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:

Mean Field Theory of Self‐Organizing Memristive Connectomes
Francesco Caravelli, Gianluca Milano, Carlo Ricciardi, et al.
Annalen der Physik (2023) Vol. 535, Iss. 8
Open Access | Times Cited: 13

Showing 13 citing articles:

Quantum graph models for transport in filamentary switching
Alison A. Silva, Fabiano M. Andrade, Francesco Caravelli
Physical review. B./Physical review. B (2025) Vol. 111, Iss. 4
Closed Access

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

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

Ergodicity, lack thereof, and the performance of reservoir computing with memristive networks
Valentina Baccetti, Ruomin Zhu, Zdenka Kuncic, et al.
Nano Express (2024) Vol. 5, Iss. 1, pp. 015021-015021
Open Access | Times Cited: 3

Modeling a domain wall network in BiFeO3 with stochastic geometry and entropy-based similarity measure
Davide Cipollini, Andele B. Swierstra, Lambert Schomaker
Frontiers in Materials (2024) Vol. 11
Open Access | Times Cited: 2

Cycle equivalence classes, orthogonal Weingarten calculus, and the mean field theory of memristive systems
Francesco Caravelli
Neuromorphic Computing and Engineering (2024) Vol. 4, Iss. 2, pp. 024005-024005
Open Access | Times Cited: 1

Bi-sigmoid spike-timing dependent plasticity learning rule for magnetic tunnel junction-based SNN
Salah Daddinounou, Elena Ioana Vatajelu
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1

Modulation of electrical activity of proteinoid microspheres with chondroitin sulfate clusters
Panagiotis Mougkogiannis, Andrew Adamatzky
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0313077-e0313077
Open Access | Times Cited: 1

Probabilistic model of resistance jumps in memristive devices
V. A. Slipko, Yuriy V. Pershin
Physical review. E (2023) Vol. 107, Iss. 6
Open Access | Times Cited: 2

Self-organizing neuromorphic nanowire networks are stochastic dynamical systems
Gianluca Milano, Fabio Michieletti, Carlo Ricciardi, et al.
Research Square (Research Square) (2024)
Open Access

Memristive Devices Based on Necklace-like Structure Ag@TiO2 Nanowire Networks for Neuromorphic Learning and Reservoir Computing
Zhengjin Weng, Tianyi Ji, Yanling Yu, et al.
ACS Applied Nano Materials (2024) Vol. 7, Iss. 17, pp. 21018-21025
Closed Access

Ergodicity, lack thereof, and the performance of reservoir computing with memristive networks
Valentina Baccetti, Ruomin Zhu, Zdenka Kuncic, et al.
arXiv (Cornell University) (2023)
Open Access

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