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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:

Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques
Paul Fergus, David Hignett, Abir Hussain, et al.
BioMed Research International (2015) Vol. 2015, pp. 1-17
Open Access | Times Cited: 151

Showing 1-25 of 151 citing articles:

Artificial Intelligence in Healthcare: Review and Prediction Case Studies
Guoguang Rong, Arnaldo Mendez, Elie Bou Assi, et al.
Engineering (2020) Vol. 6, Iss. 3, pp. 291-301
Open Access | Times Cited: 423
Real-Time Epileptic Seizure Detection Using EEG
Lasitha Vidyaratne, Khan M. Iftekharuddin
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2017) Vol. 25, Iss. 11, pp. 2146-2156
Closed Access | Times Cited: 203
Epileptic Seizures Prediction Using Deep Learning Techniques
Syed Muhammad Usman, Shehzad Khalid, Muhammad Haseeb Aslam
IEEE Access (2020) Vol. 8, pp. 39998-40007
Open Access | Times Cited: 166
Classification of epileptic EEG recordings using signal transforms and convolutional neural networks
Rubén San-Segundo, Manuel Gil-Martín, Luis Fernando D’Haro, et al.
Computers in Biology and Medicine (2019) Vol. 109, pp. 148-158
Open Access | Times Cited: 152
Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, et al.
Brain Sciences (2021) Vol. 11, Iss. 11, pp. 1525-1525
Open Access | Times Cited: 131
Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals
Asghar Zarei, Babak Mohammadzadeh Asl
Computers in Biology and Medicine (2021) Vol. 131, pp. 104250-104250
Closed Access | Times Cited: 109
Applications of Artificial Intelligence in Ophthalmology: General Overview
Wei Lü, Yan Tong, Yue Yu, et al.
Journal of Ophthalmology (2018) Vol. 2018, pp. 1-15
Open Access | Times Cited: 125
Technology Use for Adolescent Health and Wellness
Ana Radović, Sherif M. Badawy
PEDIATRICS (2020) Vol. 145, Iss. Supplement_2, pp. S186-S194
Open Access | Times Cited: 103
Epileptic seizure detection in long-term EEG records using sparse rational decomposition and local Gabor binary patterns feature extraction
Kaveh Samiee, Péter Kovács, Moncef Gabbouj
Knowledge-Based Systems (2016) Vol. 118, pp. 228-240
Closed Access | Times Cited: 102
Time-domain exponential energy for epileptic EEG signal classification
O. K. Fasil, R. Rajesh
Neuroscience Letters (2018) Vol. 694, pp. 1-8
Closed Access | Times Cited: 96
Dynamic Mode Decomposition Based Epileptic Seizure Detection from Scalp EEG
Muhammad Sohaib J. Solaija, Sajid Saleem, Khawar Khurshid, et al.
IEEE Access (2018) Vol. 6, pp. 38683-38692
Open Access | Times Cited: 83
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
Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review
Maokun Li, Rui Guo, Ke Zhang, et al.
IEEE Antennas and Propagation Magazine (2021) Vol. 63, Iss. 3, pp. 39-51
Closed Access | Times Cited: 62
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
Deep-EEG: An Optimized and Robust Framework and Method for EEG-Based Diagnosis of Epileptic Seizure
Waseem Ahmad Mir, Mohd Anjum, Izharuddin Izharuddin, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 773-773
Open Access | Times Cited: 37
EEG datasets for seizure detection and prediction— A review
Sheng Wong, Anj Simmons, Jessica Rivera‐Villicana, et al.
Epilepsia Open (2023) Vol. 8, Iss. 2, pp. 252-267
Open Access | Times Cited: 36
Artificial neural network detects human uncertainty
Alexander E. Hramov, Nikita Frolov, Vladimir Maksimenko, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2018) Vol. 28, Iss. 3
Closed Access | Times Cited: 72
Automatic Epileptic Seizure Detection in EEG Using Nonsubsampled Wavelet–Fourier Features
Guangyi Chen, Wenfang Xie, Tien D. Bui, et al.
Journal of Medical and Biological Engineering (2017) Vol. 37, Iss. 1, pp. 123-131
Closed Access | Times Cited: 68
Real-time Inference and Detection of Disruptive EEG Networks for Epileptic Seizures
Walter Bomela, Shuo Wang, Chun-An Chou, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 57
Classification of epileptic seizure dataset using different machine learning algorithms
Khaled Mohamad Almustafa
Informatics in Medicine Unlocked (2020) Vol. 21, pp. 100444-100444
Open Access | Times Cited: 56
Selection of features for patient-independent detection of seizure events using scalp EEG signals
Shuhan Yang, Bo Li, Yinda Zhang, et al.
Computers in Biology and Medicine (2020) Vol. 119, pp. 103671-103671
Closed Access | Times Cited: 54
Graph-generative neural network for EEG-based epileptic seizure detection via discovery of dynamic brain functional connectivity
Zhengdao Li, Kai Hwang, Keqin Li, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 28
CNN-based classification of epileptic states for seizure prediction using combined temporal and spectral features
Ines Assali, Ahmed Ghazi Blaiech, Asma Ben Abdallah, et al.
Biomedical Signal Processing and Control (2022) Vol. 82, pp. 104519-104519
Closed Access | Times Cited: 28
Classifying electroencephalogram signals using an innovative and effective machine learning method based on chaotic elephant herding optimum
Ali Alqahtani, Nayef Alqahtani, Abdulaziz A. Alsulami, et al.
Expert Systems (2023)
Closed Access | Times Cited: 21
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