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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:

A Novel Multi-scale 3D CNN with Deep Neural Network for Epileptic Seizure Detection
Gwang‐Ho Choi, Chulkyun Park, Junkyung Kim, et al.
2023 IEEE International Conference on Consumer Electronics (ICCE) (2019)
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5780-5780
Open Access | Times Cited: 300
EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review
Ijaz Ahmad, Xin Wang, Mingxing Zhu, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 103
Optimizing epileptic seizure recognition performance with feature scaling and dropout layers
Ahmed Omar, Tarek Abd El‐Hafeez
Neural Computing and Applications (2023) Vol. 36, Iss. 6, pp. 2835-2852
Open Access | Times Cited: 76
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106053-106053
Open Access | Times Cited: 56
Applications of Artificial Intelligence in Automatic Detection of Epileptic Seizures Using EEG Signals: A Review
Sani Saminu, Guizhi Xu, Shuai Zhang, et al.
Artificial Intelligence and Applications (2022) Vol. 1, Iss. 1, pp. 11-25
Open Access | Times Cited: 41
A Hybrid DenseNet-LSTM Model for Epileptic Seizure Prediction
Sang-Uk Ryu, Inwhee Joe
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7661-7661
Open Access | Times Cited: 50
Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model
Xingchen Dong, Yiming Wen, Dezan Ji, et al.
International Journal of Neural Systems (2023) Vol. 34, Iss. 03
Closed Access | Times Cited: 14
TSD: Transformers for Seizure Detection
Yongpei Ma, Chunyu Liu, Maria Sabrina, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 13
Patient-Independent Epileptic Seizure Detection with Reduced EEG Channels and Deep Recurrent Neural Networks
Nadine El-Dajani, Tabea Wilhelm, Jan Baumann, et al.
Information (2025) Vol. 16, Iss. 1, pp. 20-20
Open Access
Deep‐learning‐based seizure detection and prediction from electroencephalography signals
Fatma E. Ibrahim, Heba M. Emara, Walid El‐Shafai, et al.
International Journal for Numerical Methods in Biomedical Engineering (2022) Vol. 38, Iss. 6
Closed Access | Times Cited: 19
Multiclass classification of epileptic seizure phases using a novel HFO-based feature extraction model
Pelin Sari Tekten, Soner Kotan, Fırat Kaçar
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
A Convolutional Gated Recurrent Neural Network for Epileptic Seizure Prediction
Abir Affes, Afef Mdhaffar, Chahnez Triki, et al.
Lecture notes in computer science (2019), pp. 85-96
Open Access | Times Cited: 32
Convolutional neural network for detection and classification of seizures in clinical data
Tomas Iešmantas, Robertas Alzbutas
Medical & Biological Engineering & Computing (2020) Vol. 58, Iss. 9, pp. 1919-1932
Open Access | Times Cited: 31
Epileptic seizure detection using deep learning techniques: A Review
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 29
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 25
KAN-EEG: Towards Replacing Backbone-MLP for an Effective Seizure Detection System
Luis Fernando Herbozo Contreras, Jiashuo Cui, Leping Yu, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review
Palak Handa, Lavanya Lavanya, Nidhi Goel, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 3
Generalizable Seizure Detection Model Using Generating Transferable Adversarial Features
Samaneh Nasiri, Gari D. Clifford
IEEE Signal Processing Letters (2021) Vol. 28, pp. 568-572
Open Access | Times Cited: 21
EEG Datasets in Machine Learning Applications of Epilepsy Diagnosis and Seizure Detection
Palak Handa, Monika Mathur, Nidhi Goel
SN Computer Science (2023) Vol. 4, Iss. 5
Closed Access | Times Cited: 8
A Study on Seizure Detection of EEG Signals Represented in 2D
Zhiwen Xiong, Huibin Wang, Lili Zhang, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5145-5145
Open Access | Times Cited: 17
Automatic prediction of epileptic seizure using hybrid deep ResNet-LSTM model
Yajuvendra Pratap Singh, D. K. Lobiyal
AI Communications (2023) Vol. 36, Iss. 1, pp. 57-72
Closed Access | Times Cited: 6
Neural Network Based Epileptic EEG Detection and Classification
Shivam Gupta, Jyoti Meena, Jeetendra Kumar Gupta
ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL (2020) Vol. 9, Iss. 2, pp. 23-32
Open Access | Times Cited: 16
A Koopman-operator-theoretical approach for anomaly recognition and detection of multi-variate EEG system
Shaodi Qian, Chun-An Chou
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102911-102911
Closed Access | Times Cited: 15
Review on Epilepsy Detection with Explainable Artificial Intelligence
Prajakta Rathod, Shefali Naik
2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) (2022), pp. 1-6
Closed Access | Times Cited: 10
Automated diagnosis of EEG abnormalities with different classification techniques
Essam Abdellatef, Heba M. Emara, Mohamed R. Shoaib, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 12, pp. 3363-3385
Closed Access | Times Cited: 5
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