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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:

Analysis of Power Laws, Shape Collapses, and Neural Complexity: New Techniques and MATLAB Support via the NCC Toolbox
Najja J. Marshall, Nicholas M. Timme, Nicholas Bennett, et al.
Frontiers in Physiology (2016) Vol. 7
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Cortical Circuit Dynamics Are Homeostatically Tuned to Criticality In Vivo
Zhengyu Ma, Gina G. Turrigiano, Ralf Weßel, et al.
Neuron (2019) Vol. 104, Iss. 4, pp. 655-664.e4
Open Access | Times Cited: 228
Criticality between Cortical States
Antonio J. Fontenele, Nivaldo A. P. de Vasconcelos, Thaís Feliciano, et al.
Physical Review Letters (2019) Vol. 122, Iss. 20
Open Access | Times Cited: 201
Whole-Brain Neuronal Activity Displays Crackling Noise Dynamics
Adrián Ponce‐Alvarez, Adrien Jouary, Martin Privat, et al.
Neuron (2018) Vol. 100, Iss. 6, pp. 1446-1459.e6
Open Access | Times Cited: 161
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
Avalanches and edge-of-chaos learning in neuromorphic nanowire networks
Joel Hochstetter, Ruomin Zhu, Alon Loeffler, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 129
Sleep restores an optimal computational regime in cortical networks
Yifan Xu, Aidan Schneider, Ralf Weßel, et al.
Nature Neuroscience (2024) Vol. 27, Iss. 2, pp. 328-338
Open Access | Times Cited: 22
Spontaneous cortical activity is transiently poised close to criticality
Gerald J. Hahn, Adrián Ponce‐Alvarez, Cyril Monier, et al.
PLoS Computational Biology (2017) Vol. 13, Iss. 5, pp. e1005543-e1005543
Open Access | Times Cited: 139
Emergent dynamics of neuromorphic nanowire networks
Adrian Diaz‐Alvarez, Rintaro Higuchi, Paula Sanz‐Leon, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 111
Editorial: Recent Trends in Computational Fluid Dynamics
M. M. Bhatti, Marín Marín, A. Zeeshan, et al.
Frontiers in Physics (2020) Vol. 8
Open Access | Times Cited: 110
Impact of modular organization on dynamical richness in cortical networks
Hideaki Yamamoto, Satoshi Moriya, Katsuya Ide, et al.
Science Advances (2018) Vol. 4, Iss. 11
Open Access | Times Cited: 100
Hierarchical Connectome Modes and Critical State Jointly Maximize Human Brain Functional Diversity
Rong Wang, Pan Lin, Mianxin Liu, et al.
Physical Review Letters (2019) Vol. 123, Iss. 3
Closed Access | Times Cited: 100
Subsampling scaling
Anna Levina, Viola Priesemann
Nature Communications (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 98
Avalanches and criticality in self-organized nanoscale networks
Joshua B. Mallinson, Shota Shirai, Susant Kumar Acharya, et al.
Science Advances (2019) Vol. 5, Iss. 11
Open Access | Times Cited: 91
Critical dynamics arise during structured information presentation within embodied in vitro neuronal networks
Forough Habibollahi, Brett J. Kagan, Anthony N. Burkitt, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 25
Excitation–Inhibition Balance, Neural Criticality, and Activities in Neuronal Circuits
Junhao Liang, Zhuda Yang, Changsong Zhou
The Neuroscientist (2024)
Closed Access | Times Cited: 10
Correlation between brain activity and comfort at different illuminances based on electroencephalogram signals during reading
Chao Liu, Nan Zhang, Zihe Wang, et al.
Building and Environment (2024) Vol. 261, pp. 111694-111694
Closed Access | Times Cited: 9
Modeling neuronal avalanches and long-range temporal correlations at the emergence of collective oscillations: Continuously varying exponents mimic M/EEG results
Leonardo Dalla Porta, Mauro Copelli
PLoS Computational Biology (2019) Vol. 15, Iss. 4, pp. e1006924-e1006924
Open Access | Times Cited: 67
Criticality Maximizes Complexity in Neural Tissue
Nicholas M. Timme, Najja J. Marshall, Nicholas Bennett, et al.
Frontiers in Physiology (2016) Vol. 7
Open Access | Times Cited: 66
Neuronal avalanche dynamics indicates different universality classes in neuronal cultures
Mohammad Yaghoubi, Ty de Graaf, Javier G. Orlandi, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 62
Subsampled Directed-Percolation Models Explain Scaling Relations Experimentally Observed in the Brain
Tawan T. A. Carvalho, Antonio J. Fontenele, Mauricio Girardi‐Schappo, et al.
Frontiers in Neural Circuits (2021) Vol. 14
Open Access | Times Cited: 54
Cognitive science as complexity science
Luis H. Favela
Wiley Interdisciplinary Reviews Cognitive Science (2020) Vol. 11, Iss. 4
Closed Access | Times Cited: 50
Altered spreading of neuronal avalanches in temporal lobe epilepsy relates to cognitive performance: A resting‐state hdEEG study
Gian Marco Duma, Alberto Danieli, Giovanni Mento, et al.
Epilepsia (2023) Vol. 64, Iss. 5, pp. 1278-1288
Open Access | Times Cited: 21
Long-range temporal correlations in scale-free neuromorphic networks
Shota Shirai, Susant Kumar Acharya, Saurabh K. Bose, et al.
Network Neuroscience (2020) Vol. 4, Iss. 2, pp. 432-447
Open Access | Times Cited: 49
Differential effects of propofol and ketamine on critical brain dynamics
Thomas F. Varley, Olaf Sporns, Aina Puce, et al.
PLoS Computational Biology (2020) Vol. 16, Iss. 12, pp. e1008418-e1008418
Open Access | Times Cited: 40
Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation
Kristine Heiney, Ola Huse Ramstad, Vegard Fiskum, et al.
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 35
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