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:
Automated Seizure Classification Using Deep Neural Network Based on Autoencoder
Rahul Sharma, Pradip Sircar, Ram Bilas Pachori
Advances in healthcare information systems and administration book series (2020), pp. 1-19
Closed Access | Times Cited: 7
Rahul Sharma, Pradip Sircar, Ram Bilas Pachori
Advances in healthcare information systems and administration book series (2020), pp. 1-19
Closed Access | Times Cited: 7
Showing 7 citing articles:
Detection of Focal and Non-focal Epileptic Seizure Using Continuous Wavelet Transform-Based Scalogram Images and Pre-trained Deep Neural Networks
Ali Narin
IRBM (2020) Vol. 43, Iss. 1, pp. 22-31
Closed Access | Times Cited: 57
Ali Narin
IRBM (2020) Vol. 43, Iss. 1, pp. 22-31
Closed Access | Times Cited: 57
EEG Sinyallerini Kullanarak 2D Konvolüsyonel Sinir Ağları ile Epilepsi Hastalığının Çok Sınıflı Tespiti
Yiğithan Geniş, Eda Akman Aydın
Journal of Polytechnic (2025), pp. 1-1
Open Access
Yiğithan Geniş, Eda Akman Aydın
Journal of Polytechnic (2025), pp. 1-1
Open Access
SeizSClas: An Efficient and Secure Internet-of-Things-Based EEG Classifier
Rishav Singh, Tanveer Ahmed, Amit Kumar Singh, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 8, pp. 6214-6221
Closed Access | Times Cited: 28
Rishav Singh, Tanveer Ahmed, Amit Kumar Singh, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 8, pp. 6214-6221
Closed Access | Times Cited: 28
Detection of epileptic seizures from compressively sensed EEG signals for wireless body area networks
Mohammad H. Aghababaei, Ghasem Azemi, John M. O’Toole
Expert Systems with Applications (2021) Vol. 172, pp. 114630-114630
Open Access | Times Cited: 23
Mohammad H. Aghababaei, Ghasem Azemi, John M. O’Toole
Expert Systems with Applications (2021) Vol. 172, pp. 114630-114630
Open Access | Times Cited: 23
Classifying Multi-Level Stress Responses From Brain Cortical EEG in Nurses and Non-Health Professionals Using Machine Learning Auto Encoder
Ashlesha Akella, Avinash Kumar Singh, Daniel J. Leong, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2021) Vol. 9, pp. 1-9
Open Access | Times Cited: 19
Ashlesha Akella, Avinash Kumar Singh, Daniel J. Leong, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2021) Vol. 9, pp. 1-9
Open Access | Times Cited: 19
Performance investigation of epilepsy detection from noisy EEG signals using base-2-meta stacking classifier
Torikul Islam, Redwanul Islam, Monisha Basak, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Torikul Islam, Redwanul Islam, Monisha Basak, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Intelligent Management Framework For Internet Multimedia Resources Based on Deep Neural Network and Web Crawlers
Huizi Li, Chao Zhang
Journal of Circuits Systems and Computers (2024)
Closed Access
Huizi Li, Chao Zhang
Journal of Circuits Systems and Computers (2024)
Closed Access
Prediction of hippocampal electric field in time series induced by TI-DMS with temporal convolutional network
Xiangyang Xu, Bin Deng, Jiang Wang, et al.
Cognitive Neurodynamics (2024) Vol. 18, Iss. 4, pp. 2031-2045
Closed Access
Xiangyang Xu, Bin Deng, Jiang Wang, et al.
Cognitive Neurodynamics (2024) Vol. 18, Iss. 4, pp. 2031-2045
Closed Access
