24 citations as recorded by crossref.

1. Data-driven approach to mid-latitude coherent scatter radar data classification O. Berngardt https://doi.org/10.12737/szf-112202503
2. Climatology of HF Propagation Characteristics at Very High Latitudes From SuperDARN Observations P. Ponomarenko & K. McWilliams https://doi.org/10.1029/2023RS007657
3. The implementation of deep clustering for SuperDARN backscatter echoes X. Kong et al. https://doi.org/10.1016/j.asr.2024.03.039
4. Self-learning signal classifier for HF coherent scatter radars O. Berngardt & I. Lavygin https://doi.org/10.1016/j.asr.2025.11.074
5. Application of Deep Clustering Algorithm in Target Echo Classification of SuperDARN Radar X. KONG et al. https://doi.org/10.11728/cjss2024.05.2023-0136
6. Simultaneous ground‐based optical and HF radar observations of the ionospheric footprint of the open/closed field line boundary along the geomagnetic meridian X. Chen et al. https://doi.org/10.1002/2015JA021481
7. Application of small-size antennas for estimation of angles of arrival of HF signals scattered by ionospheric irregularities Q. Guo et al. https://doi.org/10.1016/j.asr.2018.02.014
8. Data-driven approach to mid-latitude coherent scatter radar data classification O. Berngardt https://doi.org/10.12737/stp-112202503
9. Borealis: An Advanced Digital Hardware and Software Design for SuperDARN Radar Systems K. McWilliams et al. https://doi.org/10.1029/2022RS007591
10. F region ionosphere effects on the mapping accuracy of SuperDARN HF radar echoes X. Chen et al. https://doi.org/10.1002/2016RS005957
11. Optimal F Region Electron Density for the PolarDARN Radar Echo Detection Near the Resolute Bay Zenith A. Koustov et al. https://doi.org/10.1029/2018RS006566
12. Comparison of SuperDARN peak electron density estimates based on elevation angle measurements to ionosonde and incoherent scatter radar measurements A. Koustov et al. https://doi.org/10.1186/s40623-020-01170-w
13. Using Data Assimilation to Reconstruct High‐Latitude Polar Cap Patches M. Negale et al. https://doi.org/10.1029/2019RS006937
14. Method for estimating parameters of multi-mode signals measured at SECIRA radars O. Berngardt https://doi.org/10.12737/stp-122202609
15. Method for estimating parameters of multi-mode signals measured at SECIRA radars O. Berngardt https://doi.org/10.12737/szf-122202609
16. Deriving Global Convection Maps From SuperDARN Measurements J. Gjerloev et al. https://doi.org/10.1002/2017JA024543
17. Interferometric Study of Ionospheric Plasma Irregularities in Regions of Phase Scintillations and HF Backscatter A. Spicher et al. https://doi.org/10.1029/2021GL097013
18. Large‐Scale Comparison of Polar Cap Ionospheric Velocities Measured by RISR‐C, RISR‐N, and SuperDARN R. Gillies et al. https://doi.org/10.1029/2017RS006435
19. SuperDARN backscatter during intense geomagnetic storms J. Currie et al. https://doi.org/10.1002/2016RS005960
20. Local time extent of magnetopause reconnection using space–ground coordination Y. Zou et al. https://doi.org/10.5194/angeo-37-215-2019
21. Dependence of spectral width of ionosphericFregion HF echoes on electric field A. Kozlovsky et al. https://doi.org/10.1029/2011JA016804
22. A Quantitative Analysis of the Uncertainties on Reconnection Electric Field Estimates Using Ionospheric Measurements S. Gasparini et al. https://doi.org/10.1029/2024JA032599
23. Validation of Clyde River SuperDARN radar velocity measurements with the RISR-C incoherent scatter radar A. Koustov et al. https://doi.org/10.5194/angeo-36-1657-2018
24. Statistical characteristics of small‐scale spatial and temporal electric field variability in the high‐latitude ionosphere E. Cousins & S. Shepherd https://doi.org/10.1029/2011JA017383