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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:

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

Showing 26-50 of 41 citing articles:

EPILEPTIC SEIZURE PREDICTION USING WAVELET TRANSFORM, FRACTAL DIMENSION, SUPPORT VECTOR MACHINE, AND EEG SIGNALS
Andrea V. Perez-Sanchez, Martin Valtierra‐Rodriguez, Carlos A. Perez-Ramirez, et al.
Fractals (2022) Vol. 30, Iss. 07
Closed Access | Times Cited: 11
Convolutional Neural Networks-Based Framework for Early Identification of Dementia Using MRI of Brain Asymmetry
Nitsa Herzog, George D. Magoulas
International Journal of Neural Systems (2022) Vol. 32, Iss. 12
Open Access | Times Cited: 11
De-Noising of Magnetotelluric Signals by Discrete Wavelet Transform and SVD Decomposition
Rui Zhou, Jiangtao Han, Zhenyu Guo, et al.
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4932-4932
Open Access | Times Cited: 13
Computer aided progression detection model based on optimized deep LSTM ensemble model and the fusion of multivariate time series data
Hager Saleh, Eslam Amer, Tamer Abuhmed, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
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
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
Output-only entropy-based damage detection using transmissibility function
Yasaman J. Soofi, Maryam Bitaraf
Journal of Civil Structural Health Monitoring (2021) Vol. 12, Iss. 1, pp. 191-205
Closed Access | Times Cited: 10
Alzheimer’s Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks
Francesco Mercaldo, Marcello Di Giammarco, Fabrizio Ravelli, et al.
International Journal of Neural Systems (2023) Vol. 34, Iss. 02
Closed Access | Times Cited: 3
Automated Alzheimer’s Disease Diagnosis Using Norm Features Extracted from EEG Signals
Rakesh Ranjan, Bikash Chandra Sahana
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access | Times Cited: 2
Automated recognition of mental cognitive workload through nonlinear EEG analysis
Zheng Zhi-hong, Lin Weng
Web Intelligence (2024), pp. 1-18
Closed Access
Individual Recognition Based on Gait Using Multi-Distance Signal Level Difference Sample Entropy
Istiqomah, Achmad Rizal, Ratri Dwi Atmaja
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 2, pp. 469-474
Open Access | Times Cited: 1
A fuzzy rule-based approach via MATLAB for the CDR instrument for staging the severity of dementia
Wallaci Valentino, Michele Cristina Valentino, Douglas Azevedo, et al.
Computer Methods and Programs in Biomedicine Update (2022) Vol. 2, pp. 100058-100058
Open Access | Times Cited: 1
Predicting a Time-Dependent Quantity Using Recursive Generative Query Network
Grzegorz Miebs, Michał Wójcik, Adam Karaszewski, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 11
Closed Access | Times Cited: 1
Fuzzy modelling approach and soft computing mechanism for predicting cognitive impairment in old people
Yousef Methkal Abd Algani, K. Suresh Babu, Shehab Mohamed Beram, et al.
Journal of Intelligent & Fuzzy Systems (2023), pp. 1-12
Closed Access
Design and assessment of a computer-assisted artificial intelligence system for predicting preterm labor in women attending regular check-ups. Emphasis in imbalance data learning technique
Félix Nieto del Amor
(2023)
Open Access
Machine Learning Approach to Predict ADHD Types using EEG Signal Data
S Samyuktha, M B Anandaraju
(2023), pp. 1-4
Closed Access
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