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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:

Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features
Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7710-7710
Open Access | Times Cited: 57

Showing 26-50 of 57 citing articles:

Health care intelligent system: A neural network based method for early diagnosis of Alzheimer's disease using MRI images
Ahed Abugabah, Atif Mehmood, Sultan Almotairi, et al.
Expert Systems (2022) Vol. 39, Iss. 9
Closed Access | Times Cited: 8
Identifying epileptic EEGs and congestive heart failure ECGs under unified framework of wavelet scattering transform, bidirectional weighted (2D)2PCA and KELM
Tao Zhang, Wanzhong Chen, Xiaojuan Chen
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 1, pp. 279-297
Closed Access | Times Cited: 4
Engineering nonlinear epileptic biomarkers using deep learning and Benford’s law
Joseph Caffarini, Klevest Gjini, Brinda Sevak, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 7
Leveraging Multiple Distinct EEG Training Sessions for Improvement of Spectral-Based Biometric Verification Results
Renata Plucińska, Konrad Jędrzejewski, Urszula Malinowska, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2057-2057
Open Access | Times Cited: 3
Detecting epileptic seizures using hand-crafted and automatically constructed EEG features
Arne De Brabandere, Christos Chatzichristos, Wim Van Paesschen, et al.
IEEE Transactions on Biomedical Engineering (2023), pp. 1-10
Open Access | Times Cited: 3
Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism
Jie Xu, Juan Wang, Jin‐Xing Liu, et al.
Lecture notes in computer science (2023), pp. 308-319
Closed Access | Times Cited: 3
Improved Artificial Bee Colony Based Feature Selection for Epileptic Seizure Detection
Hirald Dwaraka Praveena, C. Subhas, Kurukundu Rama
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 3, pp. 332-344
Open Access | Times Cited: 2
Brain–Computer Interface: The HOL–SSA Decomposition and Two-Phase Classification on the HGD EEG Data
Mary Judith Antony, Baghavathi Priya Sankaralingam, Shakir Khan, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2852-2852
Open Access | Times Cited: 2
Impact of EEG Frequency Bands and Data Separation on the Performance of Person Verification Employing Neural Networks
Renata Plucińska, Konrad Jędrzejewski, Marek Waligóra, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5529-5529
Open Access | Times Cited: 4
A Hybrid Model for Epileptic Seizure Prediction Using EEG Data
P S Tejashwini, L R Sahana, J Thriveni, et al.
Communications in computer and information science (2024), pp. 264-274
Closed Access
Epileptic Seizure Prediction on EEG Data using a Firefly Algorithm trained with Deep Neural Networks
P. Anandan, N. Anbuselvan
(2024), pp. 1-5
Closed Access
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging
Mehak Mengi, Deepti Malhotra
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106337-106337
Closed Access
Feature Fusion for Epileptic Seizure Detection from EEG Data: A CNN- Based Approach with High Precision
B. Kavya, S N Prasad
Research Square (Research Square) (2024)
Open Access
African Vultures Based Feature Selection with Multi-modal Deep Learning for Automatic Seizure Prediction
Mounika Nallur, Mulagala Sandhya, Zabiha Khan, et al.
(2024), pp. 1-7
Closed Access
Utilizing Eeg Signals for Epilepsy Seizure Detection
Hana.Ghait. Alfughi, Ali H. Maamar, Asmaa Nasr Mohammed
(2024), pp. 619-624
Closed Access
Time series data-based classification using combined 1D- CNN-GRU for Seizure detection and prediction
Chekhmane Ghezala, R. Benali
Research Square (Research Square) (2024)
Closed Access
Diagnosing epileptic seizures using combined features from independent components and prediction probability from EEG data
Madiha Khalid, Ali Raza, Adnan Akhtar, et al.
Digital Health (2024) Vol. 10
Open Access
Deep Learning Based Detection of Silicosis from Computed Tomography Images
Hamit Aksoy, Ümit Atila, Sertaç Arslan
Computer Methods and Programs in Biomedicine Update (2024) Vol. 6, pp. 100166-100166
Open Access
The Importance of Rhythm Activity in Epilepsy EEG Signal Classification (An Educational Article)
Negin Melek
Sakarya University Journal of Computer and Information Sciences (2024) Vol. 7, Iss. 2, pp. 138-155
Open Access
A Pathological Diagnosis Method for FUO based on Multi-Path Hierarchical Classification: Model Design and Validation (Preprint)
Jianchao Du, Junyao Ding, Yuan Wu, et al.
JMIR Formative Research (2024) Vol. 8, pp. e58423-e58423
Open Access
IoT enabled smart healthcare system for COVID-19 classification using optimized robust spatiotemporal graph convolutional networks
A. Velayudham, R. Karthick, A. Sivabalan, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107104-107104
Closed Access
Navigating the genomic landscape: A deep dive into clinical genetics with deep learning
Manmeet Kaur, Vandana Singh, Arshiya Khan, et al.
Elsevier eBooks (2024), pp. 185-224
Closed Access
Modified Gorilla Troops Optimization with Deep Learning Based Epileptic Seizure Prediction Model on EEG Signals
Srikanth Cherukuvada, R. Kayalvizhi
Traitement du signal (2023) Vol. 40, Iss. 2, pp. 589-599
Open Access | Times Cited: 1
Seizure Classification Based on EEG Signal Analysis and CNN-Transformers Model
Duc-Phu Do, Duc-Hung Le
(2023)
Closed Access | Times Cited: 1
EEG-based Seizure Detection Using Generative Model and Deep Learning
Zihan Dong, Zhou Sun
2022 E-Health and Bioengineering Conference (EHB) (2022) Vol. 20, pp. 1-4
Closed Access | Times Cited: 2

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