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For: Anastasiadis A, Papaioannou A, Sandberg I, Georgoulis M, Tziotziou K, Kouloumvakos A, Jiggens P. Predicting Flares and Solar Energetic Particle Events: The FORSPEF Tool. Sol Phys 2017;292. [DOI: 10.1007/s11207-017-1163-7] [Cited by in Crossref: 32] [Cited by in F6Publishing: 18] [Article Influence: 6.4] [Reference Citation Analysis]
Number Citing Articles
1 Papaioannou A, Anastasiadis A, Sandberg I, Jiggens P. Nowcasting of Solar Energetic Particle Events using near real-time Coronal Mass Ejection characteristics in the framework of the FORSPEF tool. J Space Weather Space Clim 2018;8:A37. [DOI: 10.1051/swsc/2018024] [Cited by in Crossref: 12] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
2 Cinto T, Gradvohl ALS, Coelho GP, da Silva AEA. Solar Flare Forecasting Using Time Series and Extreme Gradient Boosting Ensembles. Sol Phys 2020;295. [DOI: 10.1007/s11207-020-01661-9] [Cited by in Crossref: 5] [Cited by in F6Publishing: 1] [Article Influence: 2.5] [Reference Citation Analysis]
3 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: 1] [Article Influence: 1.0] [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] [Reference Citation Analysis]
5 Chertok IM. Diagnostic Analysis of the Solar Proton Flares of September 2017 by Their Radio Bursts. Geomagn Aeron 2018;58:457-63. [DOI: 10.1134/s0016793218040035] [Cited by in Crossref: 10] [Article Influence: 2.5] [Reference Citation Analysis]
6 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]
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: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
8 Aminalragia-giamini S, Papadimitriou C, Sandberg I, Tsigkanos A, Jiggens P, Evans H, Rodgers D, Daglis IA. Artificial intelligence unfolding for space radiation monitor data. J Space Weather Space Clim 2018;8:A50. [DOI: 10.1051/swsc/2018041] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 0.8] [Reference Citation Analysis]
9 Kihara K, Huang Y, Nishimura N, Nitta NV, Yashiro S, Ichimoto K, Asai A. Statistical Analysis of the Relation between Coronal Mass Ejections and Solar Energetic Particles. ApJ 2020;900:75. [DOI: 10.3847/1538-4357/aba621] [Cited by in Crossref: 8] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
10 Georgoulis MK, Bloomfield DS, Piana M, Massone AM, Soldati M, Gallagher PT, Pariat E, Vilmer N, Buchlin E, Baudin F, Csillaghy A, Sathiapal H, Jackson DR, Alingery P, Benvenuto F, Campi C, Florios K, Gontikakis C, Guennou C, Guerra JA, Kontogiannis I, Latorre V, Murray SA, Park S, von Stachelski S, Torbica A, Vischi D, Worsfold M. The flare likelihood and region eruption forecasting (FLARECAST) project: flare forecasting in the big data & machine learning era. J Space Weather Space Clim 2021;11:39. [DOI: 10.1051/swsc/2021023] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
11 Carley EP, Baldovin C, Benthem P, Bisi MM, Fallows RA, Gallagher PT, Olberg M, Rothkaehl H, Vermeulen R, Vilmer N, Barnes D; the LOFAR4SW Consortium. Radio observatories and instrumentation used in space weather science and operations. J Space Weather Space Clim 2020;10:7. [DOI: 10.1051/swsc/2020007] [Cited by in Crossref: 11] [Cited by in F6Publishing: 2] [Article Influence: 5.5] [Reference Citation Analysis]
12 Erdélyi R, Korsós MB, Huang X, Yang Y, Pizzey D, Wrathmall SA, Hughes IG, Dyer MJ, Dhillon VS, Belucz B, Brajša R, Chatterjee P, Cheng X, Deng Y, Domínguez SV, Joya R, Gömöry P, Gyenge NG, Hanslmeier A, Kucera A, Kuridze D, Li F, Liu Z, Xu L, Mathioudakis M, Matthews S, Mcateer JR, Pevtsov AA, Pötzi W, Romano P, Shen J, Temesváry J, Tlatov AG, Triana C, Utz D, Veronig AM, Wang Y, Yan Y, Zaqarashvili T, Zuccarello F. The Solar Activity Monitor Network – SAMNet. J Space Weather Space Clim 2022;12:2. [DOI: 10.1051/swsc/2021025] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
13 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] [Article Influence: 1.0] [Reference Citation Analysis]
