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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 TQWT and ensemble learning
Navid Ghassemi, Afshin Shoeibi, Modjtaba Rouhani, et al.
(2019), pp. 403-408
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

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: 306
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104949-104949
Closed Access | Times Cited: 219
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105554-105554
Open Access | Times Cited: 128
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103417-103417
Open Access | Times Cited: 121
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, et al.
Annals of Operations Research (2021) Vol. 339, Iss. 3, pp. 1077-1118
Open Access | Times Cited: 105
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 56
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 135
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals
Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, et al.
Expert Systems with Applications (2020) Vol. 163, pp. 113788-113788
Closed Access | Times Cited: 131
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: 60
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 6, pp. 1501-1523
Open Access | Times Cited: 60
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Closed Access | Times Cited: 31
Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review
Yogesh H. Bhosale, K. Sridhar Patnaik
Multimedia Tools and Applications (2023) Vol. 82, Iss. 25, pp. 39157-39210
Open Access | Times Cited: 17
Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method
Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, et al.
Big Data and Cognitive Computing (2021) Vol. 5, Iss. 4, pp. 78-78
Open Access | Times Cited: 41
Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems
Ali Akbar Kekha Javan, Mahboobeh Jafari, Afshin Shoeibi, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3925-3925
Open Access | Times Cited: 34
Technological Advancements and Elucidation Gadgets for Healthcare Applications: An Exhaustive Methodological Review-Part-I (AI, Big Data, Block Chain, Open-Source Technologies, and Cloud Computing)
Sridhar Siripurapu, Naresh K. Darimireddy, Abdellah Chehri, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 750-750
Open Access | Times Cited: 13
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
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 24
Comparative classification techniques for identification of brain states using TQWT decomposition
Rahul Agrawal, Preeti Bajaj
Journal of Intelligent & Fuzzy Systems (2021) Vol. 41, Iss. 5, pp. 5287-5297
Closed Access | Times Cited: 18
A Study on Seizure Detection of EEG Signals Represented in 2D
Zhiwen Xiong, Huibin Wang, Lili Zhang, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5145-5145
Open Access | Times Cited: 17
Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression: Simplifying Complex T2F Calculations
Assef Zare, Afshin Shoeibi, Narges Shafaei Bajestani, et al.
IEEE Systems Man and Cybernetics Magazine (2022) Vol. 8, Iss. 3, pp. 51-60
Closed Access | Times Cited: 12
Review of EEG Signals Classification Using Machine Learning and Deep-Learning Techniques
Fatima Hassan, Syed Fawad Hussain
Springer eBooks (2023), pp. 159-183
Closed Access | Times Cited: 5
A Review on EEG based Epileptic Seizures Detection using Deep Learning Techniques
Srikanth Cherukuvada, R. Kayalvizhi
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2022), pp. 966-973
Closed Access | Times Cited: 9
Deep Learning of Simultaneous Intracranial and Scalp EEG for Prediction, Detection, and Lateralization of Mesial Temporal Lobe Seizures
Zan Li, Madeline Fields, Fedor Panov, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 10
An EEG-Based Seizure Recognition Method Using Dynamic Routing
Zhiwen Xiong, Yang Liu, Peng Jiang
IEEE Access (2024) Vol. 12, pp. 74054-74068
Closed Access | Times Cited: 1
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
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