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Cited by in F6Publishing
For: Papaioannou A, Anastasiadis A, Kouloumvakos A, Paassilta M, Vainio R, Valtonen E, Belov A, Eroshenko E, Abunina M, Abunin A. Nowcasting Solar Energetic Particle Events Using Principal Component Analysis. Sol Phys 2018;293. [DOI: 10.1007/s11207-018-1320-7] [Cited by in Crossref: 14] [Cited by in F6Publishing: 4] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
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2 Okike O, Alhassan JA. Preliminary investigation of the multivariate relations between program-selected forbush decreases, worldwide lightning frequency, sunspot number and other solar-terrestrial drivers. Eur Phys J Plus 2022;137. [DOI: 10.1140/epjp/s13360-022-02514-z] [Reference Citation Analysis]
3 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: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
4 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]
5 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]
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: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 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: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 Paouris E, Vourlidas A, Papaioannou A, Anastasiadis A. Assessing the Projection Correction of Coronal Mass Ejection Speeds on Time‐of‐Arrival Prediction Performance Using the Effective Acceleration Model. Space Weather 2021;19. [DOI: 10.1029/2020sw002617] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
9 Liang G, Niu D, Liang Y. Core Competitiveness Evaluation of Clean Energy Incubators Based on Matter-Element Extension Combined with TOPSIS and KPCA-NSGA-II-LSSVM. Sustainability 2020;12:9570. [DOI: 10.3390/su12229570] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
10 Miteva R. On extreme space weather events: Solar eruptions, energetic protons and geomagnetic storms. Advances in Space Research 2020;66:1977-91. [DOI: 10.1016/j.asr.2020.07.006] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
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12 Camporeale E. The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting. Space Weather 2019;17:1166-207. [DOI: 10.1029/2018sw002061] [Cited by in Crossref: 111] [Cited by in F6Publishing: 81] [Article Influence: 37.0] [Reference Citation Analysis]
13 Kouloumvakos A, Rouillard AP, Wu Y, Vainio R, Vourlidas A, Plotnikov I, Afanasiev A, Önel H. Connecting the Properties of Coronal Shock Waves with Those of Solar Energetic Particles. ApJ 2019;876:80. [DOI: 10.3847/1538-4357/ab15d7] [Cited by in Crossref: 44] [Cited by in F6Publishing: 14] [Article Influence: 14.7] [Reference Citation Analysis]
14 Kahler SW, Ling AG. Forecasting Solar Energetic Particle (SEP) events with Flare X-ray peak ratios. J Space Weather Space Clim 2018;8:A47. [DOI: 10.1051/swsc/2018033] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]