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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:

Epoch-based Entropy for Early Screening of Alzheimer’s Disease
Nesma Houmani, Gérard Dreyfus, François Vialatte
International Journal of Neural Systems (2015) Vol. 25, Iss. 08, pp. 1550032-1550032
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment
Raymundo Cassani, Mar Estarellas, Rodrigo San-Martin, et al.
Disease Markers (2018) Vol. 2018, pp. 1-26
Open Access | Times Cited: 289
Graph Theory and Brain Connectivity in Alzheimer’s Disease
Jon delEtoile, Hojjat Adeli
The Neuroscientist (2017) Vol. 23, Iss. 6, pp. 616-626
Closed Access | Times Cited: 164
Diagnosis of Alzheimer’s disease with Electroencephalography in a differential framework
Nesma Houmani, François Vialatte, Esteve Gallego-Jutglà, et al.
PLoS ONE (2018) Vol. 13, Iss. 3, pp. e0193607-e0193607
Open Access | Times Cited: 115
A novel methodology for automated differential diagnosis of mild cognitive impairment and the Alzheimer’s disease using EEG signals
Juan P. Amézquita-Sánchez, Nadia Mammone, Francesco Carlo Morabito, et al.
Journal of Neuroscience Methods (2019) Vol. 322, pp. 88-95
Closed Access | Times Cited: 97
Complexity of weighted graph: A new technique to investigate structural complexity of brain activities with applications to aging and autism
Mehran Ahmadlou, Hojjat Adeli
Neuroscience Letters (2017) Vol. 650, pp. 103-108
Closed Access | Times Cited: 75
Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects
Nadia Mammone, Cosimo Ieracitano, Hojjat Adeli, et al.
IEEE Transactions on Neural Networks and Learning Systems (2018) Vol. 29, Iss. 10, pp. 5122-5135
Closed Access | Times Cited: 75
Network Disruption in the Preclinical Stages of Alzheimer’s Disease: From Subjective Cognitive Decline to Mild Cognitive Impairment
David López‐Sanz, Pilar Garcés, Blanca Álvarez, et al.
International Journal of Neural Systems (2017) Vol. 27, Iss. 08, pp. 1750041-1750041
Closed Access | Times Cited: 74
Classification of Alzheimer’s Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation
Fabrizio Vecchio, Francesca Miraglia, Francesca Alù, et al.
Journal of Alzheimer s Disease (2020) Vol. 75, Iss. 4, pp. 1253-1261
Closed Access | Times Cited: 55
A New dispersion entropy and fuzzy logic system methodology for automated classification of dementia stages using electroencephalograms
Juan P. Amézquita-Sánchez, Nadia Mammone, Francesco Carlo Morabito, et al.
Clinical Neurology and Neurosurgery (2020) Vol. 201, pp. 106446-106446
Closed Access | Times Cited: 41
Diagnosis of Alzheimer’s Disease by Time-Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal
Morteza Amini, Mir Mohsen Pedram, Alireza Moradi, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 38
Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012–2022)
S. Janifer Jabin Jui, Ravinesh C. Deo, Prabal Datta Barua, et al.
IEEE Access (2023) Vol. 11, pp. 71905-71924
Open Access | Times Cited: 15
Brain structural disorders detection and classification approaches: a review
Kirti Raj Bhatele, Sarita Singh Bhadauria
Artificial Intelligence Review (2019) Vol. 53, Iss. 5, pp. 3349-3401
Closed Access | Times Cited: 38
Meta‐heuristic multi‐ and many‐objective optimization techniques for solution of machine learning problems
Douglas Rodrigues, João Paulo Papa, Hojjat Adeli
Expert Systems (2017) Vol. 34, Iss. 6
Closed Access | Times Cited: 36
Computer-aided prediction of extent of motor recovery following constraint-induced movement therapy in chronic stroke
Sarah Hulbert George, Mohammad Hossein Rafiei, Lynne V. Gauthier, et al.
Behavioural Brain Research (2017) Vol. 329, pp. 191-199
Closed Access | Times Cited: 34
Selection of the optimal channel configuration for implementing wearable EEG devices for the diagnosis of mild cognitive impairment
Kyeonggu Lee, Kang‐Min Choi, Seonghun Park, et al.
Alzheimer s Research & Therapy (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 18
A Novel Detection Tool for Mild Cognitive Impairment Patients Based on Eye Movement and Electroencephalogram
Juanjuan Jiang, Zhuangzhi Yan, Can Sheng, et al.
Journal of Alzheimer s Disease (2019) Vol. 72, Iss. 2, pp. 389-399
Closed Access | Times Cited: 29
Diagnosis of Alzheimer’s Disease in Developed and Developing Countries: Systematic Review and Meta-Analysis of Diagnostic Test Accuracy
Miguel Á. Chávez‐Fumagalli, Pallavi Shrivastava, Jorge Alberto Aguilar-Pineda, et al.
Journal of Alzheimer s Disease Reports (2020) Vol. 5, Iss. 1, pp. 15-30
Open Access | Times Cited: 26
Weighted Brain Network Analysis on Different Stages of Clinical Cognitive Decline
Majd Abazid, Nesma Houmani, Bernadette Dorizzi, et al.
Bioengineering (2022) Vol. 9, Iss. 2, pp. 62-62
Open Access | Times Cited: 12
Machine and Deep Learning Trends in EEG-Based Detection and Diagnosis of Alzheimer’s Disease: A Systematic Review
Marcos Avilés, Luz-María Sánchez, José M. Álvarez-Alvarado, et al.
Eng—Advances in Engineering (2024) Vol. 5, Iss. 3, pp. 1464-1484
Open Access | Times Cited: 2
Towards discovery and implementation of neurophysiologic biomarkers of Alzheimer’s disease using entropy methods
Leif Simmatis, Emma E. Russo, Yasemin Altug, et al.
Neuroscience (2024) Vol. 558, pp. 105-113
Open Access | Times Cited: 2
Spatiotemporal Oscillatory Patterns During Working Memory Maintenance in Mild Cognitive Impairment and Subjective Cognitive Decline
Noelia Serrano, David López‐Sanz, Ricardo Bruña, et al.
International Journal of Neural Systems (2019) Vol. 30, Iss. 01, pp. 1950019-1950019
Closed Access | Times Cited: 20
A Comparative Study of Functional Connectivity Measures for Brain Network Analysis in the Context of AD Detection with EEG
Majd Abazid, Nesma Houmani, Jérôme Boudy, et al.
Entropy (2021) Vol. 23, Iss. 11, pp. 1553-1553
Open Access | Times Cited: 16
Gaussian Discriminant Analysis for Optimal Delineation of Mild Cognitive Impairment in Alzheimer’s Disease
Chen Fang, Chunfei Li, Mercedes Cabrerizo, et al.
International Journal of Neural Systems (2018) Vol. 28, Iss. 08, pp. 1850017-1850017
Closed Access | Times Cited: 19
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling
Andrés Ortíz, Jorge Munilla, Francisco J. Martínez-Murcia, et al.
International Journal of Neural Systems (2018) Vol. 29, Iss. 02, pp. 1850040-1850040
Open Access | Times Cited: 15
Detection of Alzheimer and Mild Cognitive Impairment Patients by Poincare and Entropy Methods based on Electroencephalography Signals
Umut Aslan, Mehmet Feyzi Akşahin
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
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