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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:

Spatio-temporal MLP network for seizure prediction using EEG signals
Chang Li, Chenghao Shao, Rencheng Song, et al.
Measurement (2022) Vol. 206, pp. 112278-112278
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

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
Optimization of epilepsy detection method based on dynamic EEG channel screening
Yuebin Song, Chunling Fan, Xiaoqian Mao
Neural Networks (2024) Vol. 172, pp. 106119-106119
Closed Access | Times Cited: 10
CTCNet: A CNN Transformer capsule network for sleep stage classification
Weijie Zhang, Chang Li, Hu Peng, et al.
Measurement (2024) Vol. 226, pp. 114157-114157
Closed Access | Times Cited: 7
Source-Free Domain Adaptation for Privacy-Preserving Seizure Prediction
Yuchang Zhao, Shuai Feng, Chang Li, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2787-2798
Closed Access | Times Cited: 15
Automated biomedical measurements analysis: Innovative models based on machine learning for predicting laboratory results in nephrology
Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel
Expert Systems with Applications (2025), pp. 126568-126568
Closed Access
Automation and Decision Support in Nephrology: An Expert System Based on AI and ML for the Assessment, Treatment, and Management of Focal Segmental Glomerulosclerosis
Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1044-1044
Open Access
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
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
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
Online Seizure Prediction via Fine-Tuning and Test-Time Adaptation
Tingting Mao, Chang Li, Rencheng Song, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 20784-20796
Closed Access | Times Cited: 2
Electroencephalogram (EEG) classification using a bio-inspired deep oscillatory neural network
Sayan Ghosh, Vigneswaran Chandrasekaran, NR Rohan, et al.
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107379-107379
Open Access | Times Cited: 2
Online Test-Time Adaptation for Patient-Independent Seizure Prediction
Tingting Mao, Chang Li, Yuchang Zhao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23133-23144
Closed Access | Times Cited: 6
EEG Channel Selection for Epileptic Seizure Prediction
Michail Marinis, Εleni Vrochidou, George A. Papakostas
(2024), pp. 1-4
Closed Access | Times Cited: 1
Computer aided diagnostic system with reduced electrode set for depression detection using spatio-temporal attention mechanism
Shubham Choudhary, Manish Kumar Bajpai, Kusum Kumari Bharti
Measurement (2024) Vol. 239, pp. 115500-115500
Closed Access | Times Cited: 1
Calibrating Deep Learning Classifiers for Patient-Independent Electroencephalogram Seizure Forecasting
Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2863-2863
Open Access | Times Cited: 1
Electroencephalogram (EEG) Classification using a bio-inspired Deep Oscillatory Neural Network
Sayan Ghosh, C. Vigneswaran, NR Rohan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
An overview of electroencephalogram based human-computer interface
Md Mahmudul Hasan, Siti Armiza Mohd Aris, Norizam Sulaiman
Elsevier eBooks (2024), pp. 79-102
Closed Access | Times Cited: 1
EEG-based patient-specific seizure prediction based on Spatial–Temporal Hypergraph Attention Transformer
Changxu Dong, Dengdi Sun, Zejing Zhang, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107075-107075
Closed Access | Times Cited: 1
CNN-Informer: A Hybrid Deep Learning Model for Seizure Detection on Long-term EEG
Chuanyu Li, Haotian Li, Xingchen Dong, et al.
Neural Networks (2024) Vol. 181, pp. 106855-106855
Closed Access | Times Cited: 1
A self-supervised graph network with time-varying functional connectivity for seizure prediction
Boxuan Wei, Lu Xu, Jicong Zhang
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107375-107375
Closed Access | Times Cited: 1
One‐dimensional atrous conv‐net based architecture for automatic diagnosis of epilepsy using electroencephalography signals and its brain–computer interface applications
Palak Handa, Muskan Gupta, Esha Gupta, et al.
Expert Systems (2023) Vol. 41, Iss. 4
Closed Access | Times Cited: 3
3D Visual Discomfort Assessment With a Weakly Supervised Graph Convolution Neural Network Based on Inaccurately Labeled EEG
Na Lu, Xiaojie Zhao, Li Yao
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1164-1176
Open Access
African Vultures Based Feature Selection with Multi-modal Deep Learning for Automatic Seizure Prediction
Mounika Nallur, Mulagala Sandhya, Zabiha Khan, et al.
(2024), pp. 1-7
Closed Access
On the performance of seizure prediction machine learning methods across different databases: the sample and alarm-based perspectives
Inés Lozano Andrade, César Teixeira, Mauro F. Pinto
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Internet of things based smart framework for the safe driving experience of two wheelers
Gunjan Chhabra, Keshav Kaushik, Pardeep Singh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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