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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:

A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG
Rajamanickam Yuvaraj, John Thomas, Tilmann Kluge, et al.
2018 52nd Asilomar Conference on Signals, Systems, and Computers (2018), pp. 368-372
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Deep learning for motor imagery EEG-based classification: A review
Ali Al-Saegh, Shefa A. Dawwd, Jassim M. Abdul-Jabbar
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102172-102172
Closed Access | Times Cited: 311
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5780-5780
Open Access | Times Cited: 300
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
One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG
Xiaoshuang Wang, Xiulin Wang, Wenya Liu, et al.
Neurocomputing (2021) Vol. 459, pp. 212-222
Open Access | Times Cited: 85
A Recent Investigation on Detection and Classification of Epileptic Seizure Techniques Using EEG Signal
Sani Saminu, Guizhi Xu, Shuai Zhang, et al.
Brain Sciences (2021) Vol. 11, Iss. 5, pp. 668-668
Open Access | Times Cited: 64
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
Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques
Rekha Sahu, Satya Ranjan Dash, Lleuvelyn A Cacha, et al.
Journal of Integrative Neuroscience (2020) Vol. 19, Iss. 1
Open Access | Times Cited: 39
An automated classification of EEG signals based on spectrogram and CNN for epilepsy diagnosis
Badreddine Mandhouj, Mohamed Ali Cherni, Mounir Sayadi
Analog Integrated Circuits and Signal Processing (2021) Vol. 108, Iss. 1, pp. 101-110
Closed Access | Times Cited: 38
Epileptic Patient Activity Recognition System Using Extreme Learning Machine Method
Ummara Ayman, M. Sultan Zia, Ofonime Dominic Okon, et al.
Biomedicines (2023) Vol. 11, Iss. 3, pp. 816-816
Open Access | Times Cited: 15
Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach
Rishabh Bajpai, Rajamanickam Yuvaraj, A. Amalin Prince
Computers in Biology and Medicine (2021) Vol. 133, pp. 104434-104434
Closed Access | Times Cited: 30
Deep‐learning‐based seizure detection and prediction from electroencephalography signals
Fatma E. Ibrahim, Heba M. Emara, Walid El‐Shafai, et al.
International Journal for Numerical Methods in Biomedical Engineering (2022) Vol. 38, Iss. 6
Closed Access | Times Cited: 19
Diagnosis of Epileptic Seizures from electroencephalogram Signals using Log-Mel Spectrogram and a deep Learning CNN Model
Beaudelaire Saha Tchinda, Daniel Tchiotsop, Laurent Chanel Djoufack Nkengfack, et al.
Heliyon (2025), pp. e42993-e42993
Open Access
Epileptic seizure detection using deep learning techniques: A Review
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 29
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 25
A Comparative Study on EEG Features for Neonatal Seizure Detection
S. Abirami, John Thomas, Rajamanickam Yuvaraj, et al.
Springer eBooks (2022), pp. 43-64
Closed Access | Times Cited: 15
Surface EEG based epileptic seizure detection using wavelet based features and dynamic mode decomposition power along with KNN classifier
Deba Prasad Dash, Maheshkumar H. Kolekar, Kamlesh Jha
Multimedia Tools and Applications (2021) Vol. 81, Iss. 29, pp. 42057-42077
Closed Access | Times Cited: 13
The Power of ECG in Semi-Automated Seizure Detection in Addition to Two-Channel behind-the-Ear EEG
Miguel Bhagubai, Kaat Vandecasteele, Lauren Swinnen, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 491-491
Open Access | Times Cited: 5
Epileptic Seizure Detection Using Geometric Features Extracted from SODP Shape of EEG Signals and AsyLnCPSO-GA
Ruofan Wang, Haodong Wang, Lianshuan Shi, et al.
Entropy (2022) Vol. 24, Iss. 11, pp. 1540-1540
Open Access | Times Cited: 7
Wearable Real-Time Epileptic Seizure Detection and Warning System
Muhammad E. H. Chowdhury, Amith Khandakar, Khawla Alzoubi, et al.
Springer eBooks (2022), pp. 233-265
Closed Access | Times Cited: 5
Seizure onset detection based on detection of changes in brain activity quantified by evolutionary game theory model
Ramtin Hamavar, Babak Mohammadzadeh Asl
Computer Methods and Programs in Biomedicine (2020) Vol. 199, pp. 105899-105899
Closed Access | Times Cited: 5
A deep learning network with minimal set of features for classification of ictal, interictal, and preictal EEG states
Abdul Quaiyum Ansari, Priyanka Sharma, Manjari Tripathi
2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) (2020), pp. 259-263
Closed Access | Times Cited: 3
Computational Approaches for Diagnosis and Monitoring of Epilepsy from Scalp EEG
Rajamanickam Yuvaraj, John Thomas, Elham Bagheri, et al.
Handbook of Neuroengineering (2023), pp. 3265-3295
Closed Access | Times Cited: 1
A Multi-view Representation Learning Approach for Seizure Detection Over Multi-channel EEG Signals
Shubham Chandra Joshi, Gopal Chandra Jana, Anupam Agrawal
Smart innovation, systems and technologies (2023), pp. 375-385
Closed Access | Times Cited: 1
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