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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 recognition of preictal and interictal EEG signals using 1D-capsule networks
Suat Toraman
Computers & Electrical Engineering (2021) Vol. 91, pp. 107033-107033
Closed Access | Times Cited: 21

Showing 21 citing articles:

EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning
Zhiwei Deng, Chang Li, Rencheng Song, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106401-106401
Closed Access | Times Cited: 23
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure
Sergio Alejandro Holguin-García, Ernesto Guevara-Navarro, Alvaro Eduardo Daza-Chica, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Patient-Specific Seizure Prediction From Electroencephalogram Signal via Multichannel Feedback Capsule Network
Chang Li, Yuchang Zhao, Rencheng Song, et al.
IEEE Transactions on Cognitive and Developmental Systems (2022) Vol. 15, Iss. 3, pp. 1360-1370
Closed Access | Times Cited: 20
Detection of Epileptic Seizures Based-on Channel Fusion and Transformer Network in EEG Recordings
José Yauri, Manuel Lagos, Hugo Vega-Huerta, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 11
Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review
Palak Handa, Lavanya Lavanya, Nidhi Goel, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 3
An Efficient Hybrid Model for Patient-Independent Seizure Prediction Using Deep Learning
Rowan Ihab Halawa, Sherin M. Youssef, Mazen Nabil Elagamy
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5516-5516
Open Access | Times Cited: 14
FL-CapsNet: facial localization augmented capsule network for human emotion recognition
Sivaiah Bellamkonda, N. P. Gopalan, C. Mala, et al.
Signal Image and Video Processing (2022) Vol. 17, Iss. 4, pp. 1705-1713
Closed Access | Times Cited: 12
A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets
Palak Handa, Esha Gupta, Syed Aneesha Muskan, et al.
Expert Systems (2023) Vol. 40, Iss. 9
Closed Access | Times Cited: 6
Capsule neural network based approach for subject specific and cross-subjects seizure detection from EEG signals
Gopal Chandra Jana, Keshav Swami, Anupam Agrawal
Multimedia Tools and Applications (2023) Vol. 82, Iss. 23, pp. 35221-35252
Closed Access | Times Cited: 4
MSSTNet: A multi-stream time-distributed spatio-temporal deep learning model to detect mind wandering from electroencephalogram signals
Subrata Pain, Subhrasankar Chatterjee, Monalisa Sarma, et al.
Computers & Electrical Engineering (2024) Vol. 122, pp. 110005-110005
Closed Access | Times Cited: 1
A novel approach for detection of consciousness level in comatose patients from EEG signals with 1-D convolutional neural network
Çiğdem Gülüzar Altıntop, Fatma Lati̇foğlu, Aynur Akın, et al.
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 16-26
Open Access | Times Cited: 9
One‐dimensional atrous conv‐net based architecture for automatic diagnosis of epilepsy using electroencephalography signals and its brain–computer interface applications
Palak Handa, Muskan Gupta, Esha Gupta, et al.
Expert Systems (2023) Vol. 41, Iss. 4
Closed Access | Times Cited: 3
Evolving Deep Learning Models for Epilepsy Diagnosis in Data Scarcity Context: A Survey
Raghdah Saem Aldahr, Munid Alanazi, Mohammad Ilyas
(2022), pp. 66-73
Closed Access | Times Cited: 3
Epileptic seizure prediction based on Convolutional neural networks and optimization techniques
Dineshkumar shanmugam, Viswanathan Nallasamy
Research Square (Research Square) (2024)
Open Access
A review of epilepsy detection and prediction methods based on EEG signal processing and deep learning
Xizhen Zhang, Xiaoli Zhang, Qiong Huang, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Lightweight Graph Triplet Capsule Networks (Lg-Tricapsnet) with Nearest Neighbour Graph (Nng) for Multi-Disease Neurological Classification
shraddha jain, prof. rajeev srivastava
(2024)
Closed Access
Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification
Ritesh Sur Chowdhury, Shirsha Bose, Sayantani Ghosh, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109260-109260
Closed Access
A Multi-scale Temporal Convolutional Capsule Network with Parameter-free Attention Module-Dynamic Routing for Intelligent Diagnosis of Rolling Bearing
Yulin Jin, Liang Hao, Xinghua He, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016151-016151
Closed Access
Prediction of Epileptic Seizures Via Machine Learning: A Brief Review, Current Methods, and Emerging Trends
Atakan Daşdemir, Humar Kahramanlı
(2023)
Closed Access
Comparative Study on Epilepsy Prediction Using Modern Techniques
Parvathy Lal B., K. S. Biju
(2023)
Closed Access
Introduction to the special section on Special Issue on Recent Advancements in Biomedical Engineering (VSI-bme)
Mohammad Reza Daliri, Saeid Sanei, Vahid Shalchyan
Computers & Electrical Engineering (2021) Vol. 92, pp. 107144-107144
Closed Access
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