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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:

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

Showing 1-25 of 56 citing articles:

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: 126
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: 75
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, et al.
Frontiers in Molecular Neuroscience (2022) Vol. 15
Open Access | Times Cited: 74
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: 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
Deep Learning-Enhanced Portable Chemiluminescence Biosensor: 3D-Printed, Smartphone-Integrated Platform for Glucose Detection
Chirag M. Singhal, V. Kaushik, Amit K. Awasthi, et al.
Bioengineering (2025) Vol. 12, Iss. 2, pp. 119-119
Open Access | Times Cited: 1
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: 65
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
How deep learning is empowering semantic segmentation
Uroosa Sehar, Muhammad Luqman Naseem
Multimedia Tools and Applications (2022) Vol. 81, Iss. 21, pp. 30519-30544
Open Access | Times Cited: 29
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 35-79
Closed Access | Times Cited: 18
DSNN: A DenseNet-Based SNN for Explainable Brain Disease Classification
Ziquan Zhu, Siyuan Lu, Shuihua Wang‎, et al.
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 23
Breast Cancer Dataset, Classification and Detection Using Deep Learning
Muhammad Shahid Iqbal, Waqas Ahmad, Roohallah Alizadehsani, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2395-2395
Open Access | Times Cited: 22
Body composition predicts hypertension using machine learning methods: a cohort study
Mohammad Ali Nematollahi, Soodeh Jahangiri, Arefeh Asadollahi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
Identification of Clinical Features Associated with Mortality in COVID-19 Patients
Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, et al.
Operations Research Forum (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 12
Meta-Health: Learning-to-Learn (Meta-learning) as a Next Generation of Deep Learning Exploring Healthcare Challenges and Solutions for Rare Disorders: A Systematic Analysis
Kuljeet Singh, Deepti Malhotra
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4081-4112
Closed Access | Times Cited: 12
Advances and Challenges in Closed Loop Therapeutics: From Signal Selection to Optogenetic Techniques
Francisco Pedro
Journal of Biomedical and Sustainable Healthcare Applications (2024), pp. 73-83
Open Access | Times Cited: 4
Miniaturization of Epileptic Electrocorticogram Detector Using 3D-Convolutional Neural Network
Masamura Yamaji, Shinjiro Yamamasu, Yuto Hirano, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
Shorter latency of real-time epileptic seizure detection via probabilistic prediction
Yankun Xu, Jie Yang, Wenjie Ming, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121359-121359
Open Access | Times Cited: 11
Deep learning‐based seizure prediction using EEG signals: A comparative analysis of classification methods on the CHB‐MIT dataset
Ali Esmaeilpour, Shaghayegh Shahiri Tabarestani, Alireza Niazi
Engineering Reports (2024) Vol. 6, Iss. 11
Closed Access | Times Cited: 3
Single-channel seizure detection with clinical confirmation of seizure locations using CHB-MIT dataset
Yoon Gi Chung, Anna Cho, Hunmin Kim, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 3
DSCNN-LSTMs: A Lightweight and Efficient Model for Epilepsy Recognition
Zhentao Huang, Ya‐Hong Ma, Rongrong Wang, et al.
Brain Sciences (2022) Vol. 12, Iss. 12, pp. 1672-1672
Open Access | Times Cited: 14
Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT
Yifan Zhang, Zhuangzhuang Chen, Xuan Yang
Computers in Biology and Medicine (2024) Vol. 170, pp. 108088-108088
Closed Access | Times Cited: 2
Automatic Seizure Detection Using Multi-Input Deep Feature Learning Networks for EEG Signals
Qi Sun, Yuanjian Liu, Shuangde Li
Journal of Sensors (2024) Vol. 2024, pp. 1-15
Open Access | Times Cited: 2
Interfacing data science with cell therapy manufacturing: where we are and where we need to be
Bryan Wang, Rui Qi Chen, Jing Li, et al.
Cytotherapy (2024) Vol. 26, Iss. 9, pp. 967-979
Closed Access | Times Cited: 2
EEG power spectra parameterization and adaptive channel selection towards semi-supervised seizure prediction
Hanyi Li, Jiahui Liao, Hongxiao Wang, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108510-108510
Closed Access | Times Cited: 2
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