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:

EEG-Based Graph Neural Network Classification of Alzheimer’s Disease: An Empirical Evaluation of Functional Connectivity Methods
Dominik Klepl, Fei He, Min Wu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2651-2660
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals
Ανδρέας Μιλτιάδους, Emmanouil Gionanidis, Katerina D. Tzimourta, et al.
IEEE Access (2023) Vol. 11, pp. 71840-71858
Open Access | Times Cited: 58

Graph Neural Network-Based EEG Classification: A Survey
Dominik Klepl, Min Wu, Fei He
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 493-503
Open Access | Times Cited: 18

A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions
Showmick Guha Paul, Arpa Saha, Md. Zahid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 15145-15170
Open Access | Times Cited: 17

EEG-Based Brain Functional Network Analysis for Differential Identification of Dementia-Related Disorders and Their Onset
Abdulyekeen T. Adebisi, Ho‐Won Lee, Kalyana C. Veluvolu
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1198-1209
Open Access | Times Cited: 7

A Review of Graph Theory-Based Diagnosis of Neurological Disorders Based on EEG and MRI
Ying Yan, Guanting Liu, Haoyang Cai, et al.
Neurocomputing (2024) Vol. 599, pp. 128098-128098
Closed Access | Times Cited: 5

A review of Graph Neural Networks for Electroencephalography data analysis
Manuel Graña, Igone Morais-Quilez
Neurocomputing (2023) Vol. 562, pp. 126901-126901
Open Access | Times Cited: 15

BNMTrans: A Brain Network Sequence-Driven Manifold-Based Transformer for Cognitive Impairment Detection Using EEG
Ruihan Qin, Zhenxi Song, Huixia Ren, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 2016-2020
Closed Access | Times Cited: 4

Identification of Alzheimer’s disease brain networks based on EEG phase synchronization
Jiayi Cao, Bin Li, Xiaoou Li
BioMedical Engineering OnLine (2025) Vol. 24, Iss. 1
Open 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

Artificial intelligence for neurodegenerative experimental models
Sarah J. Marzi, Brian M. Schilder, Alexi Nott, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5970-5987
Open Access | Times Cited: 11

Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer’s Disease Using EEG Data
Dominik Klepl, Fei He, Min Wu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3978-3987
Open Access | Times Cited: 11

EEG Signal Processing for Medical Diagnosis, Healthcare, and Monitoring: A Comprehensive Review
Nisreen Said Amer, Samir Brahim Belhaouari
IEEE Access (2023) Vol. 11, pp. 143116-143142
Open Access | Times Cited: 9

WKLD-Based Feature Extraction for Diagnosis of Epilepsy Based on EEG
Haoyang Cai, Ying Yan, Guanting Liu, et al.
IEEE Access (2024) Vol. 12, pp. 69276-69287
Open Access | Times Cited: 3

Graph neural networks for electroencephalogram analysis: Alzheimer’s disease and epilepsy use cases
Sergi Abadal, Pablo Galván, A. M. Mármol, et al.
Neural Networks (2024) Vol. 181, pp. 106792-106792
Closed Access | Times Cited: 3

Brain network analysis for the discrimination of dementia disorders using electrophysiology signals: A systematic review
Abdulyekeen T. Adebisi, Kalyana C. Veluvolu
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 7

EMPT: a sparsity Transformer for EEG-based motor imagery recognition
Ming Liu, Yanbing Liu, Weiyou Shi, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2

Machine and Deep Learning Trends in EEG-Based Detection and Diagnosis of Alzheimer’s Disease: A Systematic Review
Marcos Avilés, Luz-María Sánchez, José M. Álvarez-Alvarado, et al.
Eng—Advances in Engineering (2024) Vol. 5, Iss. 3, pp. 1464-1484
Open Access | Times Cited: 2

Kernel-based Nonlinear Manifold Learning for EEG-based Functional Connectivity Analysis and Channel Selection with Application to Alzheimer’s Disease
Rajintha Gunawardena, Ptolemaios G. Sarrigiannis, D. Blackburn, et al.
Neuroscience (2023) Vol. 523, pp. 140-156
Open Access | Times Cited: 6

The Combination of a Graph Neural Network Technique and Brain Imaging to Diagnose Neurological Disorders: A Review and Outlook
Shuoyan Zhang, Jiacheng Yang, Ying Zhang, et al.
Brain Sciences (2023) Vol. 13, Iss. 10, pp. 1462-1462
Open Access | Times Cited: 5

Cost-Sensitive Weighted Contrastive Learning Based on Graph Convolutional Networks for Imbalanced Alzheimer’s Disease Staging
Yan Hu, Jun Wang, Hao Zhu, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3126-3136
Closed Access | Times Cited: 1

Self-explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction (Preprint)
Xinyue Hu, Zenan Sun, Yi Nian, et al.
JMIR Aging (2024) Vol. 7, pp. e54748-e54748
Open Access | Times Cited: 1

Time–frequency–space transformer EEG decoding for spinal cord injury
Fangzhou Xu, Ming Liu, Xinyi Chen, et al.
Cognitive Neurodynamics (2024) Vol. 18, Iss. 6, pp. 3491-3506
Closed Access | Times Cited: 1

Multi Modal EEG-Based Classification of Alzheimer's Disease and Mild Cognitive Impairment Using Hilbert Huang Transform
Gopu Govindasamy, S. Sathish, T. S. Shanmathan, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1

Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion
Fangzhou Xu, Weiyou Shi, Chengyan Lv, et al.
International Journal of Neural Systems (2024)
Closed Access | Times Cited: 1

Page 1 - Next Page

Scroll to top