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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 robust unsupervised epileptic seizure detection methodology to accelerate large EEG database evaluation
Κostas Μ. Tsiouris, Sofia Markoula, Spiros Konitsiotis, et al.
Biomedical Signal Processing and Control (2017) Vol. 40, pp. 275-285
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Automated Epileptic Seizure Detection in Pediatric Subjects of CHB-MIT EEG Database—A Survey
J. Prasanna, M. S. P. Subathra, Mazin Abed Mohammed, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 10, pp. 1028-1028
Open Access | Times Cited: 70
Seizure Onset Detection Using Empirical Mode Decomposition and Common Spatial Pattern
Chaosong Li, Weidong Zhou, Guoyang Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 458-467
Closed Access | Times Cited: 66
Epileptic Seizure Detection by Cascading Isolation Forest-Based Anomaly Screening and EasyEnsemble
Yao Guo, Xinyu Jiang, Linkai Tao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 915-924
Open Access | Times Cited: 49
An improved GBSO-TAENN-based EEG signal classification model for epileptic seizure detection
M. V. V. Prasad Kantipudi, N. S. Pradeep Kumar, Rajanikanth Aluvalu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Automatic Epileptic Seizures Joint Detection Algorithm Based on Improved Multi-Domain Feature of cEEG and Spike Feature of aEEG
Duanpo Wu, Zimeng Wang, Lurong Jiang, et al.
IEEE Access (2019) Vol. 7, pp. 41551-41564
Open Access | Times Cited: 58
Exploring the Intrinsic Features of EEG Signals via Empirical Mode Decomposition for Depression Recognition
Jian Shen, Yanan Zhang, Huajian Liang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 356-365
Open Access | Times Cited: 35
Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis
Deba Prasad Dash, Maheshkumar H. Kolekar, Chinmay Chakraborty, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 23, Iss. 1, pp. 1-29
Open Access | Times Cited: 27
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: 15
Time domain implementation of pediatric epileptic seizure detection system for enhancing the performance of detection and easy monitoring of pediatric patients
Satarupa Chakrabarti, Aleena Swetapadma, Asish Ranjan, et al.
Biomedical Signal Processing and Control (2020) Vol. 59, pp. 101930-101930
Closed Access | Times Cited: 38
Automatic seizure detection and classification using super-resolution superlet transform and deep neural network -A preprocessing-less method
Prashant Mani Tripathi, Ashish Kumar, Manjeet Kumar, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107680-107680
Closed Access | Times Cited: 11
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
Unsupervised learning from EEG data for epilepsy: A systematic literature review
Alexandra-Maria Tăuƫan, Alexandra-Georgiana Andrei, Carmelo Smeralda, et al.
Artificial Intelligence in Medicine (2025) Vol. 162, pp. 103095-103095
Closed Access
Unsupervised detection of sub-sequence anomalies in epilepsy EEG
Theodoros Toliopoulos, Anastasios Gounaris, Nikolaos Laskaris
Computers in Biology and Medicine (2025) Vol. 192, pp. 110168-110168
Closed Access
The earth mover’s distance and Bayesian linear discriminant analysis for epileptic seizure detection in scalp EEG
Shasha Yuan, Jin‐Xing Liu, Junliang Shang, et al.
Biomedical Engineering Letters (2018) Vol. 8, Iss. 4, pp. 373-382
Open Access | Times Cited: 28
RETRACTED ARTICLE: Automatic epileptic seizure recognition using reliefF feature selection and long short term memory classifier
Hirald Dwaraka Praveena, C. Subhas, K. Rama Naidu
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 6, pp. 6151-6167
Closed Access | Times Cited: 25
Machine Learning-Based Epileptic Seizure Detection Methods Using Wavelet and EMD-Based Decomposition Techniques: A Review
Rabindra Gandhi Thangarajoo, Mamun Bin Ibne Reaz, Geetika Srivastava, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8485-8485
Open Access | Times Cited: 23
CONVOLUTIONAL LONG-SHORT TERM MEMORY NETWORKS MODEL FOR LONG DURATION EEG SIGNAL CLASSIFICATION
Ulaş Baran Baloğlu, Özal Yıldırım
Journal of Mechanics in Medicine and Biology (2019) Vol. 19, Iss. 01, pp. 1940005-1940005
Closed Access | Times Cited: 19
Study on characteristic of epileptic multi-electroencephalograph base on Hilbert-Huang transform and brain network dynamics
Xiaojie Lu, Tingting Wang, Mingquan Ye, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6
Inter-intra feature for the complementary convolutional neural network in the effective classification of epileptic seizures
T. Beula Bell, D. Latha, C. Jaspin Jeba Sheela
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 82699-82718
Closed Access | Times Cited: 2
Modeling and Analyzing Carbon Emission Market Volatility and Impact: Evidence from Guangdong Province, China
Kangye Tan, Yumeng Wu, Fang Xu, et al.
Systems (2024) Vol. 12, Iss. 11, pp. 458-458
Open Access | Times Cited: 2
A Self-Learning Methodology for Epileptic Seizure Detection with Minimally-Supervised Edge Labeling
Damián Pascual, Amir Aminifar, David Atienza
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015 (2019)
Open Access | Times Cited: 15
Epilepsy EEG classification method based on supervised locality preserving canonical correlation analysis
Hong-Ming Liu, Yunyuan Gao, Jianhai Zhang, et al.
Mathematical Biosciences & Engineering (2021) Vol. 19, Iss. 1, pp. 624-642
Open Access | Times Cited: 10
An In-Depth Examination of Machine Learning Approaches for Detecting Epileptic Seizures
Nusrat Fatma, Pawan Singh, Mohammad Khubeb Siddiqui
(2024), pp. 507-511
Closed Access | Times Cited: 1
Channel Selection-based Temporal Convolutional Network for Patient-specific Epileptic Seizure Detection
Guangming Wang, Xiyuan Lei, Wen Li, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 17, Iss. 1, pp. 179-188
Closed Access | Times Cited: 1
Unsupervised detection of epileptic seizures from EEG signals: A channel-specific analysis of long-term recordings
Κostas Μ. Tsiouris, Spiros Konitsiotis, Sofia Markoula, et al.
(2018), pp. 92-95
Closed Access | Times Cited: 10
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