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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:

An Epileptic Seizure Prediction Method Based on CBAM-3D CNN-LSTM Model
Xiang Lu, Anhao Wen, Lei Sun, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2023) Vol. 11, pp. 417-423
Open Access | Times Cited: 21

Showing 21 citing articles:

A multi-dimensional hybrid CNN-BiLSTM framework for epileptic seizure detection using electroencephalogram signal scrutiny
Aravind Britto K.R, Saravanan Srinivasan, Sandeep Kumar Mathivanan, et al.
Systems and Soft Computing (2023) Vol. 5, pp. 200062-200062
Open Access | Times Cited: 11
A hybrid optimization-enhanced 1D-ResCNN framework for epileptic spike detection in scalp EEG signals
Priyaranjan Kumar, Prabhat Kumar Upadhyay
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
ReCESS: Replay-Based Continual Equivariant Learning with State-Space for Seizure Detection from Multichannel EEG
Ramzan Basheer, Deepak Mishra
(2025)
Closed Access
Epileptic seizures diagnosis and prognosis from EEG signals using heterogeneous graph neural network
Areej Alasiry, Gabriel Avelino Sampedro, Ahmad Almadhor, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2765-e2765
Open Access
Simultaneous EEG-fNIRS Data Classification Through Selective Channel Representation and Spectrogram Imaging
Chayut Bunterngchit, Jiaxing Wang, Zeng‐Guang Hou
IEEE Journal of Translational Engineering in Health and Medicine (2024) Vol. 12, pp. 600-612
Open Access | Times Cited: 3
Technological Vanguard: the outstanding performance of the LTY-CNN model for the early prediction of epileptic seizures
Yang Yang, Tianyun Luan, Zhangjun Yu, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer
Qinyu Chen, Congyi Sun, Chang Gao, et al.
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2024), pp. 1-5
Open Access | Times Cited: 2
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
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
Smart Societal Optimization-based Deep Learning Convolutional Neural Network Model for Epileptic Seizure Prediction
Pratibha S Sonawane, Jagdish B. Helonde
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Seizure Detection with 2D Spectrogram Using CNN and SVM Integration
Priyaranjan Kumar, Prabhat Kumar Upadhyay
(2024), pp. 1-6
Closed Access
Affective EEG-based Person Identification with Continual Learning
Jiarui Jin, Zongnan Chen, Honghua Cai, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-16
Closed Access
Detection of Seizures Through Pre-Ictal Phase Using Optimized 1D-Capsule Network
Jerlin Vinodh, E. Grace Mary Kanaga
(2024), pp. 1-5
Closed Access
Machine Learning Models for Probability Classification in Spectrographic EEG Seizures Dataset
Denis Manolescu, Noel J. Buckley, Emanuele Lindo Secco
WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE (2024) Vol. 21, pp. 260-271
Open Access
Multi-perspective characterization of seizure prediction based on microstate analysis
Wei Shi, Yina Cao, Fangni Chen, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
DCSENets: Interpretable deep learning for patient-independent seizure classification using enhanced EEG-based spectrogram visualization
Sunday Timothy Aboyeji, Ijaz Ahmad, Xin Wang, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109558-109558
Closed Access
Pioneering Seizure Prediction: Exploring ML and DL Approaches with IEEG Data
Veera Venkata Raghunath, Dedeepya Sai Gondi, Jubin Thomas, et al.
(2024), pp. 1-6
Closed 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
OGCP: Experimental Evaluation of Epilepsy Disease Prediction Using Optimized Gradient Classification Principle
H. Prasad, G. Ramkumar
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 1386-1392
Closed Access
A Lightweight Deep Learning Model for The Early Detection of Epilepsy
E. Saranya
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 10, pp. 397-405
Open Access | Times Cited: 1
Technological Vanguard: The Outstanding Performance of the LTY-CNN Model for the Early Prediction of Epileptic Seizures
Yang Yang, Tianyun Luan, Zhangjun Yu, et al.
Research Square (Research Square) (2023)
Open Access
Advancing Epilepsy Disease Classification through Machine Learning and Deep Learning Models Utilizing EEG Data.
Adnan Saleem, Muhammad Khan, Hafiz Muhammad Yousaf
(2023), pp. 1-8
Closed Access
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