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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:

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

Showing 1-25 of 1293 citing articles:

Questions and controversies in the study of time-varying functional connectivity in resting fMRI
Daniel J. Lurie, Daniel Kessler, Danielle S. Bassett, et al.
Network Neuroscience (2019) Vol. 4, Iss. 1, pp. 30-69
Open Access | Times Cited: 544
Gradients of structure–function tethering across neocortex
Bertha Vázquez-Rodríguez, Laura E. Suárez, Ross D. Markello, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 42, pp. 21219-21227
Open Access | Times Cited: 465
Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know
Han Lv, Zhenchang Wang, Elizabeth Tong, et al.
American Journal of Neuroradiology (2018)
Open Access | Times Cited: 459
Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms
Joana Cabral, Morten L. Kringelbach, Gustavo Deco
NeuroImage (2017) Vol. 160, pp. 84-96
Open Access | Times Cited: 369
Electroencephalographic Resting-State Networks: Source Localization of Microstates
Anna Custo, Dimitri Van De Ville, William M. Wells, et al.
Brain Connectivity (2017) Vol. 7, Iss. 10, pp. 671-682
Open Access | Times Cited: 358
Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest
Joana Cabral, Diego Vidaurre, Paulo Marques, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 341
Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging
Yuhui Du, Zening Fu, Vince D. Calhoun
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 301
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
Task-based dynamic functional connectivity: Recent findings and open questions
Javier González-Castillo, Peter A. Bandettini
NeuroImage (2017) Vol. 180, pp. 526-533
Open Access | Times Cited: 277
Interpreting temporal fluctuations in resting-state functional connectivity MRI
Raphaël Liégeois, Timothy O. Laumann, Abraham Z. Snyder, et al.
NeuroImage (2017) Vol. 163, pp. 437-455
Open Access | Times Cited: 255
Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain
Peng Wang, Ru Kong, Xiaolu Kong, et al.
Science Advances (2019) Vol. 5, Iss. 1
Open Access | Times Cited: 253
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics
Tong He, Ru Kong, Avram J. Holmes, et al.
NeuroImage (2019) Vol. 206, pp. 116276-116276
Open Access | Times Cited: 252
The behavioral and cognitive relevance of time-varying, dynamic changes in functional connectivity
Jessica R. Cohen
NeuroImage (2017) Vol. 180, pp. 515-525
Open Access | Times Cited: 246
Dynamic coupling of whole-brain neuronal and neurotransmitter systems
Morten L. Kringelbach, Josephine Cruzat, Joana Cabral, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 17, pp. 9566-9576
Open Access | Times Cited: 245
Exercise benefits on Alzheimer’s disease: State-of-the-science
Pedro L. Valenzuela, Adrián Castillo‐García, Javier S. Morales, et al.
Ageing Research Reviews (2020) Vol. 62, pp. 101108-101108
Closed Access | Times Cited: 241
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
Awakening: Predicting external stimulation to force transitions between different brain states
Gustavo Deco, Josephine Cruzat, Joana Cabral, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 36, pp. 18088-18097
Open Access | Times Cited: 236
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
Towards a new approach to reveal dynamical organization of the brain using topological data analysis
Manish Saggar, Olaf Sporns, Javier González-Castillo, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 227
Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
Angus Stevner, Diego Vidaurre, Joana Cabral, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 219
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
Brain States and Transitions: Insights from Computational Neuroscience
Morten L. Kringelbach, Gustavo Deco
Cell Reports (2020) Vol. 32, Iss. 10, pp. 108128-108128
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
Machine learning in resting-state fMRI analysis
Meenakshi Khosla, Keith Jamison, Gia H. Ngo, et al.
Magnetic Resonance Imaging (2019) Vol. 64, pp. 101-121
Open Access | Times Cited: 191
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