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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:

Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi-Channel EEG
Kai Li, Jiang Wang, Shanshan Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1557-1567
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Adazd-Net: Automated adaptive and explainable Alzheimer’s disease detection system using EEG signals
Smith K. Khare, U. Rajendra Acharya
Knowledge-Based Systems (2023) Vol. 278, pp. 110858-110858
Open Access | Times Cited: 47
Optimization of VGG16 utilizing the Arithmetic Optimization Algorithm for early detection of Alzheimer’s disease
N. Deepa, S. P. Chokkalingam
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103455-103455
Closed Access | Times Cited: 57
Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey
Omer Asghar Dara, José Manuel López-Guede, Hasan Issa Raheem, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8298-8298
Open Access | Times Cited: 26
Spatial–temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram
Xiaocai Shan, Jun Cao, Shoudong Huo, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 17, pp. 5194-5209
Open Access | Times Cited: 32
A systematic review and methodological analysis of EEG-based biomarkers of Alzheimer's disease
Aslan Modir, Sina Shamekhi, Peyvand Ghaderyan
Measurement (2023) Vol. 220, pp. 113274-113274
Closed Access | Times Cited: 21
Multi-feature fusion learning for Alzheimer's disease prediction using EEG signals in resting state
Yonglin Chen, Huabin Wang, Dailei Zhang, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 16
Multiscale entropy with electrocardiograph, electromyography, electroencephalography, and photoplethysmography signals in healthcare: A twelve-year systematic review
Hsien–Tsai Wu
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106124-106124
Closed Access | Times Cited: 7
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Huan Zhao, Junyi Cao, Junxiao Xie, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 13
Alzheimer’s Prediction Methods with Harris Hawks Optimization (HHO) and Deep Learning-Based Approach Using an MLP-LSTM Hybrid Network
Raheleh Ghadami, Javad Rahebi
Diagnostics (2025) Vol. 15, Iss. 3, pp. 377-377
Open Access
Unified multi-protocol MRI for Alzheimer’s disease diagnosis: Dual-decoder adversarial autoencoder and ensemble residual shrinkage attention network
Shiyao Li, Shukuan Lin, Yue Tu, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107660-107660
Closed Access
Unlocking the Potential of EEG in Alzheimer's Disease Research: Current Status and Pathways to Precision Detection
Faisal Akbar, Imran Taj, Syed Muhammad Usman, et al.
Brain Research Bulletin (2025), pp. 111281-111281
Open Access
Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review
Hakan Uyanık, Abdulkadir Sengur, Massimo Salvi, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 1
Open Access
RETRACTED: An effective convolutional neural network-based stacked long short-term memory approach for automated Alzheimer’s disease prediction
S. Saravanakumar, T. Saravanan
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 4, pp. 4501-4516
Closed Access | Times Cited: 20
EEG complexity-based algorithm using Multiscale Fuzzy Entropy: Towards a detection of Alzheimer’s disease
Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, et al.
Measurement (2023) Vol. 225, pp. 114040-114040
Open Access | Times Cited: 11
Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands
Taufique Ahmed, Luca Longo
IEEE Access (2022) Vol. 10, pp. 107575-107586
Open Access | Times Cited: 17
A Greedy Optimized Intelligent Framework for Early Detection of Alzheimer’s Disease Using EEG Signal
R. Swarnalatha
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 9
Speech2EEG: Leveraging Pretrained Speech Model for EEG Signal Recognition
Jinzhao Zhou, Yiqun Duan, Yingying Zou, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2140-2153
Open Access | Times Cited: 9
Diagnosis of attention deficit hyperactivity disorder: A deep learning approach
Nizar Alsharif, Mosleh Hmoud Al-Adhaileh, Mohammed Al‐Yaari
AIMS Mathematics (2024) Vol. 9, Iss. 5, pp. 10580-10608
Open Access | Times Cited: 3
Ensemble deep learning approach for early diagnosis of Alzheimer's disease
Rajasekhar Butta, Mastan Sharif Shaik, G. L. N. Murthy
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
Low‐rank preserving embedding regression for robust image feature extraction
Tao Zhang, Chen‐Feng Long, Yang‐Jun Deng, et al.
IET Computer Vision (2023) Vol. 18, Iss. 1, pp. 124-140
Open Access | Times Cited: 8
Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning
C. Kalpana, G. Mohanbabu
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106440-106440
Closed Access | Times Cited: 2
Efficient identification of Alzheimer’s brain dynamics with Spatial-Temporal Autoencoder: A deep learning approach for diagnosing brain disorders
Ling‐Yun Wu, Quanfa Zhao, Jing Liu, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 104917-104917
Closed Access | Times Cited: 6
Alzheimer's Disease Analysis Algorithm Based on No-threshold Recurrence Plot Convolution Network
Xuemei Li, Tao Zhou, Shi Qiu
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 10
Progress of Brain Network Studies on Anesthesia and Consciousness: Framework and Clinical Applications
Jun Liu, Kangli Dong, Yi Sun, et al.
Engineering (2021) Vol. 20, pp. 77-95
Open Access | Times Cited: 13
Automated diagnosis of schizophrenia based on spatial–temporal residual graph convolutional network
Xinyi Xu, Geng Zhu, Bin Li, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 1
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