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:

Clinical Neurophysiological and Automated EEG-Based Diagnosis of the Alzheimer's Disease
Shreya Bhat, U. Rajendra Acharya, Nahid Dadmehr, et al.
European Neurology (2015) Vol. 74, Iss. 3-4, pp. 202-210
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Automated MRI-Based Deep Learning Model for Detection of Alzheimer’s Disease Process
Wei Feng, Nicholas Van Halm‐Lutterodt, Hao Tang, et al.
International Journal of Neural Systems (2020) Vol. 30, Iss. 06, pp. 2050032-2050032
Closed Access | Times Cited: 146
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia
Golrokh Mirzaei, Hojjat Adeli
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103293-103293
Closed Access | Times Cited: 139
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
Alexandra-Maria Tăuƫan, Bogdan Ionescu, Emiliano Santarnecchi
Artificial Intelligence in Medicine (2021) Vol. 117, pp. 102081-102081
Closed Access | Times Cited: 105
A review of artificial intelligence methods for Alzheimer's disease diagnosis: Insights from neuroimaging to sensor data analysis
Ikram Bazarbekov, Abdul Razaque, Madina Ipalakova, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106023-106023
Closed Access | Times Cited: 17
Abnormalities of cortical neural synchronization mechanisms in patients with dementia due to Alzheimer's and Lewy body diseases: an EEG study
Claudio Babiloni, Claudio Del Percio, Roberta Lizio, et al.
Neurobiology of Aging (2017) Vol. 55, pp. 143-158
Closed Access | Times Cited: 98
Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases
Hamed Azami, Steven E. Arnold, Saeid Sanei, et al.
IEEE Access (2019) Vol. 7, pp. 68718-68733
Open Access | Times Cited: 96
Alzheimer’s disease: The state of the art in resting-state magnetoencephalography
Marjolein M.A. Engels, Wiesje M. van der Flier, Cornelis J. Stam, et al.
Clinical Neurophysiology (2017) Vol. 128, Iss. 8, pp. 1426-1437
Closed Access | Times Cited: 93
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
Machine Learning Algorithms and Statistical Approaches for Alzheimer’s Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review
Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, et al.
International Journal of Neural Systems (2021) Vol. 31, Iss. 05, pp. 2130002-2130002
Closed Access | Times Cited: 66
ExHiF: Alzheimer's disease detection using exemplar histogram-based features with CT and MR images
Ela Kaplan, Mehmet Bayğın, Prabal Datta Barua, et al.
Medical Engineering & Physics (2023) Vol. 115, pp. 103971-103971
Closed Access | Times Cited: 22
Dual-Tree Complex Wavelet Transform-Based Features for Automated Alcoholism Identification
Manish Sharma, Pragya Sharma, Ram Bilas Pachori, et al.
International Journal of Fuzzy Systems (2018) Vol. 20, Iss. 4, pp. 1297-1308
Closed Access | Times Cited: 73
Abnormalities of resting-state functional cortical connectivity in patients with dementia due to Alzheimer's and Lewy body diseases: an EEG study
Claudio Babiloni, Claudio Del Percio, Roberta Lizio, et al.
Neurobiology of Aging (2017) Vol. 65, pp. 18-40
Open Access | Times Cited: 71
A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer’s disease
Gerard Martí‐Juan, Gerard Sanroma‐Guell, Gemma Piella
Computer Methods and Programs in Biomedicine (2020) Vol. 189, pp. 105348-105348
Open Access | Times Cited: 66
Automatic detection of Alzheimer’s disease from EEG signals using low-complexity orthogonal wavelet filter banks
Digambar Puri, Sanjay L. Nalbalwar, Anil Nandgaonkar, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104439-104439
Closed Access | Times Cited: 35
Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer’s Disease
Hamed Azami, Daniel Abásolo, Samantha Simons, et al.
Entropy (2017) Vol. 19, Iss. 1, pp. 31-31
Open Access | Times Cited: 61
Atypical temporal-scale-specific fractal changes in Alzheimer’s disease EEG and their relevance to cognitive decline
Sou Nobukawa, Teruya Yamanishi, H. Nishimura, et al.
Cognitive Neurodynamics (2018) Vol. 13, Iss. 1, pp. 1-11
Open Access | Times Cited: 58
Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study
Claudio Babiloni, Claudio Del Percio, Roberta Lizio, et al.
Journal of Alzheimer s Disease (2017) Vol. 59, Iss. 1, pp. 339-358
Open Access | Times Cited: 49
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
Novel automated PD detection system using aspirin pattern with EEG signals
Prabal Datta Barua, Şengül Doğan, Türker Tuncer, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104841-104841
Closed Access | Times Cited: 34
Differential Expression of mRNAs in the Brain Tissues of Patients with Alzheimer’s Disease Based on GEO Expression Profile and Its Clinical Significance
Guowei Ma, Mingyan Liu, Ke Du, et al.
BioMed Research International (2019) Vol. 2019, pp. 1-9
Open Access | Times Cited: 35
Early hippocampal hyperexcitability in PS2APP mice: role of mutant PS2 and APP
Roberto Fontana, Mario Agostini, Emanuele Murana, et al.
Neurobiology of Aging (2016) Vol. 50, pp. 64-76
Open Access | Times Cited: 34
Detection of Alzheimer’s Dementia by Using Signal Decomposition and Machine Learning Methods
Özlem Karabiber Cura, Aydın Akan, Gülce Coşku Yılmaz, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 09
Closed Access | Times Cited: 18
Alzheimer’s Disease Diagnosis by using Dimensionality Reduction Based on Knn Classifier
M. Balamurugan, A. Nancy, S. Vijaykumar
Biomedical & Pharmacology Journal (2017) Vol. 10, Iss. 4, pp. 1823-1830
Open Access | Times Cited: 28
Eye and Voice-Controlled Human Machine Interface System for Wheelchairs Using Image Gradient Approach
Saba Anwer, Asim Waris, Hajrah Sultan, et al.
Sensors (2020) Vol. 20, Iss. 19, pp. 5510-5510
Open Access | Times Cited: 22
Dynamics of the “Cognitive” Brain Wave P3b at Rest for Alzheimer Dementia Prediction in Mild Cognitive Impairment
Camillo Porcaro, Fabrizio Vecchio, Francesca Miraglia, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 05
Closed Access | Times Cited: 13
Page 1 - Next Page

Scroll to top