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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:

Early diagnosis of Alzheimer’s disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts
Paolo Maria Rossini, Riccardo Di Iorio, Fabrizio Vecchio, et al.
Clinical Neurophysiology (2020) Vol. 131, Iss. 6, pp. 1287-1310
Open Access | Times Cited: 181

Showing 1-25 of 181 citing articles:

Advanced Modelling of Soil Organic Carbon Content in Coal Mining Areas Using Integrated Spectral Analysis: A Dengcao Coal Mine Case Study
Gill Ammara, Xiaojun Nie, Chang Liu
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 2844-2853
Open Access | Times Cited: 960
Western diet as a trigger of Alzheimer’s disease: From metabolic syndrome and systemic inflammation to neuroinflammation and neurodegeneration
Angelika Więckowska‐Gacek, Anna Mietelska‐Porowska, Małgorzata Wydrych, et al.
Ageing Research Reviews (2021) Vol. 70, pp. 101397-101397
Open Access | Times Cited: 238
Resting state EEG biomarkers of cognitive decline associated with Alzheimer’s disease and mild cognitive impairment
Amir H. Meghdadi, Marija Stevanović Karić, Marissa McConnell, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0244180-e0244180
Open Access | Times Cited: 172
Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel
Claudio Babiloni, Xianghong Arakaki, Hamed Azami, et al.
Alzheimer s & Dementia (2021) Vol. 17, Iss. 9, pp. 1528-1553
Open Access | Times Cited: 122
Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Journal of Medical and Biological Engineering (2023) Vol. 43, Iss. 3, pp. 291-302
Open Access | Times Cited: 45
Human brain connectivity: Clinical applications for clinical neurophysiology
Mark Hallett, Willem de Haan, Gustavo Deco, et al.
Clinical Neurophysiology (2020) Vol. 131, Iss. 7, pp. 1621-1651
Closed Access | Times Cited: 104
Selecting the most important self-assessed features for predicting conversion to mild cognitive impairment with random forest and permutation-based methods
Jaime Gómez‐Ramírez, Marina Ávila‐Villanueva, Miguel A. Fernández‐Blázquez
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 88
Nanomedicine-based technologies and novel biomarkers for the diagnosis and treatment of Alzheimer’s disease: from current to future challenges
Amanda Cano, Patric Turowski, Miren Ettcheto, et al.
Journal of Nanobiotechnology (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 87
microRNA-Based Biomarkers in Alzheimer’s Disease (AD)
Yuhai Zhao, Vivian Jaber, Peter N. Alexandrov, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 80
Body Fluid Biomarkers for Alzheimer’s Disease—An Up-To-Date Overview
Adrian Bălașa, Cristina Chircov, Alexandru Mihai Grumezescu
Biomedicines (2020) Vol. 8, Iss. 10, pp. 421-421
Open Access | Times Cited: 72
The Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat): Driving Multicentric Research and Implementation Science
Agustín Ibáñez, Jennifer S. Yokoyama, Katherine L. Possin, et al.
Frontiers in Neurology (2021) Vol. 12
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
Genuine high-order interactions in brain networks and neurodegeneration
Rubén Herzog, Fernando Rosas, Robert Whelan, et al.
Neurobiology of Disease (2022) Vol. 175, pp. 105918-105918
Open Access | Times Cited: 62
Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer’s disease, mild cognitive impairment and healthy ageing
Cameron James Huggins, Javier Escudero, Mario A. Parra, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 4, pp. 046087-046087
Open Access | Times Cited: 58
The Latin America and the Caribbean Consortium on Dementia (LAC-CD): From Networking to Research to Implementation Science
Agustín Ibáñez, Mario A. Parra, Christopher Butler
Journal of Alzheimer s Disease (2021) Vol. 82, Iss. s1, pp. S379-S394
Open Access | Times Cited: 56
Early dementia diagnosis, MCI‐to‐dementia risk prediction, and the role of machine learning methods for feature extraction from integrated biomarkers, in particular for EEG signal analysis
Paolo Maria Rossini, Francesca Miraglia, Fabrizio Vecchio
Alzheimer s & Dementia (2022) Vol. 18, Iss. 12, pp. 2699-2706
Open Access | Times Cited: 53
Novel Luteolin-Loaded Chitosan Decorated Nanoparticles for Brain-Targeting Delivery in a Sporadic Alzheimer’s Disease Mouse Model: Focus on Antioxidant, Anti-Inflammatory, and Amyloidogenic Pathways
Haidy Abbas, Nesrine S. El Sayed, Nancy Abdel Hamid Abou Youssef, et al.
Pharmaceutics (2022) Vol. 14, Iss. 5, pp. 1003-1003
Open Access | Times Cited: 53
A multiscale brain network model links Alzheimer’s disease-mediated neuronal hyperactivity to large-scale oscillatory slowing
Anne M van Nifterick, Alida A. Gouw, Ronald E. van Kesteren, et al.
Alzheimer s Research & Therapy (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 51
An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG
Elena Sibilano, Antonio Brunetti, Domenico Buongiorno, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 1, pp. 016048-016048
Open Access | Times Cited: 39
Computational methods of EEG signals analysis for Alzheimer’s disease classification
Mário Lucas Vicchietti, Fernando M. Ramos, Luiz Eduardo Betting, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 37
Beta to theta power ratio in EEG periodic components as a potential biomarker in mild cognitive impairment and Alzheimer’s dementia
Hamed Azami, Christoph Zrenner, Heather Brooks, et al.
Alzheimer s Research & Therapy (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 24
A novel hybrid model in the diagnosis and classification of Alzheimer's disease using EEG signals: Deep ensemble learning (DEL) approach
Majid Nour, Ümit Şentürk, Kemal Polat
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105751-105751
Closed Access | Times Cited: 24
Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes
Martina Kopčanová, Luke Tait, Thomas Donoghue, et al.
Neurobiology of Disease (2023) Vol. 190, pp. 106380-106380
Open Access | Times Cited: 24
Source space connectomics of neurodegeneration: One-metric approach does not fit all
Pavel Prado, Sebastián Moguilner, Jhony Mejia, et al.
Neurobiology of Disease (2023) Vol. 179, pp. 106047-106047
Open Access | Times Cited: 23
Brain health in diverse settings: How age, demographics and cognition shape brain function
Hernán Hernandez, Sandra Báez, Vicente Medel, et al.
NeuroImage (2024) Vol. 295, pp. 120636-120636
Open Access | Times Cited: 14
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