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Cited by in F6Publishing
For: 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: 3] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Sinha S, Gupta O, Singh V, Lekshmi B, Nandy D, Mitra D, Chatterjee S, Bhattacharya S, Chatterjee S, Srivastava N, Brandenburg A, Pal S. A Comparative Analysis of Machine-learning Models for Solar Flare Forecasting: Identifying High-performing Active Region Flare Indicators. ApJ 2022;935:45. [DOI: 10.3847/1538-4357/ac7955] [Reference Citation Analysis]
2 Cremades H, Nieves-chinchilla T, Mandrini CH. Editorial: Towards Future Research on Space Weather Drivers. Sol Phys 2021;296. [DOI: 10.1007/s11207-021-01919-w] [Reference Citation Analysis]
3 Ahmadzadeh A, Aydin B, Georgoulis MK, Kempton DJ, Mahajan SS, Angryk RA. How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events. ApJS 2021;254:23. [DOI: 10.3847/1538-4365/abec88] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]