Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Network Analysis of Time Series: Novel Approaches to Network Neuroscience
Thomas F. Varley, Olaf Sporns
Frontiers in Neuroscience (2022) Vol. 15
Open Access | Times Cited: 23

Showing 23 citing articles:

Partial entropy decomposition reveals higher-order information structures in human brain activity
Thomas F. Varley, Maria Pope, Maria Grazia, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 30
Open Access | Times Cited: 52
Structure and function in artificial, zebrafish and human neural networks
Peng Ji, Yufan Wang, Thomas Peron, et al.
Physics of Life Reviews (2023) Vol. 45, pp. 74-111
Closed Access | Times Cited: 19
Unraveling the Invisible: Topological Data Analysis as the New Frontier in Radiology’s Diagnostic Arsenal
Yashbir Singh, Emilio Quaia
Tomography (2025) Vol. 11, Iss. 1, pp. 6-6
Open Access
Dynamical measures of developing neuroelectric fields in emerging consciousness
William J. Bosl, Jenny Capua-Shenkar
Current Opinion in Behavioral Sciences (2025) Vol. 61, pp. 101480-101480
Open Access
Resting-state BOLD temporal variability of the default mode network predicts spontaneous mind wandering, which is negatively associated with mindfulness skills
Sara Sorella, Cristiano Crescentini, Alessio Matiz, et al.
Frontiers in Human Neuroscience (2025) Vol. 19
Open Access
Emerging Materials and Computing Paradigms for Temporal Signal Analysis
Teng Zhang, Stanisław Woźniak, Syed Ghazi Sarwat, et al.
Advanced Materials (2025)
Closed Access
Multilevel irreversibility reveals higher-order organization of nonequilibrium interactions in human brain dynamics
Ramón Nartallo-Kaluarachchi, Leonardo Bonetti, Gemma Fernández-Rubio, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 10
Open Access
LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics
Kenneth Shinozuka, Prejaas Tewarie, Andrea I. Luppi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Machine learning approach for early onset dementia neurobiomarker using EEG network topology features
Tomasz M. Rutkowski, Masato Abe, Tomasz Komendziński, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 7
Visibility graph analysis for brain: scoping review
Sadegh Sulaimany, Zhino Safahi
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 5
Network Representation of fMRI Data Using Visibility Graphs: The Impact of Motion and Test-Retest Reliability
Govinda Poudel, Prabin Sharma, Valentina Lorenzetti, et al.
Neuroinformatics (2024) Vol. 22, Iss. 2, pp. 107-118
Open Access | Times Cited: 1
Multilevel irreversibility reveals higher-order organisation of non-equilibrium interactions in human brain dynamics
Ramón Nartallo-Kaluarachchi, Leonardo Bonetti, Gemma Fernández-Rubio, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Some recent trends in embeddings of time series and dynamic networks
Dag Tjøstheim, Martin Jullum, Anders Løland
Journal of Time Series Analysis (2023) Vol. 44, Iss. 5-6, pp. 686-709
Open Access | Times Cited: 4
Mild cognitive impairment prediction and cognitive score regression in the elderly using EEG topological data analysis and machine learning with awareness assessed in affective reminiscent paradigm
Tomasz M. Rutkowski, Tomasz Komendziński, Mihoko Otake
Frontiers in Aging Neuroscience (2024) Vol. 15
Open Access | Times Cited: 1
Recurrence measures and transitions in stock market dynamics
Krishnadas Mohandas, K. P. Harikrishnan, G. Ambika
Physica A Statistical Mechanics and its Applications (2022) Vol. 608, pp. 128240-128240
Open Access | Times Cited: 7
Brain effective connectome based on fMRI and DTI data: Bayesian causal learning and assessment
Abdolmahdi Bagheri, Mahdi Dehshiri, Yamin Bagheri, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0289406-e0289406
Open Access | Times Cited: 3
Complex Network Methods for Plastic Deformation Dynamics in Metals
Arnold Kiv, A. A. Bryukhanov, Vladimir Soloviev, et al.
Dynamics (2023) Vol. 3, Iss. 1, pp. 34-59
Open Access | Times Cited: 2
Causal Brain Network Evaluates Surgical Outcomes in Patients with Drug-Resistant Epilepsy: A Retrospective Comparative Study
Yalin Wang, Minghui Liu, Wentao Lin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Discovering the effective connectome of the brain with dynamic Bayesian DAG learning
Abdolmahdi Bagheri, Mohammad Pasande, Kevin Bello, et al.
NeuroImage (2024) Vol. 297, pp. 120684-120684
Open Access
Similarity Metrics for Subcellular Analysis of FRET Microscopy Videos
Michael J. Burke, Víctor S. Batista, Caitlin M. Davis
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 35, pp. 8344-8354
Closed Access
Concept Representation and the Geometric Model of Mind
Włodzisław Duch
Studies in Logic Grammar and Rhetoric (2022) Vol. 67, Iss. 1, pp. 151-167
Open Access | Times Cited: 1
Where the present gets remembered: Sensory regions communicate with the brain over the longest timescales
Greg Cooper, George Blackburne, Tessa M. Dekker, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Hemoglobin signal network mapping reveals novel indicators for precision medicine
Randall L. Barbour, Harry L. Graber
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access
Page 1

Scroll to top