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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Automatic and Parallel Optimized Learning for Neural Networks performing MIMO Applications
Francesco Riganti Fulginei, Antonino Laudani, Alessandro Salvini, et al.
Advances in Electrical and Computer Engineering (2013) Vol. 13, Iss. 1, pp. 3-12
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Cluster head selection for energy efficient and delay-less routing in wireless sensor network
Amit Sarkar, T. Senthil Murugan
Wireless Networks (2017) Vol. 25, Iss. 1, pp. 303-320
Closed Access | Times Cited: 237
A Neural Network-Based Low-Cost Solar Irradiance Sensor
Fernando Mancilla‐David, Francesco Riganti Fulginei, Antonino Laudani, et al.
IEEE Transactions on Instrumentation and Measurement (2013) Vol. 63, Iss. 3, pp. 583-591
Closed Access | Times Cited: 78
On Training Efficiency and Computational Costs of a Feed Forward Neural Network: A Review
Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei, et al.
Computational Intelligence and Neuroscience (2015) Vol. 2015, pp. 1-13
Open Access | Times Cited: 75
Advances in Magnetic Hysteresis Modeling
E. Cardelli
Handbook of magnetic materials (2015), pp. 323-409
Closed Access | Times Cited: 61
Time-Domain Circuit Modelling for Hybrid Supercapacitors
Fabio Corti, Michelangelo-Santo Gulino, Maurizio Laschi, et al.
Energies (2021) Vol. 14, Iss. 20, pp. 6837-6837
Open Access | Times Cited: 31
Optimization of a feedforward neural network’s architecture for an HVAC system problem
Martina Palermo, Flavia Forconi, Elisa Belloni, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 10
A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting
Konstantinos Kampouropoulos, Fabio Andrade, A. Garcı́a, et al.
Advances in Electrical and Computer Engineering (2014) Vol. 14, Iss. 1, pp. 9-14
Open Access | Times Cited: 36
Computer Modeling of Nickel–Iron Alloy in Power Electronics Applications
E. Cardelli, A. Faba, Antonino Laudani, et al.
IEEE Transactions on Industrial Electronics (2016) Vol. 64, Iss. 3, pp. 2494-2501
Closed Access | Times Cited: 36
A neural approach for the numerical modeling of two-dimensional magnetic hysteresis
E. Cardelli, A. Faba, Antonino Laudani, et al.
Journal of Applied Physics (2015) Vol. 117, Iss. 17
Closed Access | Times Cited: 32
Two-dimensional magnetic modeling of ferromagnetic materials by using a neural networks based hybrid approach
E. Cardelli, A. Faba, Antonino Laudani, et al.
Physica B Condensed Matter (2015) Vol. 486, pp. 106-110
Closed Access | Times Cited: 31
A Neural-FEM tool for the 2-D magnetic hysteresis modeling
E. Cardelli, A. Faba, Antonino Laudani, et al.
Physica B Condensed Matter (2015) Vol. 486, pp. 111-115
Closed Access | Times Cited: 29
Two FPGA-Oriented High-Speed Irradiance Virtual Sensors for Photovoltaic Plants
Alberto Oliveri, Luca Cassottana, Antonino Laudani, et al.
IEEE Transactions on Industrial Informatics (2015) Vol. 13, Iss. 1, pp. 157-165
Closed Access | Times Cited: 27
Dynamic hysteresis modelling of magnetic materials by using a neural network approach
Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei
(2014), pp. 1-6
Closed Access | Times Cited: 26
Implementation of a neural MPPT algorithm on a low-cost 8-bit microcontroller
Antonino Laudani, Francesco Riganti Fulginei, Alessandro Salvini, et al.
International Symposium on Power Electronics, Electrical Drives, Automation and Motion (2014), pp. 977-981
Closed Access | Times Cited: 25
An Efficient Architecture for Floating Point Based MISO Neural Neworks on FPGA
Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei, et al.
(2014), pp. 12-17
Closed Access | Times Cited: 24
Microcontroller based maximum power point tracking through FCC and MLP Neural Networks
Gabriele Maria Lozito, Ludovica Bozzoli, Alessandro Salvini
(2014), pp. 207-211
Closed Access | Times Cited: 23
A neural networks-based maximum power point tracker with improved dynamics for variable dc-link grid-connected photovoltaic power plants
Miguel Carrasco, Fernando Mancilla‐David, Francesco Riganti Fulginei, et al.
International Journal of Applied Electromagnetics and Mechanics (2013) Vol. 43, Iss. 1-2, pp. 127-135
Closed Access | Times Cited: 22
FPGA Implementations of Feed Forward Neural Network by using Floating Point Hardware Accelerators
Gabriele Maria Lozito, Antonino Laudani, Francesco Riganti Fulginei, et al.
Advances in Electrical and Electronic Engineering (2014) Vol. 12, Iss. 1
Open Access | Times Cited: 19
SVM versus MAP on Accelerometer Data to Distinguish among Locomotor Activities Executed at Different Speeds
Maurizio Schmid, Francesco Riganti Fulginei, Ivan Bernabucci, et al.
Computational and Mathematical Methods in Medicine (2013) Vol. 2013, pp. 1-7
Open Access | Times Cited: 19
Hybrid Optimization of Controller for Multi-variable System
M. Nagarajapandian, S. Kanthalakshmi
Journal of Electrical Engineering and Technology (2023) Vol. 19, Iss. 3, pp. 1733-1745
Closed Access | Times Cited: 4
Modeling dynamic hysteresis through Fully Connected Cascade neural networks
Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei, et al.
(2016), pp. 1-5
Closed Access | Times Cited: 9
A Neural Network Embedded System for Real-time Estimation of Muscle Forces
Gabriele Maria Lozito, Maurizio Schmid, Silvia Conforto, et al.
Procedia Computer Science (2015) Vol. 51, pp. 60-69
Open Access | Times Cited: 9
Hybrid Neural Network Approach Based Tool for the Modelling of Photovoltaic Panels
Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei, et al.
International Journal of Photoenergy (2015) Vol. 2015, pp. 1-10
Open Access | Times Cited: 8
A New Neural Predictor for ELF Magnetic Field Strength
S. Coco, Antonino Laudani, Francesco Riganti Fulginei, et al.
IEEE Transactions on Magnetics (2014) Vol. 50, Iss. 2, pp. 69-72
Closed Access | Times Cited: 7
A coupled design optimization methodology for Li-ion batteries in electric vehicle applications based on FEM and neural networks
F. Bonanno, Giacomo Capizzi, S. Coco, et al.
International Symposium on Power Electronics, Electrical Drives, Automation and Motion (2014)
Closed Access | Times Cited: 7
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