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Cited by in F6Publishing
For: Núñez M, Paul-pena D. Predicting >10 MeV SEP Events from Solar Flare and Radio Burst Data. Universe 2020;6:161. [DOI: 10.3390/universe6100161] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Pandey C, Ji A, Angryk RA, Georgoulis MK, Aydin B. Towards coupling full-disk and active region-based flare prediction for operational space weather forecasting. Front Astron Space Sci 2022;9:897301. [DOI: 10.3389/fspas.2022.897301] [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 Miteva R, Samwel SW, Zabunov S. Solar Radio Bursts Associated with In Situ Detected Energetic Electrons in Solar Cycles 23 and 24. Universe 2022;8:275. [DOI: 10.3390/universe8050275] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Miteva R, Samwel SW. M-Class Solar Flares in Solar Cycles 23 and 24: Properties and Space Weather Relevance. Universe 2022;8:39. [DOI: 10.3390/universe8010039] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [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 Aminalragia-giamini S, Raptis S, Anastasiadis A, Tsigkanos A, Sandberg I, Papaioannou A, Papadimitriou C, Jiggens P, Aran A, Daglis IA. Solar Energetic Particle Event occurrence prediction using Solar Flare Soft X-ray measurements and Machine Learning. J Space Weather Space Clim 2021;11:59. [DOI: 10.1051/swsc/2021043] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [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]
8 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]