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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:

BOLD fractional contribution to resting-state functional connectivity above 0.1 Hz
Jingyuan E. Chen, Gary H. Glover
NeuroImage (2014) Vol. 107, pp. 207-218
Open Access | Times Cited: 173

Showing 26-50 of 173 citing articles:

Investigating resting-state functional connectivity in the cervical spinal cord at 3 T
Falk Eippert, Yazhuo Kong, Anderson M. Winkler, et al.
NeuroImage (2016) Vol. 147, pp. 589-601
Open Access | Times Cited: 74
Reproducibility of resting state spinal cord networks in healthy volunteers at 7 Tesla
Robert Barry, Baxter P. Rogers, Benjamin Conrad, et al.
NeuroImage (2016) Vol. 133, pp. 31-40
Open Access | Times Cited: 69
Multifaceted brain networks reconfiguration in disorders of consciousness uncovered by co‐activation patterns
Carol Di Perri, Enrico Amico, Lizette Heine, et al.
Human Brain Mapping (2017) Vol. 39, Iss. 1, pp. 89-103
Open Access | Times Cited: 65
When functional blurring becomes deleterious: Reduced system segregation is associated with less white matter integrity and cognitive decline in aging
Robin Pedersen, Linda Geerligs, Micael Andersson, et al.
NeuroImage (2021) Vol. 242, pp. 118449-118449
Open Access | Times Cited: 47
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification
Rongyao Hu, Ziwen Peng, Xiaofeng Zhu, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 12, pp. 3843-3855
Open Access | Times Cited: 42
Frequency-specific brain network architecture in resting-state fMRI
Shogo Kajimura, Daniel S. Margulies, Jonathan Smallwood
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
The effect of preprocessing pipelines in subject classification and detection of abnormal resting state functional network connectivity using group ICA
Victor M. Vergara, Andrew R. Mayer, Eswar Damaraju, et al.
NeuroImage (2016) Vol. 145, pp. 365-376
Open Access | Times Cited: 56
Denoising spinal cord fMRI data: Approaches to acquisition and analysis
Falk Eippert, Yazhuo Kong, Mark Jenkinson, et al.
NeuroImage (2016) Vol. 154, pp. 255-266
Open Access | Times Cited: 56
Multilayer Brain Networks
Michael Vaiana, Sarah F. Muldoon
Journal of Nonlinear Science (2018) Vol. 30, Iss. 5, pp. 2147-2169
Closed Access | Times Cited: 56
Hurst Exponent Analysis of Resting-State fMRI Signal Complexity across the Adult Lifespan
J Z Dong, Bin Jing, Xiangyu Ma, et al.
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 53
Model-based physiological noise removal in fast fMRI
Uday Agrawal, Emery N. Brown, Laura D. Lewis
NeuroImage (2019) Vol. 205, pp. 116231-116231
Open Access | Times Cited: 53
Resting-State fMRI Functional Connectivity: Big Data Preprocessing Pipelines and Topological Data Analysis
Angkoon Phinyomark, Esther Ibáñez‐Marcelo, Giovanni Petri
IEEE Transactions on Big Data (2017) Vol. 3, Iss. 4, pp. 415-428
Closed Access | Times Cited: 51
A window‐less approach for capturing time‐varying connectivity in f MRI data reveals the presence of states with variable rates of change
Maziar Yaesoubi, Tülay Adalı, Vince D. Calhoun
Human Brain Mapping (2018) Vol. 39, Iss. 4, pp. 1626-1636
Open Access | Times Cited: 51
Evolution of spatial and temporal features of functional brain networks across the lifespan
Shruti G. Vij, Jason S. Nomi, Dina R. Dajani, et al.
NeuroImage (2018) Vol. 173, pp. 498-508
Open Access | Times Cited: 47
An average sliding window correlation method for dynamic functional connectivity
Victor M. Vergara, Anees Abrol, Vince D. Calhoun
Human Brain Mapping (2019) Vol. 40, Iss. 7, pp. 2089-2103
Open Access | Times Cited: 45
Predicting Brain Age Based on Spatial and Temporal Features of Human Brain Functional Networks
Jian Zhai, Ke Li
Frontiers in Human Neuroscience (2019) Vol. 13
Open Access | Times Cited: 43
Reproducible coactivation patterns of functional brain networks reveal the aberrant dynamic state transition in schizophrenia
Hang Yang, Hong Zhang, Xin Di, et al.
NeuroImage (2021) Vol. 237, pp. 118193-118193
Open Access | Times Cited: 39
Variability of regional glucose metabolism and the topology of functional networks in the human brain
Alessandro Palombit, Erica Silvestri, Tommaso Volpi, et al.
NeuroImage (2022) Vol. 257, pp. 119280-119280
Closed Access | Times Cited: 22
Having a chat and then watching a movie: how social interaction synchronises our brains during co-watching
Sara De Felice, Uzair Hakim, Natalie Gunasekara, et al.
Oxford Open Neuroscience (2024) Vol. 3
Open Access | Times Cited: 5
The temporal specificity of BOLD fMRI is systematically related to anatomical and vascular features of the human brain
Daniel E. P. Gomez, Jon̈athan R. Polimeni, Laura D. Lewis
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Wearables in Chronomedicine and Interpretation of Circadian Health
Denis Gubin, Dietmar Weinert, Oliver Stefani, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 327-327
Open Access
Advances in functional magnetic resonance imaging data analysis methods using Empirical Mode Decomposition to investigate temporal changes in early Parkinson's disease
Dietmar Cordes, Xiaowei Zhuang, Muhammad Kaleem, et al.
Alzheimer s & Dementia Translational Research & Clinical Interventions (2018) Vol. 4, Iss. 1, pp. 372-386
Open Access | Times Cited: 45
On the detection of high frequency correlations in resting state fMRI
Cameron Trapp, Kishore Vakamudi, Stefan Posse
NeuroImage (2017) Vol. 164, pp. 202-213
Open Access | Times Cited: 41
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification
Jiashuang Huang, Qi Zhu, Xiaoke Hao, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 1, pp. 342-350
Closed Access | Times Cited: 40
Ultrafast fMRI of the rodent brain using simultaneous multi-slice EPI
Hsu‐Lei Lee, Zengmin Li, Elizabeth J. Coulson, et al.
NeuroImage (2019) Vol. 195, pp. 48-58
Closed Access | Times Cited: 37

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