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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:

In materia implementation strategies of physical reservoir computing with memristive nanonetworks
Gianluca Milano, Kevin Montano, Carlo Ricciardi
Journal of Physics D Applied Physics (2023) Vol. 56, Iss. 8, pp. 084005-084005
Open Access | Times Cited: 17

Showing 17 citing articles:

Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems
Min‐Kyu Song, Ji Hoon Kang, Xinyuan Zhang, et al.
ACS Nano (2023) Vol. 17, Iss. 13, pp. 11994-12039
Closed Access | Times Cited: 121
Physical reservoir computing with emerging electronics
Xiangpeng Liang, Jianshi Tang, Ya‐Nan Zhong, et al.
Nature Electronics (2024) Vol. 7, Iss. 3, pp. 193-206
Closed Access | Times Cited: 46
Physical Reservoir Computing Based on Nanoscale Materials and Devices
Zhiying Qi, Linjie Mi, Haoran Qian, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 43
Closed Access | Times Cited: 24
Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics
Fabio Michieletti, Davide Pilati, Gianluca Milano, et al.
Advanced Functional Materials (2025)
Open Access | Times Cited: 1
A memristive computational neural network model for time-series processing
Veronica Pistolesi, Andrea Ceni, Gianluca Milano, et al.
APL Machine Learning (2025) Vol. 3, Iss. 1
Open Access
Physical reservoir computing for Edge AI applications
Jianquan Liu, Guangdi Feng, Wei Li, et al.
The Innovation Materials (2025), pp. 100127-100127
Closed Access
Tomography of memory engrams in self-organizing nanowire connectomes
Gianluca Milano, Alessandro Cultrera, Luca Boarino, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Self-organizing neuromorphic nanowire networks as stochastic dynamical systems
Gianluca Milano, Fabio Michieletti, Davide Pilati, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Electrochemical rewiring through quantum conductance effects in single metallic memristive nanowires
Gianluca Milano, Federico Raffone, Katarzyna Bejtka, et al.
Nanoscale Horizons (2024) Vol. 9, Iss. 3, pp. 416-426
Open Access | Times Cited: 3
An organized view of reservoir computing: a perspective on theory and technology development
Gisya Abdi, Tomasz Mazur, Konrad Szaciłowski
Japanese Journal of Applied Physics (2024) Vol. 63, Iss. 5, pp. 050803-050803
Open Access | Times Cited: 3
Emerging Spatiotemporal Dynamics in Multiterminal Neuromorphic Nanowire Networks Through Conductance Matrices and Voltage Maps
Davide Pilati, Fabio Michieletti, Alessandro Cultrera, et al.
Advanced Electronic Materials (2024)
Open Access | Times Cited: 2
A Novel Physical Unclonable Function Based on Silver Nanowire Networks
Yanming Liu, Ming Jian, Xianzhu Liu, et al.
Advanced Functional Materials (2023) Vol. 34, Iss. 15
Closed Access | Times Cited: 5
A kinetic Monte Carlo approach for Boolean logic functionality in gold nanoparticle networks
Jonas Mensing, Wilfred G. van der Wiel, Andreas Heuer
Frontiers in Nanotechnology (2024) Vol. 6
Open Access | Times Cited: 1
Organic Polymer-Based Photodiodes for Optoelectronic Reservoir Computing with Time-Based Coding
Xiang Wan, Jie Yan, Runfeng Wang, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 40, pp. 10162-10168
Closed Access | Times Cited: 1
Self-organizing neuromorphic nanowire networks are stochastic dynamical systems
Gianluca Milano, Fabio Michieletti, Carlo Ricciardi, et al.
Research Square (Research Square) (2024)
Open Access
Tomography of memory engrams in self-organizing nanowire connectomes
Carlo Ricciardi, Gianluca Milano, Alessandro Cultrera, et al.
Research Square (Research Square) (2023)
Open Access
Mackey-Glass Time Series Forecasting by Nanowire Networks
Gianluca Milano, Tushar Chakrabarty, Carlo Ricciardi
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 989-994
Open Access
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