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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:

Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks
Richard F. Betzel, Makoto Fukushima, Ye He, et al.
NeuroImage (2015) Vol. 127, pp. 287-297
Open Access | Times Cited: 262

Showing 1-25 of 262 citing articles:

The dynamic functional connectome: State-of-the-art and perspectives
Maria Giulia Preti, Thomas A. W. Bolton, Dimitri Van De Ville
NeuroImage (2016) Vol. 160, pp. 41-54
Open Access | Times Cited: 1293
The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance
James M. Shine, Patrick G. Bissett, Peter T. Bell, et al.
Neuron (2016) Vol. 92, Iss. 2, pp. 544-554
Open Access | Times Cited: 806
Multi-scale brain networks
Richard F. Betzel, Danielle S. Bassett
NeuroImage (2016) Vol. 160, pp. 73-83
Open Access | Times Cited: 552
Graph theory methods: applications in brain networks
Olaf Sporns
Dialogues in Clinical Neuroscience (2018) Vol. 20, Iss. 2, pp. 111-121
Open Access | Times Cited: 497
Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks
Matthew L. Dixon, Alejandro de la Vega, Caitlin Mills, et al.
Proceedings of the National Academy of Sciences (2018) Vol. 115, Iss. 7
Open Access | Times Cited: 480
Human consciousness is supported by dynamic complex patterns of brain signal coordination
Athéna Demertzi, Enzo Tagliazucchi, Stanislas Dehaene, et al.
Science Advances (2019) Vol. 5, Iss. 2
Open Access | Times Cited: 447
Small-world human brain networks: Perspectives and challenges
Xuhong Liao, Athanasios V. Vasilakos, Yong He
Neuroscience & Biobehavioral Reviews (2017) Vol. 77, pp. 286-300
Closed Access | Times Cited: 371
Can brain state be manipulated to emphasize individual differences in functional connectivity?
Emily S. Finn, Dustin Scheinost, Daniel M. Finn, et al.
NeuroImage (2017) Vol. 160, pp. 140-151
Open Access | Times Cited: 343
Resting brain dynamics at different timescales capture distinct aspects of human behavior
Raphaël Liégeois, Jingwei Li, Ru Kong, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 286
Optimally controlling the human connectome: the role of network topology
Richard F. Betzel, Shi Gu, John D. Medaglia, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 247
Higher Intelligence Is Associated with Less Task-Related Brain Network Reconfiguration
Douglas H. Schultz, Michael W. Cole
Journal of Neuroscience (2016) Vol. 36, Iss. 33, pp. 8551-8561
Open Access | Times Cited: 243
From regions to connections and networks: new bridges between brain and behavior
Bratislav Mišić, Olaf Sporns
Current Opinion in Neurobiology (2016) Vol. 40, pp. 1-7
Open Access | Times Cited: 240
High-amplitude cofluctuations in cortical activity drive functional connectivity
Farnaz Zamani Esfahlani, Youngheun Jo, Joshua Faskowitz, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 45, pp. 28393-28401
Open Access | Times Cited: 237
Principles of dynamic network reconfiguration across diverse brain states
James M. Shine, Russell A. Poldrack
NeuroImage (2017) Vol. 180, pp. 396-405
Open Access | Times Cited: 234
A Graph Signal Processing Perspective on Functional Brain Imaging
Weiyu Huang, Thomas A. W. Bolton, John D. Medaglia, et al.
Proceedings of the IEEE (2018) Vol. 106, Iss. 5, pp. 868-885
Open Access | Times Cited: 232
Dynamics of large-scale electrophysiological networks: A technical review
George C. O’Neill, Prejaas Tewarie, Diego Vidaurre, et al.
NeuroImage (2017) Vol. 180, pp. 559-576
Open Access | Times Cited: 209
Interactions between the default network and dorsal attention network vary across default subsystems, time, and cognitive states
Matthew L. Dixon, Jessica R. Andrews‐Hanna, R. Nathan Spreng, et al.
NeuroImage (2016) Vol. 147, pp. 632-649
Open Access | Times Cited: 207
Replicability of time-varying connectivity patterns in large resting state fMRI samples
Anees Abrol, Eswar Damaraju, Robyn L. Miller, et al.
NeuroImage (2017) Vol. 163, pp. 160-176
Open Access | Times Cited: 200
Chronnectome fingerprinting: Identifying individuals and predicting higher cognitive functions using dynamic brain connectivity patterns
Jin Liu, Xuhong Liao, Mingrui Xia, et al.
Human Brain Mapping (2017) Vol. 39, Iss. 2, pp. 902-915
Open Access | Times Cited: 197
Multilayer modeling and analysis of human brain networks
Manlio De Domenico
GigaScience (2017) Vol. 6, Iss. 5
Open Access | Times Cited: 194
Controversies and progress on standardization of large-scale brain network nomenclature
Lucina Q. Uddin, Richard F. Betzel, Jessica R. Cohen, et al.
Network Neuroscience (2023) Vol. 7, Iss. 3, pp. 864-905
Open Access | Times Cited: 62
Positive affect, surprise, and fatigue are correlates of network flexibility
Richard F. Betzel, Theodore D. Satterthwaite, Joshua I. Gold, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 165
Understanding principles of integration and segregation using whole-brain computational connectomics: implications for neuropsychiatric disorders
Louis-David Lord, Angus Stevner, Gustavo Deco, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2017) Vol. 375, Iss. 2096, pp. 20160283-20160283
Open Access | Times Cited: 159
State-dependent variability of dynamic functional connectivity between frontoparietal and default networks relates to cognitive flexibility
Linda Douw, Daniel G. Wakeman, Naoaki Tanaka, et al.
Neuroscience (2016) Vol. 339, pp. 12-21
Open Access | Times Cited: 143
Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month
Bing Chen, Ting Xu, Changle Zhou, et al.
PLoS ONE (2015) Vol. 10, Iss. 12, pp. e0144963-e0144963
Open Access | Times Cited: 141
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