High performing extraction procedure for the one-diode model of a photovoltaic panel from experimental I–V curves by using reduced forms A Laudani, FR Fulginei, A Salvini Solar Energy 103, 316-326, 2014 | 253 | 2014 |

Identification of the one-diode model for photovoltaic modules from datasheet values A Laudani, FR Fulginei, A Salvini Solar energy 108, 432-446, 2014 | 212 | 2014 |

Parameter extraction of two diode solar PV model using Fireworks algorithm TS Babu, JP Ram, K Sangeetha, A Laudani, N Rajasekar Solar energy 140, 265-276, 2016 | 208 | 2016 |

Reduced-form of the photovoltaic five-parameter model for efficient computation of parameters A Laudani, F Mancilla-David, F Riganti-Fulginei, A Salvini Solar Energy 97, 122-127, 2013 | 101 | 2013 |

On training efficiency and computational costs of a feed forward neural network: A review A Laudani, GM Lozito, F Riganti Fulginei, A Salvini Computational intelligence and neuroscience 2015 (1), 818243, 2015 | 96 | 2015 |

A neural network-based low-cost solar irradiance sensor F Mancilla-David, F Riganti-Fulginei, A Laudani, A Salvini IEEE Transactions on Instrumentation and Measurement 63 (3), 583-591, 2013 | 96 | 2013 |

Spin-Hall nano-oscillator: A micromagnetic study A Giordano, M Carpentieri, A Laudani, G Gubbiotti, B Azzerboni, ... Applied Physics Letters 105 (4), 2014 | 73 | 2014 |

An in-depth analysis of the modelling of organic solar cells using multiple-diode circuits F De Castro, A Laudani, FR Fulginei, A Salvini Solar Energy 135, 590-597, 2016 | 53 | 2016 |

Automatic and parallel optimized learning for neural networks performing MIMO applications FR Fulginei, A Laudani, A Salvini, M Parodi Advances in Electrical and Computer Engineering 13 (1), 3-13, 2013 | 50 | 2013 |

An effective neural network approach to reproduce magnetic hysteresis in electrical steel under arbitrary excitation waveforms SQ Antonio, FR Fulginei, A Laudani, A Faba, E Cardelli Journal of Magnetism and Magnetic Materials 528, 167735, 2021 | 45 | 2021 |

Bouc–Wen hysteresis model identification by the metric-topological evolutionary optimization A Laudani, FR Fulginei, A Salvini IEEE Transactions on Magnetics 50 (2), 621-624, 2014 | 45 | 2014 |

Spin-Hall nano-oscillator with oblique magnetization and Dzyaloshinskii-Moriya interaction as generator of skyrmions and nonreciprocal spin-waves A Giordano, R Verba, R Zivieri, A Laudani, V Puliafito, G Gubbiotti, ... Scientific Reports 6 (1), 36020, 2016 | 43 | 2016 |

COCA: a novel 3-D FE simulator for the design of TWT's multistage collectors S Coco, F Emma, A Laudani, S Pulvirenti, M Sergi IEEE Transactions on Electron Devices 48 (1), 24-31, 2001 | 43 | 2001 |

Computer modeling of nickel–iron alloy in power electronics applications E Cardelli, A Faba, A Laudani, SQ Antonio, FR Fulginei, A Salvini IEEE Transactions on Industrial Electronics 64 (3), 2494-2501, 2016 | 39 | 2016 |

Optimal thicknesses determination in a multilayer structure to improve the spp efficiency for photovoltaic devices by an hybrid fem—cascade neural network based approach F Bonanno, G Capizzi, S Coco, C Napoli, A Laudani, GL Sciuto 2014 International Symposium on Power Electronics, Electrical Drives …, 2014 | 38 | 2014 |

A moving approach for the Vector Hysteron Model E Cardelli, A Faba, A Laudani, SQ Antonio, FR Fulginei, A Salvini Physica B: Condensed Matter 486, 92-96, 2016 | 36 | 2016 |

A neural approach for the numerical modeling of two-dimensional magnetic hysteresis E Cardelli, A Faba, A Laudani, F Riganti Fulginei, A Salvini Journal of Applied Physics 117 (17), 2015 | 36 | 2015 |

Computationally efficient modeling of DC-DC converters for PV applications F Corti, A Laudani, GM Lozito, A Reatti Energies 13 (19), 5100, 2020 | 35 | 2020 |

Modern techniques for the optimal power flow problem: State of the art BG Risi, F Riganti-Fulginei, A Laudani Energies 15 (17), 6387, 2022 | 34 | 2022 |

Low-cost solar irradiance sensing for pv systems M Carrasco, A Laudani, GM Lozito, F Mancilla-David, F Riganti Fulginei, ... Energies 10 (7), 998, 2017 | 32 | 2017 |