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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 properties of simulated brain network models and empirical resting-state data
Amrit Kashyap, Shella Keilholz
Network Neuroscience (2018) Vol. 3, Iss. 2, pp. 405-426
Open Access | Times Cited: 23

Showing 23 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: 545
Geometric constraints on human brain function
James C. Pang, Kevin Aquino, Marianne Oldehinkel, et al.
Nature (2023) Vol. 618, Iss. 7965, pp. 566-574
Open Access | Times Cited: 225
Propagating patterns of intrinsic activity along macroscale gradients coordinate functional connections across the whole brain
Behnaz Yousefi, Shella Keilholz
NeuroImage (2021) Vol. 231, pp. 117827-117827
Open Access | Times Cited: 65
A mathematical perspective on edge-centric brain functional connectivity
Leonardo Novelli, Adeel Razi
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 41
Connectivity analyses for task-based fMRI
Shenyang Huang, Felipe De Brigard, Roberto Cabeza, et al.
Physics of Life Reviews (2024) Vol. 49, pp. 139-156
Open Access | Times Cited: 10
Sub-second Fluctuation between Top-Down and Bottom-Up Modes Distinguishes Diverse Human Brain States
Youngjai Park, Y.-H. Cha, Hyoungkyu Kim, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Contribution of animal models toward understanding resting state functional connectivity
Patricia Pais‐Roldán, Céline Matéo, Wen‐Ju Pan, et al.
NeuroImage (2021) Vol. 245, pp. 118630-118630
Open Access | Times Cited: 31
Phase synchronization and measure of criticality in a network of neural mass models
Sheida Kazemi, Yousef Jamali
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 17
On the nature of time-varying functional connectivity in resting fMRI
Daniel J. Lurie, Daniel Kessler, Danielle S. Bassett, et al.
(2018)
Open Access | Times Cited: 25
Variation in the distribution of large-scale spatiotemporal patterns of activity across brain states
Lisa Meyer-Baese, Nmachi Anumba, Taylor Bolt, et al.
Frontiers in Systems Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Kuramoto Model-Based Analysis Reveals Oxytocin Effects on Brain Network Dynamics
Shuhan Zheng, Zhichao Liang, Youzhi Qu, et al.
International Journal of Neural Systems (2021) Vol. 32, Iss. 02
Open Access | Times Cited: 14
Variation in the Distribution of Large-scale Spatiotemporal Patterns of Activity Across Brain States
Lisa Meyer-Baese, Nmachi Anumba, Taylor Bolt, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Brain network constraints and recurrent neural networks reproduce unique trajectories and state transitions seen over the span of minutes in resting-state fMRI
Amrit Kashyap, Shella Keilholz
Network Neuroscience (2020) Vol. 4, Iss. 2, pp. 448-466
Open Access | Times Cited: 8
Propagating patterns of intrinsic activity along macroscale gradients coordinate functional connections across the whole brain
Behnaz Yousefi, Shella Keilholz
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 8
Multiscale Brain Network Models and Their Applications in Neuropsychiatric Diseases
Meili Lu, Zhaohua Guo, Zicheng Gao, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3468-3468
Open Access | Times Cited: 5
Surveying the neuroimager's connectivity toolbox: Comment on “Connectivity analyses for task-based fMRI” by Huang, De Brigard, Cabeza, & Davis
Natalia Ladyka‐Wojcik, Maureen Ritchey
Physics of Life Reviews (2024) Vol. 51, pp. 101-103
Closed Access
A deep learning approach to estimating initial conditions of Brain Network Models in reference to measured fMRI data
Amrit Kashyap, Sergey M. Plis, Petra Ritter, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 1
Temporal Dynamic Model for Resting State fMRI Data: A Neural Ordinary Differential Equation approach
Zheyu Wen
arXiv (Cornell University) (2020)
Open Access | Times Cited: 2
Kuramoto model based analysis reveals oxytocin effects on brain network dynamics
Shuhan Zheng, Zhichao Liang, Youzhi Qu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
A DEEP LEARNING APPROACH TO ESTIMATING INITIAL CONDITIONS OF BRAIN NETWORK MODELS IN REFERENCE TO MEASURED FMRI DATA
Amrit Kashyap, Sergey M. Plis, Michael Schirner, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Brain Network Constraints and Recurrent Neural Networks reproduce unique Trajectories and State Transitions seen over the span of minutes in resting state fMRI
Amrit Kashyap, Shella Keilholz
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access
Phase synchronization and criticality in a network of neural mass models
Sheida Kazemi, Yousef Jamali
Research Square (Research Square) (2021)
Open Access
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