Weygand, J. M., Zhelavskaya, I., Shprits, Y., (2021), A Comparison of the Location of the Mid-Latitude Trough and Plasmapause Boundary, JGR: Space Physics Volume 126, Issue 4, https://doi.org/10.1029/2020JA028213

Cahuasqui, J. A., Hoque, M. M., Jakowski, N., (2022), Positioning performance of the Neustrelitz total electron content model driven by Galileo Az coefficients, GPS Solutions, Volume 26, Article number: 93, https://doi.org/10.1007/s10291-022-01278-4

Adolfs, M., Hoque, M. M., (2021), A Neural Network-Based TEC Model Capable of Reproducing Nighttime Winter Anomaly, Remote Sens. 2021, 13(22), 4559, https://doi.org/10.3390/rs13224559

Hoque, M. M., Jakowski, N., Prol, F. S., (2022), A new climatological electron density model for supporting space weather services, J. Space Weather Space Clim. Volume 12, https://doi.org/10.1051/swsc/2021044

Prol, F. S., Smirnov, A.G., Hoque, M. M., Shrprits, Y. Y., (2022), Combined model of topside ionosphere and plasmasphere derived from radio-occultation and Van Allen Probes data, Scientific Reports 12, 9732, https://doi.org/10.1038/s41598-022-13302-1

Prol, F. S.; Kodikara, T.; Hoque, M. M.; Borries, C., (2021), Global‐Scale Ionospheric Tomography During the March 17, 2015 Geomagnetic Storm, Space Weather, Band 19, 12, https://doi.org/10.1029/2021SW002889

Prol, F. S., M. M. Hoque (2022), A Method Tomographic Method for the Reconstruction of the Plasmasphere Based on COSMIC/FORMOSAT-3 Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2197-2208, https://doi: 10.1109/JSTARS.2022.3155926.

Smirnov, A., Y. Shprits, I. Zhelavskaya, H. Lühr, C. Xiong, A. Goss, A., et al., (2021), Intercalibration of the plasma density measurements in Earth's topside ionosphere. Journal of Geophysical Research: Space Physics, 126, e2021JA029334. https://doi.org/10.1029/2021JA029334

Allison, H., Y.Y Shprits, I. S. Zhelavskaya, D. Wang, A. Smirnov (2021), Gyroresonant Wave-particle Interactions with Chorus Waves During Extreme Depletions of Plasma Density in the Van Allen Radiation Belts, Science Advances, 7, 5, eabc0380. https://doi.org/10.1126/sciadv.abc0380

Prol, F.S., M. M. Hoque (2021), Topside Ionosphere and Plasmasphere Modelling Using GNSS Radio Occultation and POD Data. Remote Sens. 2021, 13, 1559. https://doi.org/10.3390/rs13081559

Jakowski, N., M. M. Hoque (2021), Global equivalent slab thickness model of the Earth’s ionosphere. J. Space Weather. Space Clim.,11, 10, https://doi.org/10.1051/swsc/2020083

Zhelavskaya, I., N. Aseev, Y. Shprits (2021), A combined neural network‐ and physics‐based approach for modeling plasmasphere dynamics. Journal of Geophysical Research: Space Physics, 126, 3, e2020JA028077. https://doi.org/10.1029/2020JA028077

Allison, H., Y.Y Shprits, I. S. Zhelavskaya, D. Wang, A. Smirnov (2021), Gyroresonant Wave-particle Interactions with Chorus Waves During Extreme Depletions of Plasma Density in the Van Allen Radiation Belts, Science Advances, 7, 5, eabc0380. https://doi.org/10.1126/sciadv.abc0380

Prol, F. S., M. M. Hoque, A. A. Ferreira (2021). Plasmasphere and Topside Ionosphere Reconstruction using METOP Satellite Data during Geomagnetic Storms. J. Space Weather. Space Clim., 11,5, doi:10.1051/swsc/2020076

Kume, K., Y. Y. Shprits, A. Smirnov, I. Zhelavskaya, R. Vasile and S. Bianco (2021), A systematic approach for modeling global electron content using machine learning, submitted to Space Weather

Kume, K., Y. Y. Shprits, A. Smirnov, I. Zhelavskaya, R. Vasile and S. Bianco(2022), A neural-network approach for spatially modeling VTEC, submitted to Space Weather