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For: França LGS, Miranda JGV, Leite M, Sharma NK, Walker MC, Lemieux L, Wang Y. Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications. Front Physiol 2018;9:1767. [PMID: 30618789 DOI: 10.3389/fphys.2018.01767] [Cited by in Crossref: 21] [Cited by in F6Publishing: 21] [Article Influence: 4.2] [Reference Citation Analysis]
Number Citing Articles
1 Artun EC, Keçoğlu I, Türkoğlu A, Berker AN. Multifractal spin-glass chaos projection and interrelation of multicultural music and brain signals. Chaos, Solitons & Fractals 2023;167:113005. [DOI: 10.1016/j.chaos.2022.113005] [Reference Citation Analysis]
2 Ogunjo ST. The impact of the 2007–2008 global financial crisis on the multifractality of the Nigerian Stock Exchange. SN Bus Econ 2023;3:31. [DOI: 10.1007/s43546-022-00414-z] [Reference Citation Analysis]
3 de Melo Barros Junior PR, Bunge KL, Serravalle Reis Rodrigues VH, Ferreira Santiago MT, Dos Santos Marinho EB, Lima de Jesus Silva JL. Multi-fractal detrended cross-correlation heatmaps for time series analysis. Sci Rep 2022;12:21655. [PMID: 36522406 DOI: 10.1038/s41598-022-26207-w] [Reference Citation Analysis]
4 Makani A, Akhavan A, Shahbazi F, Noruzi M, Zare M. Age-related complexity of the resting state MEG signals: a multiscale entropy analysis.. [DOI: 10.1101/2022.09.14.507986] [Reference Citation Analysis]
5 Lahmiri S, Tadj C, Gargour C. Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet Leaders. Entropy (Basel) 2022;24:1166. [PMID: 36010830 DOI: 10.3390/e24081166] [Reference Citation Analysis]
6 Kelty-Stephen DG, Lane E, Bloomfield L, Mangalam M. Multifractal test for nonlinearity of interactions across scales in time series. Behav Res Methods 2022. [PMID: 35854196 DOI: 10.3758/s13428-022-01866-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 Alamian G, Lajnef T, Pascarella A, Lina J, Knight L, Walters J, Singh KD, Jerbi K. Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography. Front Neural Circuits 2022;16:630621. [DOI: 10.3389/fncir.2022.630621] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
8 Soltanifar M. The Second Generalization of the Hausdorff Dimension Theorem for Random Fractals. Mathematics 2022;10:706. [DOI: 10.3390/math10050706] [Reference Citation Analysis]
9 Roy S, Banerjee A, Roy C, Nag S, Sanyal S, Sengupta R, Ghosh D. Brain response to color stimuli: an EEG study with nonlinear approach. Cogn Neurodyn 2021;15:1023-53. [PMID: 34790269 DOI: 10.1007/s11571-021-09692-z] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
10 Alamian G, Lajnef T, Pascarella A, Lina J, Knight L, Walters J, Singh KD, Jerbi K. Altered brain criticality in Schizophrenia: New insights from MEG.. [DOI: 10.1101/2021.11.09.467906] [Reference Citation Analysis]
11 Joseph AJ, Pournami P. Multifractal theory based breast tissue characterization for early detection of breast cancer. Chaos, Solitons & Fractals 2021;152:111301. [DOI: 10.1016/j.chaos.2021.111301] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
12 de Paula Viveiros AM. Non-orbital characterizations of strange attractors: Effective intervals and multifractality measures. Chaos 2021;31:033139. [PMID: 33810735 DOI: 10.1063/5.0018728] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
13 Caby T, Faranda D, Vaienti S, Yiou P. Extreme value distributions of observation recurrences. Nonlinearity 2020;34:118-63. [DOI: 10.1088/1361-6544/abaff1] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
14 Mullins AE, Kam K, Parekh A, Bubu OM, Osorio RS, Varga AW. Obstructive Sleep Apnea and Its Treatment in Aging: Effects on Alzheimer's disease Biomarkers, Cognition, Brain Structure and Neurophysiology. Neurobiol Dis 2020;145:105054. [PMID: 32860945 DOI: 10.1016/j.nbd.2020.105054] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 7.0] [Reference Citation Analysis]
15 Phinyomark A, Larracy R, Scheme E. Fractal Analysis of Human Gait Variability via Stride Interval Time Series. Front Physiol 2020;11:333. [PMID: 32351405 DOI: 10.3389/fphys.2020.00333] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 6.0] [Reference Citation Analysis]
16 Oświȩcimka P, Drożdż S, Frasca M, Gȩbarowski R, Yoshimura N, Zunino L, Minati L. Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses. Nonlinear Dyn 2020;100:1689-704. [DOI: 10.1007/s11071-020-05581-y] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
17 Bogdan P. Taming the Unknown Unknowns in Complex Systems: Challenges and Opportunities for Modeling, Analysis and Control of Complex (Biological) Collectives. Front Physiol 2019;10:1452. [PMID: 31849703 DOI: 10.3389/fphys.2019.01452] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]
18 Tiwari A, Albuquerque I, Gagnon J, Lafond D, Parent M, Tremblay S, Falk TH. Mental Workload Assessment During Physical Activity Using Non-linear Movement Artefact Robust Electroencephalography Features. 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) 2019. [DOI: 10.1109/smc.2019.8914038] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
19 Arthur E, Somfai GM, Kostic M, Oropesa S, Santiesteban CM, DeBuc DC. Distinguishing cognitive impairment by using singularity spectrum and lacunarity analysis of the retinal vascular network. Neurophotonics 2019;6:041109. [PMID: 31572744 DOI: 10.1117/1.NPh.6.4.041109] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
20 Bell CA, Carver NS, Zbaracki JA, Kelty-Stephen DG. Non-linear Amplification of Variability Through Interaction Across Scales Supports Greater Accuracy in Manual Aiming: Evidence From a Multifractal Analysis With Comparisons to Linear Surrogates in the Fitts Task. Front Physiol 2019;10:998. [PMID: 31447691 DOI: 10.3389/fphys.2019.00998] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 4.5] [Reference Citation Analysis]
21 Spasić SZ, Kesić S. Editorial: Nonlinearity in Living Systems: Theoretical and Practical Perspectives on Metrics of Physiological Signal Complexity. Front Physiol 2019;10:298. [PMID: 30984016 DOI: 10.3389/fphys.2019.00298] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]
22 Mozaffarilegha M, Movahed SMS. Long-range temporal correlation in Auditory Brainstem Responses to Spoken Syllable/da/. Sci Rep 2019;9:1751. [PMID: 30741968 DOI: 10.1038/s41598-018-38215-w] [Reference Citation Analysis]