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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 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: 293

Showing 1-25 of 293 citing articles:

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: 211
Application of artificial intelligence in wearable devices: Opportunities and challenges
Darius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 213, pp. 106541-106541
Closed Access | Times Cited: 199
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104697-104697
Open Access | Times Cited: 139
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: 126
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 125
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: 115
Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health
Zhencheng Fan, Zheng Yan, Shiping Wen
Sustainability (2023) Vol. 15, Iss. 18, pp. 13493-13493
Open Access | Times Cited: 99
Emotion recognition in EEG signals using deep learning methods: A review
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107450-107450
Open Access | Times Cited: 74
A difference attention ResNet-LSTM network for epileptic seizure detection using EEG signal
Xuanjie Qiu, Fang Yan, Haihong Liu
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104652-104652
Closed Access | Times Cited: 54
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: 50
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 106998-106998
Open Access | Times Cited: 47
Status of deep learning for EEG-based brain–computer interface applications
Khondoker Murad Hossain, Md. Ariful Islam, Shahera Hossain, et al.
Frontiers in Computational Neuroscience (2023) Vol. 16
Open Access | Times Cited: 46
Deep Learning Models for Diagnosis of Schizophrenia Using EEG Signals: Emerging Trends, Challenges, and Prospects
Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 4, pp. 2345-2384
Closed Access | Times Cited: 16
Detection of epileptic seizure in EEG signals using machine learning and deep learning techniques
Pankaj Kunekar, Mukesh Kumar Gupta, Pramod Gaur
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 14
A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection
Xiaoshuai Cao, Shaojie Zheng, Jincan Zhang, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020)
Hui Wen Loh, Chui Ping Ooi, Jahmunah Vicnesh, et al.
Applied Sciences (2020) Vol. 10, Iss. 24, pp. 8963-8963
Open Access | Times Cited: 89
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Information Fusion (2022) Vol. 93, pp. 85-117
Closed Access | Times Cited: 64
A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders
Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 469-469
Open Access | Times Cited: 61
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: 57
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: 57
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
RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 55
A deep learning framework for epileptic seizure detection based on neonatal EEG signals
Artur Gramacki, J. Gramacki
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 49
CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering
Danial Sharifrazi, Roohallah Alizadehsani, Javad Hassannataj Joloudari, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 3, pp. 2381-2402
Open Access | Times Cited: 42
Seizure detection algorithm based on improved functional brain network structure feature extraction
Lurong Jiang, Jiawang He, Hangyi Pan, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104053-104053
Closed Access | Times Cited: 41
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