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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:

Learning function from structure in neuromorphic networks
Laura E. Suárez, Blake A. Richards, Guillaume Lajoie, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 9, pp. 771-786
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

How critical is brain criticality?
Jordan O’Byrne, Karim Jerbi
Trends in Neurosciences (2022) Vol. 45, Iss. 11, pp. 820-837
Closed Access | Times Cited: 161
Null models in network neuroscience
František Váša, Bratislav Mišić
Nature reviews. Neuroscience (2022) Vol. 23, Iss. 8, pp. 493-504
Closed Access | Times Cited: 133
Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight
Jacob W. Vogel, Nick Corriveau‐Lecavalier, Nicolai Franzmeier, et al.
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 10, pp. 620-639
Closed Access | Times Cited: 72
Neuromorphic learning, working memory, and metaplasticity in nanowire networks
Alon Loeffler, Adrian Diaz‐Alvarez, Ruomin Zhu, et al.
Science Advances (2023) Vol. 9, Iss. 16
Open Access | Times Cited: 51
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: 43
Unbiased construction of constitutive relations for soft materials from experiments via rheology-informed neural networks
Mohammadamin Mahmoudabadbozchelou, Krutarth M. Kamani, Simon A. Rogers, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 2
Open Access | Times Cited: 15
Simulating the impact of white matter connectivity on processing time scales using brain network models
Paul Triebkorn, Viktor Jirsa, Peter Ford Dominey
Communications Biology (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Prefrontal connectomics: from anatomy to human imaging
Suzanne N. Haber, Hesheng Liu, Jakob Seidlitz, et al.
Neuropsychopharmacology (2021) Vol. 47, Iss. 1, pp. 20-40
Open Access | Times Cited: 72
Brain connectivity meets reservoir computing
Fabrizio Damicelli, Claus C. Hilgetag, Alexandros Goulas
PLoS Computational Biology (2022) Vol. 18, Iss. 11, pp. e1010639-e1010639
Open Access | Times Cited: 44
Scale-free behavioral dynamics directly linked with scale-free cortical dynamics
Sabrina A Jones, Jacob H Barfield, V. Kindler Norman, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 25
Biological neurons act as generalization filters in reservoir computing
Takuma Sumi, Hideaki Yamamoto, Yuichi Katori, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 25
Open Access | Times Cited: 22
Connectome-based reservoir computing with the conn2res toolbox
Laura E. Suárez, Ágoston Mihalik, Filip Milisav, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Understanding divergence: Placing developmental neuroscience in its dynamic context
Duncan E. Astle, Dani S. Bassett, Essi Viding
Neuroscience & Biobehavioral Reviews (2024) Vol. 157, pp. 105539-105539
Open Access | Times Cited: 9
A network control theory pipeline for studying the dynamics of the structural connectome
Linden Parkes, Jason Z. Kim, Jennifer Stiso, et al.
Nature Protocols (2024)
Closed Access | Times Cited: 9
Connectome of memristive nanowire networks through graph theory
Gianluca Milano, E. Miranda, Carlo Ricciardi
Neural Networks (2022) Vol. 150, pp. 137-148
Open Access | Times Cited: 32
Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings
Jascha Achterberg, Danyal Akarca, Daniel Strouse, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 12, pp. 1369-1381
Open Access | Times Cited: 21
Transformer Meets Remote Sensing Video Detection and Tracking: A Comprehensive Survey
Licheng Jiao, Xin Zhang, Xu Liu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 1-45
Open Access | Times Cited: 19
Digital rheometer twins: Learning the hidden rheology of complex fluids through rheology-informed graph neural networks
Mohammadamin Mahmoudabadbozchelou, Krutarth M. Kamani, Simon A. Rogers, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 20
Open Access | Times Cited: 27
Reservoir computing with 3D nanowire networks
Ryan. K. Daniels, Joshua B. Mallinson, Zachary E. Heywood, et al.
Neural Networks (2022) Vol. 154, pp. 122-130
Open Access | Times Cited: 25
The Digital Twin Brain: A Bridge between Biological and Artificial Intelligence
Hui Xiong, Congying Chu, Lingzhong Fan, et al.
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 15
Reservoir Computing Using Measurement-Controlled Quantum Dynamics
A. H. Abbas, Ivan S. Maksymov
Electronics (2024) Vol. 13, Iss. 6, pp. 1164-1164
Open Access | Times Cited: 4
How to form brain-like memory in spiking neural networks with the help of frequency-induced mechanism
Yunlin Lei, Huiqi Li, Mingrui Li, et al.
Neurocomputing (2025), pp. 129361-129361
Closed Access
Canonical neurodevelopmental trajectories of structural and functional manifolds
A.I.C. Monaghan, Richard A. I. Bethlehem, Danyal Akarca, et al.
(2025)
Open Access
Canonical neurodevelopmental trajectories of structural and functional manifolds
A.I.C. Monaghan, Richard A. I. Bethlehem, Danyal Akarca, et al.
(2025)
Open Access
Reduced connection strength leads to enhancement of working memory capacity in cognitive training
Guiyang Lv, Tianyong Xu, Junfa Li, et al.
NeuroImage (2025) Vol. 308, pp. 121055-121055
Open Access
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