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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:

EEG seizure detection and prediction algorithms: a survey
Turkey N. Alotaiby, Saleh A. Alshebeili, Tariq Alshawi, et al.
EURASIP Journal on Advances in Signal Processing (2014) Vol. 2014, Iss. 1
Open Access | Times Cited: 260

Showing 1-25 of 260 citing articles:

A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals
Κostas Μ. Tsiouris, Vasileios C. Pezoulas, Michalis Zervakis, et al.
Computers in Biology and Medicine (2018) Vol. 99, pp. 24-37
Closed Access | Times Cited: 512
The Temple University Hospital EEG Data Corpus
Iyad Obeid, J. Picone
Frontiers in Neuroscience (2016) Vol. 10
Open Access | Times Cited: 360
Mental health monitoring with multimodal sensing and machine learning: A survey
Enrique Garcia-Ceja, Michael A. Riegler, Tine Nordgreen, et al.
Pervasive and Mobile Computing (2018) Vol. 51, pp. 1-26
Open Access | Times Cited: 295
A Multi-View Deep Learning Framework for EEG Seizure Detection
Ye Yuan, Guangxu Xun, Kebin Jia, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 1, pp. 83-94
Closed Access | Times Cited: 215
Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis
Siuly Siuly, Yanchun Zhang
Data Science and Engineering (2016) Vol. 1, Iss. 2, pp. 54-64
Open Access | Times Cited: 184
A deep convolutional neural network model for automated identification of abnormal EEG signals
Özal Yıldırım, Ulaş Baran Baloğlu, U. Rajendra Acharya
Neural Computing and Applications (2018) Vol. 32, Iss. 20, pp. 15857-15868
Closed Access | Times Cited: 180
A hybrid deep neural network for classification of schizophrenia using EEG Data
Jie Sun, Rui Cao, Mengni Zhou, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 126
Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches
Milind Natu, Mrinal Bachute, Shilpa Gite, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 70
EEG seizure detection: concepts, techniques, challenges, and future trends
Athar A. Ein Shoka, Mohamed M. Dessouky, Ayman El‐Sayed, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 42021-42051
Open Access | Times Cited: 51
Epileptic Seizure Prediction Using CSP and LDA for Scalp EEG Signals
Turky N. Alotaiby, Saleh A. Alshebeili, Faisal M. Alotaibi, et al.
Computational Intelligence and Neuroscience (2017) Vol. 2017, pp. 1-11
Open Access | Times Cited: 136
Time–frequency localized three-band biorthogonal wavelet filter bank using semidefinite relaxation and nonlinear least squares with epileptic seizure EEG signal classification
Dinesh Bhati, Manish Sharma, Ram Bilas Pachori, et al.
Digital Signal Processing (2016) Vol. 62, pp. 259-273
Closed Access | Times Cited: 125
Time-Frequency Domain Deep Convolutional Neural Network for the Classification of Focal and Non-Focal EEG Signals
Srirangan Madhavan, Rajesh Kumar Tripathy, Ram Bilas Pachori
IEEE Sensors Journal (2019) Vol. 20, Iss. 6, pp. 3078-3086
Closed Access | Times Cited: 107
Reinforcement Learning in Healthcare: A Survey
Chao Yu, Jiming Liu, Shamim Nemati
arXiv (Cornell University) (2019)
Open Access | Times Cited: 104
Various epileptic seizure detection techniques using biomedical signals: a review
Yash Paul
Brain Informatics (2018) Vol. 5, Iss. 2
Open Access | Times Cited: 103
A Multi-view Deep Learning Method for Epileptic Seizure Detection using Short-time Fourier Transform
Ye Yuan, Guangxu Xun, Kebin Jia, et al.
(2017), pp. 213-222
Closed Access | Times Cited: 100
Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures
Meysam Golmohammadi, Amir Hossein Harati Nejad Torbati, Silvia Lopez de Diego, et al.
Frontiers in Human Neuroscience (2019) Vol. 13
Open Access | Times Cited: 89
SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification
Umar Asif, Subhrajit Roy, Jianbin Tang, et al.
Lecture notes in computer science (2020), pp. 77-87
Closed Access | Times Cited: 81
Epileptic Seizure Prediction With Multi-View Convolutional Neural Networks
Chien‐Liang Liu, Bin Xiao, Wen-Hoar Hsaio, et al.
IEEE Access (2019) Vol. 7, pp. 170352-170361
Open Access | Times Cited: 80
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
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
Hezam Albaqami, Ghulam Mubashar Hassan, Abdülhamit Subaşı, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102957-102957
Open Access | Times Cited: 68
Epileptic Seizure Prediction Using Deep Transformer Model
Abhijeet Bhattacharya, Tanmay Baweja, Sri Phani Krishna Karri
International Journal of Neural Systems (2021) Vol. 32, Iss. 02
Closed Access | Times Cited: 60
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
Ensemble Approach for Detection of Depression Using EEG Features
Egils Avots, Klāvs Jermakovs, Maie Bachmann, et al.
Entropy (2022) Vol. 24, Iss. 2, pp. 211-211
Open Access | Times Cited: 44
Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
Resmi Cherian, E. Grace Mary Kanaga
Journal of Neuroscience Methods (2022) Vol. 369, pp. 109483-109483
Closed Access | Times Cited: 38
Power spectral density-based resting-state EEG classification of first-episode psychosis
Sadi Md. Redwan, Md Palash Uddin, Anwaar Ulhaq, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
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