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:

An Automated Approach for the Detection of Alzheimer's Disease From Resting State Electroencephalography
Eduardo Perez‐Valero, Christian Morillas, M. A. López-Gordo, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 14

Showing 14 citing articles:

EEG is better left alone
Arnaud Delorme
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 108

Inter-hospital moderate and advanced Alzheimer's disease detection through convolutional neural networks
Carlos Roncero-Parra, Alfonso Parreño Torres, Roberto Sánchez-Reolid, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26298-e26298
Open Access | Times Cited: 4

Rapid yet reliable: Optimising mobile cognitive assessment tool for older adults
Hyun‐Jeong Ko, Jin Sung Kim, Whani Kim, et al.
Research Square (Research Square) (2025)
Closed Access

Supporting the Detection of Early Alzheimer’s Disease with a Four-Channel EEG Analysis
Eduardo Perez‐Valero, Christian Morillas, M. A. López-Gordo, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 04
Open Access | Times Cited: 10

Low-Cost EEG Multi-Subject Recording Platform for the Assessment of Students’ Attention and the Estimation of Academic Performance in Secondary School
Victor Juan Fuentes-Martinez, Samuel Romero, M. A. López-Gordo, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9361-9361
Open Access | Times Cited: 9

Quantitative EEG Spectral and Connectivity Analysis for Cognitive Decline in Amnestic Mild Cognitive Impairment
Katarzyna Zawiślak-Fornagiel, Daniel Ledwoń, Monika Bugdol, et al.
Journal of Alzheimer s Disease (2024) Vol. 97, Iss. 3, pp. 1235-1247
Closed Access | Times Cited: 3

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

EEG is better left alone
Arnaud Delorme
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 12

Classification of Moderate and Advanced Alzheimer's Patients Using Radial Basis Function Based Neural Networks Initialized with Fuzzy Logic
Carlos Roncero Parra, Alfonso Parreño Torres, Jorge Mateo, et al.
IRBM (2023) Vol. 44, Iss. 5, pp. 100795-100795
Closed Access | Times Cited: 4

EEG-Based Alzheimer's Detection Using Power Spectral Density, Tsallis Entropy, Amplitude Features, and SVM Classification
A. Cissé, Zineb Farahat, Nabila Zrira, et al.
Research Square (Research Square) (2024)
Closed Access

Inter-Hospital Advanced and Mild Alzheimer’s Disease Classification Based on Electroencephalogram Measurements via Classical Machine Learning Algorithms
Alfonso Parreño Torres, Carlos Roncero-Parra, Alejandro L. Borja, et al.
Journal of Alzheimer s Disease (2023) Vol. 95, Iss. 4, pp. 1667-1683
Closed Access | Times Cited: 1

Automated Electroencephalogram Temporal Lobe Signal Processing for Diagnosis of Alzheimer Disease
Sarika Khandelwal, Harsha R. Vyawahare, Seema Babusing Rathod
Cognitive technologies (2023), pp. 95-109
Closed Access

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