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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 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: 14

Showing 14 citing articles:

Identifying Neurological Disorders using Deep Learning with Biomedical Imaging Techniques
Kingshuk Das Bakshi, Sonia Rani, S. Ramya, et al.
SSRN Electronic Journal (2025)
Closed Access
GEM-CRAP: a fusion architecture for focal seizure detection
Jianwei Shi, Yuanyuan Zhang, Ziang Song, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Effective Detection of Epileptic Seizures through EEG Signals Using Deep Learning Approaches
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 4, pp. 1937-1952
Open Access | Times Cited: 7
The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach
Mattia Mercier, Chiara Pepi, Giusy Carfì Pavia, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Deep Learning Approaches for Epileptic Seizures Recognition based on EEG Signal
Sakorn Mekruksavanich, Anuchit Jitpattanakul
(2023), pp. 33-36
Closed Access | Times Cited: 5
Machine Learning for Epilepsy: A Comprehensive Exploration of Novel EEG and MRI Techniques for Seizure Diagnosis
Naily Rehab, Yahia Siwar, Mourad Zaied
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 3, pp. 317-336
Closed Access | Times Cited: 1
Deep extreme learning machine with knowledge augmentation for EEG seizure signal recognition
Xiongtao Zhang, Shuai Dong, Qing Shen, et al.
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access | Times Cited: 2
Novel Statistical Regularized Extreme Learning Algorithm to Address the Multicollinearity in Machine Learning
Hasan Yıldırım
IEEE Access (2024) Vol. 12, pp. 102355-102367
Open Access
A rhythmic encoding approach based on EEG time-frequency image for epileptic seizure detection
Jiawen Li, Guan Yuan Feng, Ju Jian Lv, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106824-106824
Closed Access
Prediction of Epileptic Seizures by Machine Learning and Deep Learning Techniques Using sEEG Signals: Review
Chitirala Sravanthi, B. Santhosh Kumar
Lecture notes in electrical engineering (2024), pp. 919-929
Closed Access
Combined LinkNet‐MBi‐LSTM for brain activity recognition with new Stockwell transform features
Amruta Jagadish Takawale, A. N. Paithane
International Journal of Developmental Neuroscience (2024)
Closed Access
Epileptic EEG patterns recognition through machine learning techniques and relevant time–frequency features
Sahbi Chaibi, Chahira Mahjoub, Wadhah Ayadi, et al.
Biomedical Engineering / Biomedizinische Technik (2023) Vol. 69, Iss. 2, pp. 111-123
Open Access | Times Cited: 1
Internet of Medical Things (IoMT) for Premature Estimate of Epileptic Seizures
Ali Amer Ahmed Alrawi, Yousif Al Mashhadany, Mushtaq Najeeb, et al.
2021 14th International Conference on Developments in eSystems Engineering (DeSE) (2023), pp. 350-355
Closed Access | Times Cited: 1
The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach.
Mattia Mercier, Chiara Pepi, Giusy Carfì Pavia, et al.
Research Square (Research Square) (2023)
Open Access
Enhanced Epileptic Seizure Identification using Sparse ELM-ABO Fusion with Feature Reduction and Multi-class Classification
D. Saranya, A. Bharathi
Journal of Intelligent & Fuzzy Systems (2023) Vol. 46, Iss. 1, pp. 1567-1582
Closed Access
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