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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.

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Showing 1-25 of 42 citing articles:

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
Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders
U. Raghavendra, U. Rajendra Acharya, Hojjat Adeli
European Neurology (2019) Vol. 82, Iss. 1-3, pp. 41-64
Open Access | Times Cited: 131
Diagnosing of disease using machine learning
Pushpa Singh, Narendra Singh, Krishna Kant Singh, et al.
Elsevier eBooks (2021), pp. 89-111
Closed Access | Times Cited: 92
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 efficient feature selection and explainable classification method for EEG-based epileptic seizure detection
Ijaz Ahmad, Yao Chen, Lin Li, et al.
Journal of Information Security and Applications (2023) Vol. 80, pp. 103654-103654
Closed Access | Times Cited: 24
A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals
Ijaz Ahmad, Mingxing Zhu, Guanglin Li, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3236-3247
Closed Access | Times Cited: 8
Remote tracking of Parkinson's Disease progression using ensembles of Deep Belief Network and Self-Organizing Map
Mehrbakhsh Nilashi, Hossein Ahmadi, Abbas Sheikhtaheri, et al.
Expert Systems with Applications (2020) Vol. 159, pp. 113562-113562
Closed Access | Times Cited: 62
An Effective of Ensemble Boosting Learning Method for Breast Cancer Virtual Screening Using Neural Network Model
Ahmed Hamza Osman, Hani Moaiteq Aljahdali
IEEE Access (2020) Vol. 8, pp. 39165-39174
Open Access | Times Cited: 58
Autonomous deep feature extraction based method for epileptic EEG brain seizure classification
Mitchell D. Woodbright, Brijesh Verma, Ali Haidar
Neurocomputing (2021) Vol. 444, pp. 30-37
Closed Access | Times Cited: 54
Robust Epileptic Seizure Detection Based on Biomedical Signals Using an Advanced Multi-View Deep Feature Learning Approach
Ijaz Ahmad, Zhenzhen Liu, Lin Li, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 5742-5754
Closed Access | Times Cited: 5
Patient-specific method of sleep electroencephalography using wavelet packet transform and Bi-LSTM for epileptic seizure prediction
Chenchen Cheng, Bo You, Yan Liu, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102963-102963
Closed Access | Times Cited: 31
A Comparative Analysis of Artificial Intelligence Optimization Algorithms for the Selection of Entropy-based Features in the Early Detection of Epileptic Seizures
Yusuf Bahri Özçelik, Aytaç Altan
2021 13th International Conference on Electrical and Electronics Engineering (ELECO) (2023)
Closed Access | Times Cited: 11
GM-CPSO: A New Viewpoint to Chaotic Particle Swarm Optimization via Gauss Map
Hasan Koyuncu
Neural Processing Letters (2020) Vol. 52, Iss. 1, pp. 241-266
Closed Access | Times Cited: 24
Coupling multifunction drones with AI in the fight against the coronavirus pandemic
Faris A. Almalki, Abdullah Alhumaidi Alotaibi, Marios C. Angelides
Computing (2021) Vol. 104, Iss. 5, pp. 1033-1059
Open Access | Times Cited: 22
Distributed data clustering over networks
Rosa Altilio, Paolo Di Lorenzo, Massimo Panella
Pattern Recognition (2019) Vol. 93, pp. 603-620
Closed Access | Times Cited: 24
Data Mining Framework to Analyze the Evolution of Computational Thinking Skills in Game Building Workshops
Alexandra A. de Souza, Thiago Barcelos, Roberto Muñoz, et al.
IEEE Access (2019) Vol. 7, pp. 82848-82866
Open Access | Times Cited: 23
Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach
Faris A. Almalki, Marios C. Angelides
Computing (2019) Vol. 102, Iss. 4, pp. 829-864
Open Access | Times Cited: 23
Deep Learning Algorithms in EEG Signal Decoding Application: A Review
Ramesh Babu Vallabhaneni, Pankaj Sharma, Vinit Kumar, et al.
IEEE Access (2021) Vol. 9, pp. 125778-125786
Open Access | Times Cited: 19
The Probability of Ischaemic Stroke Prediction with a Multi-Neural-Network Model
Yan Liu, Bo Yin, Yanping Cong
Sensors (2020) Vol. 20, Iss. 17, pp. 4995-4995
Open Access | Times Cited: 16
Performance Evaluation of Different Machine Learning Classification Algorithms for Disease Diagnosis
Munder Al-Hashem, Ali Mohammad Alqudah, Qasem Qananwah
International Journal of E-Health and Medical Communications (2021) Vol. 12, Iss. 6, pp. 1-28
Open Access | Times Cited: 14
Optimizing Seizure Prediction From Reduced Scalp EEG Channels Based on Spectral Features and MAML
Aníbal Romney, Vidya Manian
IEEE Access (2021) Vol. 9, pp. 164348-164357
Closed Access | Times Cited: 13
Investigating population-specific epilepsy detection from noisy EEG signals using deep-learning models
Torikul Islam, Monisha Basak, Redwanul Islam, et al.
Heliyon (2023) Vol. 9, Iss. 12, pp. e22208-e22208
Open Access | Times Cited: 5
HyEpiSeiD: a hybrid convolutional neural network and gated recurrent unit model for epileptic seizure detection from electroencephalogram signals
R K Bhadra, Pawan Kumar Singh, Mufti Mahmud
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Parkinson's disease detection from EEG signal employing autoencoder and RBFNN-based hybrid deep learning framework utilizing power spectral density
Ferdaus Anam Jibon, Alif Tasbir, Md. Alamin Talukder, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Adaptive Fault-Tolerant Sliding Mode Control for High-Speed Trains With Actuator Faults Under Strong Winds
Tong Zhang, Xiangyu Kong
IEEE Access (2020) Vol. 8, pp. 143902-143919
Open Access | Times Cited: 10
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