BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Lavasa E, Giannopoulos G, Papaioannou A, Anastasiadis A, Daglis IA, Aran A, Pacheco D, Sanahuja B. Assessing the Predictability of Solar Energetic Particles with the Use of Machine Learning Techniques. Sol Phys 2021;296. [DOI: 10.1007/s11207-021-01837-x] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 8.0] [Reference Citation Analysis]
Number Citing Articles
1 Belov A, Shlyk N, Abunina M, Belova E, Abunin A, Papaioannou A. Solar Energetic Particle Events and Forbush Decreases Driven by the Same Solar Sources. Universe 2022;8:403. [DOI: 10.3390/universe8080403] [Reference Citation Analysis]
2 Whitman K, Egeland R, Richardson IG, Allison C, Quinn P, Barzilla J, Kitiashvili I, Sadykov V, Bain HM, Dierckxsens M, Leila Mays M, Tadesse T, Lee KT, Semones E, Luhmann JG, Núñez M, White SM, Kahler SW, Ling AG, Smart DF, Shea MA, Tenishev V, Boubrahimi SF, Aydin B, Martens P, Angryk R, Marsh MS, Dalla S, Crosby N, Schwadron NA, Kozarev K, Gorby M, Young MA, Laurenza M, Cliver EW, Alberti T, Stumpo M, Benella S, Papaioannou A, Anastasiadis A, Sandberg I, Georgoulis MK, Ji A, Kempton D, Pandey C, Li G, Hu J, Zank GP, Lavasa E, Giannopoulos G, Falconer D, Kadadi Y, Fernandes I, Dayeh MA, Muñoz-jaramillo A, Chatterjee S, Moreland KD, Sokolov IV, Roussev II, Taktakishvili A, Effenberger F, Gombosi T, Huang Z, Zhao L, Wijsen N, Aran A, Poedts S, Kouloumvakos A, Paassilita M, Vainio R, Belov A, Eroshenko EA, Abunina MA, Abunin AA, Balch CC, Malandraki O, Karavolos M, Heber B, Labrenz J, Kühl P, Kosovichev AG, Oria V, Nita GM, Illarionov E, O’keefe PM, Jiang Y, Fereira SH, Ali A, Paouris E, Aminalragia-giamini S, Jiggens P, Jin M, Lee CO, Palmerio E, Bruno A, Kasapis S, Wang X, Chen Y, Sanahuja B, Lario D, Jacobs C, Strauss DT, Steyn R, den Berg J, Swalwell B, Waterfall C, Nedal M, Miteva R, Dechev M, Zucca P, Engell A, Maze B, Farmer H, Kerber T, Barnett B, Loomis J, Grey N, Thompson BJ, Linker JA, Caplan RM, Downs C, Török T, Lionello R, Titov V, Zhang M, Hosseinzadeh P. Review of Solar Energetic Particle Models. Advances in Space Research 2022. [DOI: 10.1016/j.asr.2022.08.006] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Palmerio E, Lee CO, Mays ML, Luhmann JG, Lario D, Sánchez‐cano B, Richardson IG, Vainio R, Stevens ML, Cohen CMS, Steinvall K, Möstl C, Weiss AJ, Nieves‐chinchilla T, Li Y, Larson DE, Heyner D, Bale SD, Galvin AB, Holmström M, Khotyaintsev YV, Maksimovic M, Mitrofanov IG. CMEs and SEPs During November–December 2020: A Challenge for Real‐Time Space Weather Forecasting. Space Weather 2022;20. [DOI: 10.1029/2021sw002993] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Kasapis S, Zhao L, Chen Y, Wang X, Bobra M, Gombosi T. Interpretable Machine Learning to Forecast SEP Events for Solar Cycle 23. Space Weather 2022;20. [DOI: 10.1029/2021sw002842] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
5 Núñez M. Evaluation of the UMASEP-10 Version 2 Tool for Predicting All >10 MeV SEP Events of Solar Cycles 22, 23 and 24. Universe 2022;8:35. [DOI: 10.3390/universe8010035] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Papaioannou A, Vainio R, Raukunen O, Jiggens P, Aran A, Dierckxsens M, Mallios SA, Paassilta M, Anastasiadis A. The probabilistic solar particle event forecasting (PROSPER) model. J Space Weather Space Clim 2022;12:24. [DOI: 10.1051/swsc/2022019] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 Stumpo M, Benella S, Laurenza M, Alberti T, Consolini G, Marcucci MF. Open Issues in Statistical Forecasting of Solar Proton Events: A Machine Learning Perspective. Space Weather 2021;19. [DOI: 10.1029/2021sw002794] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]