14 Rouillard AP, Pinto RF, Vourlidas A, De Groof A, Thompson WT, Bemporad A, Dolei S, Indurain M, Buchlin E, Sasso C, Spadaro D, Dalmasse K, Hirzberger J, Zouganelis I, Strugarek A, Brun AS, Alexandre M, Berghmans D, Raouafi NE, Wiegelmann T, Pagano P, Arge CN, Nieves-chinchilla T, Lavarra M, Poirier N, Amari T, Aran A, Andretta V, Antonucci E, Anastasiadis A, Auchère F, Bellot Rubio L, Nicula B, Bonnin X, Bouchemit M, Budnik E, Caminade S, Cecconi B, Carlyle J, Cernuda I, Davila JM, Etesi L, Espinosa Lara F, Fedorov A, Fineschi S, Fludra A, Génot V, Georgoulis MK, Gilbert HR, Giunta A, Gomez-herrero R, Guest S, Haberreiter M, Hassler D, Henney CJ, Howard RA, Horbury TS, Janvier M, Jones SI, Kozarev K, Kraaikamp E, Kouloumvakos A, Krucker S, Lagg A, Linker J, Lavraud B, Louarn P, Maksimovic M, Maloney S, Mann G, Masson A, Müller D, Önel H, Osuna P, Orozco Suarez D, Owen CJ, Papaioannou A, Pérez-suárez D, Rodriguez-pacheco J, Parenti S, Pariat E, Peter H, Plunkett S, Pomoell J, Raines JM, Riethmüller TL, Rich N, Rodriguez L, Romoli M, Sanchez L, Solanki SK, St Cyr OC, Straus T, Susino R, Teriaca L, del Toro Iniesta JC, Ventura R, Verbeeck C, Vilmer N, Warmuth A, Walsh AP, Watson C, Williams D, Wu Y, Zhukov AN. Models and data analysis tools for the Solar Orbiter mission. A&A 2020;642:A2. [DOI: 10.1051/0004-6361/201935305] [Cited by in Crossref: 27] [Cited by in F6Publishing: 10] [Article Influence: 13.5] [Reference Citation Analysis]
15 Sadykov VM, Kosovichev AG. Relationships between Characteristics of the Line-of-sight Magnetic Field and Solar Flare Forecasts. ApJ 2017;849:148. [DOI: 10.3847/1538-4357/aa9119] [Cited by in Crossref: 20] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
16 Mishev A, Jiggens P. Preface to measurement, specification and forecasting of the Solar Energetic Particle (SEP) environment and Ground Level Enhancements (GLEs). J Space Weather Space Clim 2019;9:E1. [DOI: 10.1051/swsc/2019003] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
17 Du C, Ao X, Luo B, Wang J, Chen C, Xiong X, Wang X, Li G. Ensemble Numerical Simulations of Realistic SEP Events and the Inspiration for Space Weather Awareness. Res Astron Astrophys 2022;22:025003. [DOI: 10.1088/1674-4527/ac3adb] [Reference Citation Analysis]
18 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: 4] [Article Influence: 2.3] [Reference Citation Analysis]
19 Cinto T, Gradvohl ALS, Coelho GP, da Silva AEA. A framework for designing and evaluating solar flare forecasting systems. Monthly Notices of the Royal Astronomical Society 2020;495:3332-49. [DOI: 10.1093/mnras/staa1257] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
20 Abed AK, Qahwaji R, Abed A. The automated prediction of solar flares from SDO images using deep learning. Advances in Space Research 2021;67:2544-57. [DOI: 10.1016/j.asr.2021.01.042] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 6.0] [Reference Citation Analysis]
21 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]
22 Tang R, Liao W, Chen Z, Zeng X, Wang J, Luo B, Chen Y, Cui Y, Zhou M, Deng X, Li H, Yuan K, Hong S, Wu Z. Solar Flare Prediction Based on the Fusion of Multiple Deep-learning Models. ApJS 2021;257:50. [DOI: 10.3847/1538-4365/ac249e] [Reference Citation Analysis]
23 Park E, Moon Y, Shin S, Yi K, Lim D, Lee H, Shin G. Application of the Deep Convolutional Neural Network to the Forecast of Solar Flare Occurrence Using Full-disk Solar Magnetograms. ApJ 2018;869:91. [DOI: 10.3847/1538-4357/aaed40] [Cited by in Crossref: 27] [Cited by in F6Publishing: 9] [Article Influence: 6.8] [Reference Citation Analysis]
24 Kontogiannis I, Georgoulis MK, Guerra JA, Park S, Bloomfield DS. Which Photospheric Characteristics Are Most Relevant to Active-Region Coronal Mass Ejections? Sol Phys 2019;294. [DOI: 10.1007/s11207-019-1523-6] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
25 Temmer M. Space weather: the solar perspective: An update to Schwenn (2006). Living Rev Sol Phys 2021;18. [DOI: 10.1007/s41116-021-00030-3] [Cited by in Crossref: 6] [Article Influence: 6.0] [Reference Citation Analysis]
26 Laurenza M, Alberti T, Cliver EW. A Short-term ESPERTA-based Forecast Tool for Moderate-to-extreme Solar Proton Events. ApJ 2018;857:107. [DOI: 10.3847/1538-4357/aab712] [Cited by in Crossref: 19] [Cited by in F6Publishing: 1] [Article Influence: 4.8] [Reference Citation Analysis]