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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:

Deep Learning Approach for Epileptic Focus Localization
Hisham Daoud, Magdy Bayoumi
IEEE Transactions on Biomedical Circuits and Systems (2019) Vol. 14, Iss. 2, pp. 209-220
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Shu Gong, Kaibo Xing, Andrzej Cichocki, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 2, pp. 348-365
Open Access | Times Cited: 72
Personalized Real-Time Federated Learning for Epileptic Seizure Detection
Saleh Baghersalimi, Tomás Teijeiro, David Atienza, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 2, pp. 898-909
Open Access | Times Cited: 64
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
Smart neurocare approach for detection of epileptic seizures using deep learning based temporal analysis of EEG patterns
Kuldeep Singh, Jyoteesh Malhotra
Multimedia Tools and Applications (2022) Vol. 81, Iss. 20, pp. 29555-29586
Closed Access | Times Cited: 41
Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection
Sheng Wong, Anj Simmons, Jessica Rivera‐Villicana, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107484-107484
Open Access | Times Cited: 1
A Spatiotemporal Graph Attention Network Based on Synchronization for Epileptic Seizure Prediction
Yao Wang, Yufei Shi, Yinlin Cheng, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 900-911
Open Access | Times Cited: 28
Self-supervised Learning with Attention Mechanism for EEG-based seizure detection
Tiantian Xiao, Ziwei Wang, Yongfeng Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105464-105464
Closed Access | Times Cited: 17
Design of an Efficient CNN-Based Cough Detection System on Lightweight FPGA
Peng Peng, Kai Jiang, Mingyu You, et al.
IEEE Transactions on Biomedical Circuits and Systems (2023) Vol. 17, Iss. 1, pp. 116-128
Closed Access | Times Cited: 13
Selected Channel based Multiclass Emotion Classification from Wearable Human Brain EEG Signal
Khushboo Singh, Mitul Kumar Ahirwal, Manish Pandey
Measurement Sensors (2025), pp. 101874-101874
Open Access
FPGA implementation of epileptic seizure detection using semisupervised reduced deep convolutional neural network
Mrutyunjaya Sahani, Susanta Kumar Rout, P.K. Dash
Applied Soft Computing (2021) Vol. 110, pp. 107639-107639
Closed Access | Times Cited: 31
Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach
Yipeng Zhang, Qiujing Lu, Tonmoy Monsoor, et al.
Brain Communications (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 30
EEG signal analysis using deep learning: A systematic literature review
Ghita Amrani, Amina Adadi, Mohammed Berrada, et al.
(2021), pp. 1-8
Closed Access | Times Cited: 27
Epileptic seizure focus detection from interictal electroencephalogram: a survey
Md. Rabiul Islam, Xuyang Zhao, Yao Miao, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 1, pp. 1-23
Open Access | Times Cited: 19
Machine Learning for Precision Epilepsy Surgery
Lara Jehi
Epiliepsy currents/Epilepsy currents (2023) Vol. 23, Iss. 2, pp. 78-83
Open Access | Times Cited: 11
Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems
Saleh Baghersalimi, Tomás Teijeiro, Amir Aminifar, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 5, pp. 6392-6407
Open Access | Times Cited: 11
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
Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification
Sebamai Parija, Ranjeeta Bisoi, P.K. Dash, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 105, pp. 104426-104426
Closed Access | Times Cited: 24
Classification of the Epileptic Seizure Onset Zone Based on Partial Annotation
Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 3, pp. 703-713
Open Access | Times Cited: 16
Exploring the potential of pretrained CNNs and time-frequency methods for accurate epileptic EEG classification: a comparative study
Mudasir Jamil, Muhammad Zulkifal Aziz, Xiaojun Yu
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 4, pp. 045023-045023
Closed Access | Times Cited: 3
Decoding Intracranial EEG With Machine Learning: A Systematic Review
Nykan Mirchi, Nebras M. Warsi, Frederick Zhang, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 14
On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps
Arjun Vinayak Chikkankod, Luca Longo
Machine Learning and Knowledge Extraction (2022) Vol. 4, Iss. 4, pp. 1042-1064
Open Access | Times Cited: 13
The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach
Mattia Mercier, Chiara Pepi, Giusy Carfì Pavia, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Discovering hidden information in biosignals from patients using artificial intelligence
Dukyong Yoon, Jong-Hwan Jang, Byungjin Choi, et al.
Korean journal of anesthesiology (2020) Vol. 73, Iss. 4, pp. 275-284
Open Access | Times Cited: 20
An efficient epileptic seizure detection based on tunable Q-wavelet transform and DCVAE-stacked Bi-LSTM model using electroencephalogram
S. Sivasaravana Babu, V. S. Prabhu, V. Parthasarathy, et al.
The European Physical Journal Special Topics (2021) Vol. 231, Iss. 11-12, pp. 2425-2437
Closed Access | Times Cited: 15
Tree based Ensemble for Enhanced Prediction (TEEP) of epileptic seizures
A. Anandaraj, P. J. A. Alphonse
Intelligent Data Analysis (2022) Vol. 26, Iss. 1, pp. 133-151
Closed Access | Times Cited: 10
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