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:

Classification Methods Based on Complexity and Synchronization of Electroencephalography Signals in Alzheimer’s Disease
Sou Nobukawa, Teruya Yamanishi, Shinya Kasakawa, et al.
Frontiers in Psychiatry (2020) Vol. 11
Open Access | Times Cited: 72

Showing 26-50 of 72 citing articles:

Evaluation of the coupling among visual stimuli, eye fluctuations, and brain signals
Avinash Menon, Ondřej Krejcar, Hamidreza Namazi
Chaos Solitons & Fractals (2021) Vol. 153, pp. 111492-111492
Open Access | Times Cited: 16
Alteration of Neural Network Activity With Aging Focusing on Temporal Complexity and Functional Connectivity Within Electroencephalography
Momo Ando, Sou Nobukawa, Mitsuru Kikuchi, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 11
EEG-Based Functional Connectivity Analysis for Cognitive Impairment Classification
Isabel Echeverri-Ocampo, Karen Ardila, José Molina‐Mateo, et al.
Electronics (2023) Vol. 12, Iss. 21, pp. 4432-4432
Open Access | Times Cited: 6
Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer's Disease
Surya Sarathi Das, Subha D. Puthankattil
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 9
Enhanced temporal complexity of EEG signals in older individuals with high cognitive functions
Yuta Iinuma, Sou Nobukawa, Kimiko Mizukami, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 9
Hyperconnectivity matters in early-onset Alzheimer's disease: a resting-state EEG connectivity study
Ezgi Fide, Duygu Hünerli-Gündüz, İ̇brahim Öztura, et al.
Neurophysiologie Clinique (2022) Vol. 52, Iss. 6, pp. 459-471
Closed Access | Times Cited: 9
Hub structure in functional network of EEG signals supporting high cognitive functions in older individuals
Mayuna Tobe, Sou Nobukawa, Kimiko Mizukami, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 5
Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research
Tomoaki Ishibashi, Sou Nobukawa, Mayuna Tobe, et al.
Psychiatry and Clinical Neurosciences Reports (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Exploring the disruptions of the neurophysiological organization in Alzheimer’s disease: An integrative approach
Víctor Gutiérrez-de Pablo, Jesús Poza, Aarón Maturana-Candelas, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 250, pp. 108197-108197
Open Access | Times Cited: 1
Is EEG Entropy a Useful Measure for Alzheimer's Disease?
Manuel Alejandro Zúñiga, Ángela Rocío Acero González, Juan C. Restrepo-Castro, et al.
Actas Españolas de Psiquiatría (2024) Vol. 52, Iss. 3, pp. 347-364
Open Access | Times Cited: 1
Recent trends in multiple metrics and multimodal analysis for neural activity and pupillometry
Sou Nobukawa, Aya Shirama, Tetsuya Takahashi, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1
EEG-based Graph Neural Network Classification of Alzheimer’s Disease: An Empirical Evaluation of Functional Connectivity Methods
Dominik Klepl, Fei He, Min Wu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 6
Who's driving? The default mode network in healthy elderly individuals at risk of cognitive decline
Mauricio González-López, Eduardo Gonzalez-Moreira, Ariosky Areces-González, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 6
Phenotyping Neuropsychiatric Symptoms Profiles of Alzheimer’s Disease Using Cluster Analysis on EEG Power
Friedrich Liu, Jong‐Ling Fuh, Chung‐Kang Peng, et al.
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 7
EEG-Based Spectral Dynamic in Characterization of Poststroke Patients with Cognitive Impairment for Early Detection of Vascular Dementia
Sugondo Hadiyoso, Paulus Anam Ong, Hasballah Zakaria, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 5
Deterministic characteristics of spontaneous activity detected by multi-fractal analysis in a spiking neural network with long-tailed distributions of synaptic weights
Sou Nobukawa, Nobuhiko Wagatsuma, H. Nishimura
Cognitive Neurodynamics (2020) Vol. 14, Iss. 6, pp. 829-836
Open Access | Times Cited: 6
Evaluation of classification approaches for distinguishing brain states predictive of episodic memory performance from electroencephalography
Soroush Mirjalili, Patrick S. Powell, Jonathan Strunk, et al.
NeuroImage (2021) Vol. 247, pp. 118851-118851
Open Access | Times Cited: 6
Dynamical Characteristics of State Transition Defined by Neural Activity of Phase in Alzheimer’s Disease
Sou Nobukawa, Takashi Ikeda, Mitsuru Kikuchi, et al.
Communications in computer and information science (2021), pp. 46-54
Closed Access | Times Cited: 6
Assessment of functional connectivity induced by driving experience
Masahiro Tsurushima, Keita Otsu, Sou Nobukawa, et al.
Nonlinear Theory and Its Applications IEICE (2023) Vol. 14, Iss. 2, pp. 559-568
Open Access | Times Cited: 2
Analysing Gamma Frequency Components in EEG Signals: A Comprehensive Extraction Approach
Tanvir Hasib, Vijayakumar Vengadasalam
Journal of Informatics and Web Engineering (2023) Vol. 2, Iss. 2, pp. 141-152
Open Access | Times Cited: 2
Gamma Band Functional Connectivity Enhanced by Driving Experience
Sou Nobukawa, Nobuhiko Wagatsuma, Keiichiro Inagaki
2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech) (2021), pp. 379-381
Closed Access | Times Cited: 5
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease
Dominik Klepl, Fei He, Min Wu, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 305-308
Open Access | Times Cited: 3
Detecting Cognitive Decline in Alzheimer's Disease using Brain Signals: An EEG Based Classification Approach
Asmaa Nasr Mohammed
(2024), pp. 613-618
Closed Access
A Review of Datasets, Optimization Strategies, and Learning Algorithms for Analyzing Alzheimer’s Dementia Detection
Vanaja Thulasimani, Kogilavani Shanmugavadivel, Jaehyuk Cho, et al.
Neuropsychiatric Disease and Treatment (2024) Vol. Volume 20, pp. 2203-2225
Open Access
Neural markers of reduced arousal and consciousness in mild cognitive impairment
Mar Estarellas, Jonathan Huntley, Daniel Bor
International Journal of Geriatric Psychiatry (2024) Vol. 39, Iss. 6
Open Access

Scroll to top