar S. Xu et al. https://doi.org/10.3390/rs16173126
5. The sporadic sodium layer: a possible tracer for the conjunction between the upper and lower atmospheres S. Qiu et al. https://doi.org/10.5194/acp-21-11927-2021
6. Simulation and Performance Evaluation of Three Types of ISR Coding Systems Y. Guo et al. https://doi.org/10.1109/LGRS.2018.2822266
7. Observations on the variability and screening effect of Sporadic-E S. Ritchie & F. Honary https://doi.org/10.1016/j.jastp.2009.05.008
8. Range detection improvement for Irkutsk Incoherent Scatter Radar measurements with Barker code modulation I. Kichigin et al. https://doi.org/10.12737/stp-121202615
9. Double atmospheric gravity wave frequency oscillations of sporadic E formed in a horizontal shear flow G. Didebulidze & L. Lomidze https://doi.org/10.1016/j.physleta.2009.12.026
10. High‐Resolution Sporadic E Layer Observation Based on Ionosonde Using a Cross‐Spectrum Analysis Imaging Technique T. Liu et al. https://doi.org/10.1029/2022SW003195
11. Range detection improvement for Irkutsk Incoherent Scatter Radar measurements with Barker code modulation I. Kichigin et al. https://doi.org/10.12737/stp-123202615
12. Improved Ionosonde Monitoring of the Sporadic E Layer Using the Frequency Domain Interferometry Technique T. Liu et al. https://doi.org/10.3390/rs14081915
13. Sporadic E Layer with a Structure of Double Cusp in the Vertical Sounding Ionogram K. Yusupov & N. Bakhmetieva https://doi.org/10.3390/atmos12091093
14. Ionosphere Monitoring with Remote Sensing F. Giannattasio https://doi.org/10.3390/rs14215325