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:

Seizure Prediction Based on Transformer Using Scalp Electroencephalogram
Jianzhuo Yan, Jinnan Li, Hongxia Xu, et al.
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4158-4158
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A comprehensive survey on applications of transformers for deep learning tasks
Saidul Islam, Hanae Elmekki, Ahmed Elsebai, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122666-122666
Open Access | Times Cited: 122

EEG-based seizure prediction via Transformer guided CNN
Chang Li, Xiaoyang Huang, Rencheng Song, et al.
Measurement (2022) Vol. 203, pp. 111948-111948
Closed Access | Times Cited: 53

Supervised Machine Learning and Deep Learning Techniques for Epileptic Seizure Recognition Using EEG Signals—A Systematic Literature Review
Mohamed Sami Nafea, Zool Hilmi Ismail
Bioengineering (2022) Vol. 9, Iss. 12, pp. 781-781
Open Access | Times Cited: 40

D2PAM: Epileptic seizures prediction using adversarial deep dual patch attention mechanism
Arfat Ahmad Khan, Rakesh Kumar Madendran, Usharani Thirunavukkarasu, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 755-769
Open Access | Times Cited: 40

Exploring the Applicability of Transfer Learning and Feature Engineering in Epilepsy Prediction Using Hybrid Transformer Model
Shuaicong Hu, Jian Liu, Rui Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1321-1332
Open Access | Times Cited: 37

EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning
Zhiwei Deng, Chang Li, Rencheng Song, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106401-106401
Closed Access | Times Cited: 23

Epileptic seizure prediction via multidimensional transformer and recurrent neural network fusion
Rong Zhu, Wen-Xin Pan, Jin‐Xing Liu, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 9

Synchronization-based graph spatio-temporal attention network for seizure prediction
Jie Xiang, Yanan Li, Xubin Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

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

Graph-generative neural network for EEG-based epileptic seizure detection via discovery of dynamic brain functional connectivity
Zhengdao Li, Kai Hwang, Keqin Li, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 28

Epilepsy Seizures Prediction Based on Nonlinear Features of EEG Signal and Gradient Boosting Decision Tree
Xin Xu, Maokun Lin, Tingting Xu
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 18, pp. 11326-11326
Open Access | Times Cited: 25

Hybrid LSTM–Transformer Model for the Prediction of Epileptic Seizure Using Scalp EEG
Lili Xia, Ruiqi Wang, Haiming Ye, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21123-21131
Closed Access | Times Cited: 4

Cross-patient seizure prediction via continuous domain adaptation and similar sample replay
Ziye Zhang, Aiping Liu, Yikai Gao, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access

NADG-GAM: Neighbor aggregation-based neurological disease-gene identification via optimal generative adjacency matrix
Mengyuan Jin, Ziyi Deng, Yin Zhang, et al.
Applied Soft Computing (2025), pp. 112756-112756
Closed Access

Tiny CNN-Based Supervised Contrastive Learning for Seizure Prediction
Yongfeng Zhang, Hailing Feng, Shuai Wang, et al.
International Journal of Neural Systems (2025)
Closed Access

Automatic Seizure Detection Based on Stockwell Transform and Transformer
Xiangwen Zhong, Guoyang Liu, Xingchen Dong, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 77-77
Open Access | Times Cited: 10

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

Parallel Dual-Branch Fusion Network for Epileptic Seizure Prediction
Hongcheng Ma, Yajing Wu, Yongqiang Tang, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108565-108565
Closed Access | Times Cited: 3

EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices
Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, et al.
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) (2022), pp. 640-644
Closed Access | Times Cited: 11

Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs
Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, et al.
IEEE Transactions on Biomedical Circuits and Systems (2024) Vol. 18, Iss. 3, pp. 608-621
Open Access | Times Cited: 2

Distilling Invariant Representations With Domain Adversarial Learning for Cross-Subject Children Seizure Prediction
Ziye Zhang, Aiping Liu, Yikai Gao, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 1, pp. 202-211
Closed Access | Times Cited: 5

Epileptic Seizure Prediction Using 1D-MobileNet
Shilpa SJ, Ravishankar Mehta, Sergey Vityazev, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 4

Epileptic seizure prediction based on multiresolution convolutional neural networks
Ali K. Ibrahim, Hanqi Zhuang, Emmanuelle Tognoli, et al.
Frontiers in Signal Processing (2023) Vol. 3
Open Access | Times Cited: 4

Computer-assisted analysis of routine EEG to identify hidden biomarkers of epilepsy: A systematic review
Émile Lemoine, Joel Neves Briard, Bastien Rioux, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 24, pp. 66-86
Open Access | Times Cited: 4

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