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:

B2-ViT Net: Broad Vision Transformer Network With Broad Attention for Seizure Prediction
Shuiling Shi, Wenqi Liu
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 178-188
Open Access | Times Cited: 7

Showing 7 citing articles:

Patient-Specific and Patient-Independent Seizure Prediction Using Ensemble Learning Technique
Ranjan Jana, Imon Mukherjee
Lecture notes in networks and systems (2025), pp. 41-52
Closed Access

Learning Robust Global-Local Representation from EEG for Neural Epilepsy Detection
Xinliang Zhou, Chenyu Liu, Ruizhi Yang, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 11, pp. 5720-5732
Closed Access | Times Cited: 2

Semi-Supervised Seizure Prediction Based on Deep Pairwise Representation Alignment of Epileptic EEG Signals
Nan Qi, Yan Piao, Qi Wang, et al.
IEEE Access (2024) Vol. 12, pp. 119056-119071
Open Access | Times Cited: 1

Interactive multi-agent convolutional broad learning system for EEG emotion recognition
Shuiling Shi, Wenqi Liu
Expert Systems with Applications (2024), pp. 125420-125420
Open 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

A review of epilepsy detection and prediction methods based on EEG signal processing and deep learning
Xizhen Zhang, Xiaoli Zhang, Qiong Huang, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access

Lightweight Transformer exhibits comparable performance to LLMs for Seizure Prediction: A case for light-weight models for EEG data
Paras Parani, Umair Mohammad, Fahad Saeed
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 4941-4945
Closed Access

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