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:

M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective
Su Yang, José M. Sánchez‐Bornot, KongFatt Wong‐Lin, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 66, Iss. 10, pp. 2924-2935
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Machine Learning and Novel Biomarkers for the Diagnosis of Alzheimer’s Disease
Chun-Hung Chang, Chieh‐Hsin Lin, Hsien‐Yuan Lane
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 5, pp. 2761-2761
Open Access | Times Cited: 151

Alzheimer's disease detection using depthwise separable convolutional neural networks
Junxiu Liu, Mingxing Li, Yuling Luo, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 203, pp. 106032-106032
Open Access | Times Cited: 107

Complexity of EEG Dynamics for Early Diagnosis of Alzheimer's Disease Using Permutation Entropy Neuromarker
Mesut Şeker, Yağmur Özbek, Görsev Yener, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 206, pp. 106116-106116
Closed Access | Times Cited: 76

Exploring Self-Attention Graph Pooling With EEG-Based Topological Structure and Soft Label for Depression Detection
Tao Chen, Yanrong Guo, Shijie Hao, et al.
IEEE Transactions on Affective Computing (2022) Vol. 13, Iss. 4, pp. 2106-2118
Closed 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

Advanced Overview of Biomarkers and Techniques for Early Diagnosis of Alzheimer’s Disease
Shital Rani, Sudhrita Basu Dhar, Akhil Khajuria, et al.
Cellular and Molecular Neurobiology (2023) Vol. 43, Iss. 6, pp. 2491-2523
Closed Access | Times Cited: 22

Topological Network Analysis of Early Alzheimer’s Disease Based on Resting-State EEG
Feng Duan, Zihao Huang, Zhe Sun, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 10, pp. 2164-2172
Closed Access | Times Cited: 55

Prospective biomarkers of Alzheimer’s disease: A systematic review and meta-analysis
Ruixian Li, Ya‐Hui Ma, Lan Tan, et al.
Ageing Research Reviews (2022) Vol. 81, pp. 101699-101699
Closed Access | Times Cited: 37

Quantile graphs for EEG-based diagnosis of Alzheimer’s disease
Aruane M. Pineda, Fernando M. Ramos, Luiz Eduardo Betting, et al.
PLoS ONE (2020) Vol. 15, Iss. 6, pp. e0231169-e0231169
Open Access | Times Cited: 47

A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks
Mengjia Xu, David López Sanz, Pilar Garcés, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 5, pp. 1579-1588
Open Access | Times Cited: 36

Plasma d-glutamate levels for detecting mild cognitive impairment and Alzheimer’s disease: Machine learning approaches
Chun-Hung Chang, Chieh‐Hsin Lin, Chieh‐Yu Liu, et al.
Journal of Psychopharmacology (2021) Vol. 35, Iss. 3, pp. 265-272
Closed Access | Times Cited: 36

Late combination shows that MEG adds to MRI in classifying MCI versus controls
Delshad Vaghari, Ehsanollah Kabir, Richard N. Henson
NeuroImage (2022) Vol. 252, pp. 119054-119054
Open Access | Times Cited: 23

Artificial intelligence for dementia research methods optimization
Magda Bucholc, Charlotte James, Ahmad Al Khleifat, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5934-5951
Open Access | Times Cited: 15

MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals
Md Shafayet Hossain, Sakib Mahmud, Amith Khandakar, et al.
Bioengineering (2023) Vol. 10, Iss. 5, pp. 579-579
Open Access | Times Cited: 14

SoK: Model Inversion Attack Landscape: Taxonomy, Challenges, and Future Roadmap
Sayanton V. Dibbo
(2023), pp. 439-456
Closed Access | Times Cited: 14

Diagnose Alzheimer’s disease and mild cognitive impairment using deep CascadeNet and handcrafted features from EEG signals
Khosro Rezaee, Min Zhu
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106895-106895
Closed Access | Times Cited: 5

A Multi-Modal Classification Method for Early Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease Using Three Paradigms With Various Task Difficulties
Sheng Chen, Chutian Zhang, Hongjun Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1456-1465
Open Access | Times Cited: 4

Optimizing electrode configurations for EEG mild cognitive impairment detection
Yi Jiang, Xin Zhang, Zhiwei Guo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Use of machine learning algorithms and NMR metabolomics to identify potential serum biomarkers in patients with amnestic mild cognitive impairment
Jin Chen, Fei Wan, Jiayu Qiu, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 1, pp. 101278-101278
Closed Access

DCNN-SBiL: EEG signal based mild cognitive impairment classification using compact convolutional network
Anshu Devi, M. Madhavi Latha
Expert Systems with Applications (2025), pp. 126553-126553
Closed Access

Aim-based choice of strategy for MEG-based brain state classification
Irina Saranskaia, Boris Gutkin, Denis Zakharov
The European Physical Journal Special Topics (2025)
Closed Access

Neurobiological effects of music-making interventions for older adults: a systematic review
Nelson Espinosa, Zoe Menczel Schrire, Andrew C. McKinnon, et al.
Aging Clinical and Experimental Research (2025) Vol. 37, Iss. 1
Open Access

Neurological abnormality detection from electroencephalography data: a review
Ashik Mostafa Alvi, Siuly Siuly, Hua Wang
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2275-2312
Closed Access | Times Cited: 28

Automated Prescreening of Mild Cognitive Impairment Using Shank-Mounted Inertial Sensors Based Gait Biomarkers
Ahsan Shahzad, Aresh Dadlani, Hyeonil Lee, et al.
IEEE Access (2022) Vol. 10, pp. 15835-15844
Open Access | Times Cited: 19

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