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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:

Multi-Channel Vision Transformer for Epileptic Seizure Prediction
Ramy Hussein, Soojin Lee, Rabab Ward
Biomedicines (2022) Vol. 10, Iss. 7, pp. 1551-1551
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Connecting the indispensable roles of IoT and artificial intelligence in smart cities: A survey
Hoang Nguyen, Dina Nawara, Rasha Kashef
Journal of Information and Intelligence (2024)
Open Access | Times Cited: 24
Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari
IEEE Access (2023) Vol. 11, pp. 127271-127301
Open Access | Times Cited: 29
Transformers in EEG Analysis: A Review of Architectures and Applications in Motor Imagery, Seizure, and Emotion Classification
Elnaz Vafaei, Mohammad Hosseini
Sensors (2025) Vol. 25, Iss. 5, pp. 1293-1293
Open Access | Times Cited: 1
Bi-Branch Vision Transformer Network for EEG Emotion Recognition
Wei Lu, Tien-Ping Tan, Hua Ma
IEEE Access (2023) Vol. 11, pp. 36233-36243
Open Access | Times Cited: 22
Comprehensive review of Transformer‐based models in neuroscience, neurology, and psychiatry
Shan Cong, Hang Wang, Yang Zhou, et al.
Brain‐X (2024) Vol. 2, Iss. 2
Open Access | Times Cited: 7
Efficient graph convolutional networks for seizure prediction using scalp EEG
Manhua Jia, Wenjian Liu, Junwei Duan, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 27
Seizure prediction based on improved vision transformer model for EEG channel optimization
N. D. Qi, Yan Piao, Hao Zhang, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-12
Closed Access | Times Cited: 5
Utilizing portable electroencephalography to screen for pathology of Alzheimer’s disease: a methodological advancement in diagnosis of neurodegenerative diseases
Masahiro Hata, Yuki Miyazaki, Kohji Mori, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 5
EEG-Based Seizure Prediction Using Hybrid DenseNet–ViT Network with Attention Fusion
Shasha Yuan, K.Q. Yan, Shihan Wang, et al.
Brain Sciences (2024) Vol. 14, Iss. 8, pp. 839-839
Open Access | Times Cited: 5
Detection of Epileptic Seizures Based-on Channel Fusion and Transformer Network in EEG Recordings
José Yauri, Manuel Lagos, Hugo Vega-Huerta, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 11
A ResNet-LSTM hybrid model for predicting epileptic seizures using a pretrained model with supervised contrastive learning
Dohyun Lee, Byunghyun Kim, Taejoon Kim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Transformers in biosignal analysis: A review
Ayman Anwar, Yassin Khalifa, James L. Coyle, et al.
Information Fusion (2024) Vol. 114, pp. 102697-102697
Closed Access | Times Cited: 4
Kan-Memvit: A Memory Cached Vision Transformer With Kolmogorov–Arnold Network for Seizure Prediction
Peng Hao, Wenqian Feng, Chenxi Nie, et al.
(2025)
Closed Access
Epileptic seizure prediction method based on transition network data augmentation and fuzzy granular recurrence plot
Guangyu Yang, Dafeng Long, Kai Wang, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107837-107837
Closed Access
Self-Supervised Learning with Adaptive Frequency-Time Attention Transformer for Seizure Prediction and Classification
Yajin Huang, Yuncan Chen, Shimin Xu, et al.
Brain Sciences (2025) Vol. 15, Iss. 4, pp. 382-382
Open Access
Dissociating physiological ripples and epileptiform discharges with vision transformers
Da Zhang, Jonathan K. Kleen
(2025)
Open Access
The Choice of Evaluation Metrics in the Prediction of Epileptiform Activity
Nikolay V. Gromov, Albina Lebedeva, Ivan Kipelkin, et al.
Communications in computer and information science (2024), pp. 280-293
Closed Access | Times Cited: 3
Signal to Image Conversion and Convolutional Neural Networks for Physiological Signal Processing: A Review
K. Vidyasagar, K. Revanth Kumar, G. N. K. Anantha Sai, et al.
IEEE Access (2024) Vol. 12, pp. 66726-66764
Open Access | Times Cited: 3
An Efficient Epilepsy Prediction Model on European Dataset With Model Evaluation Considering Seizure Types
Shiva Maleki Varnosfaderani, Ian McNulty, Nabil J. Sarhan, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 5842-5854
Closed Access | Times Cited: 1
Automatic Diagnosis of Epileptic Seizures using Entropy-based Features and Multimodel Deep Learning Approaches
Noor Kamal Al-Qazzaz, Maher Alrahhal, Sumai Hamad Jaafer, et al.
Medical Engineering & Physics (2024) Vol. 130, pp. 104206-104206
Closed Access | Times Cited: 1
DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data
Deeksha M. Shama, Jiasen Jing, Archana Venkataraman
Lecture notes in computer science (2023), pp. 184-194
Closed Access | Times Cited: 3
Double Discrete Variational Autoencoder for Epileptic EEG Signals Classification
Shufeng Liang, Xin Zhang, Hulin Zhao, et al.
IEEE Access (2024) Vol. 12, pp. 106567-106578
Open Access
Designing Pre-training Datasets from Unlabeled Data for EEG Classification with Transformers
Tim Bary, Benoît Macq
(2024), pp. 25-30
Open Access
Time–frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities
Shaswati Dash, Dinesh Kumar Dash, Rajesh Kumar Tripathy, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107041-107041
Closed Access
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring
Luca Benfenati, Thorir Mar Ingolfsson, Andrea Cossettini, et al.
(2024), pp. 1-4
Closed Access
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