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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:

A deep convolutional neural network model for automated identification of abnormal EEG signals
Özal Yıldırım, Ulaş Baran Baloğlu, U. Rajendra Acharya
Neural Computing and Applications (2018) Vol. 32, Iss. 20, pp. 15857-15868
Closed Access | Times Cited: 180

Showing 1-25 of 180 citing articles:

Application of deep transfer learning for automated brain abnormality classification using MR images
Muhammed Talo, Ulaş Baran Baloğlu, Özal Yıldırım, et al.
Cognitive Systems Research (2018) Vol. 54, pp. 176-188
Closed Access | Times Cited: 456
Classification of myocardial infarction with multi-lead ECG signals and deep CNN
Ulaş Baran Baloğlu, Muhammed Talo, Özal Yıldırım, et al.
Pattern Recognition Letters (2019) Vol. 122, pp. 23-30
Closed Access | Times Cited: 396
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: 302
Deep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals
Shu Lih Oh, Jahmunah Vicnesh, Edward J. Ciaccio, et al.
Applied Sciences (2019) Vol. 9, Iss. 14, pp. 2870-2870
Open Access | Times Cited: 263
Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals
Betül Ay, Özal Yıldırım, Muhammed Talo, et al.
Journal of Medical Systems (2019) Vol. 43, Iss. 7
Closed Access | Times Cited: 238
RETRACTED ARTICLE: Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
Paweł Pławiak, U. Rajendra Acharya
Neural Computing and Applications (2019) Vol. 32, Iss. 15, pp. 11137-11161
Open Access | Times Cited: 229
A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals
Özal Yıldırım, Ulaş Baran Baloğlu, U. Rajendra Acharya
International Journal of Environmental Research and Public Health (2019) Vol. 16, Iss. 4, pp. 599-599
Open Access | Times Cited: 221
Automated detection of schizophrenia using nonlinear signal processing methods
Jahmunah Vicnesh, Shu Lih Oh, V. Rajinikanth, et al.
Artificial Intelligence in Medicine (2019) Vol. 100, pp. 101698-101698
Closed Access | Times Cited: 201
Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study
Hongling Zhu, Cheng Cheng, Hang Yin, et al.
The Lancet Digital Health (2020) Vol. 2, Iss. 7, pp. e348-e357
Open Access | Times Cited: 150
DepHNN: A novel hybrid neural network for electroencephalogram (EEG)-based screening of depression
Geetanjali Sharma, Abhishek Parashar, Amit M. Joshi
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102393-102393
Closed Access | Times Cited: 141
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals
İrem Taşçı, Burak Taşçı, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 96, pp. 252-268
Closed Access | Times Cited: 54
Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 824-824
Open Access | Times Cited: 51
An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy
Wenna Chen, Yixing Wang, Yuhao Ren, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 44
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 877-877
Open Access | Times Cited: 25
Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis
Ritu Gautam, Manik Sharma
Journal of Medical Systems (2020) Vol. 44, Iss. 2
Closed Access | Times Cited: 134
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
Motor Imagery EEG Classification Using Capsule Networks
Kwon-Woo Ha, Jin-Woo Jeong
Sensors (2019) Vol. 19, Iss. 13, pp. 2854-2854
Open Access | Times Cited: 119
Multi-Channel Deep Feature Learning for Intrusion Detection
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, et al.
IEEE Access (2020) Vol. 8, pp. 53346-53359
Open Access | Times Cited: 114
Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records
Özal Yıldırım, Muhammed Talo, Edward J. Ciaccio, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 197, pp. 105740-105740
Open Access | Times Cited: 105
Automated detection of abnormal EEG signals using localized wavelet filter banks
Manish Sharma, Sohamkumar Patel, U. Rajendra Acharya
Pattern Recognition Letters (2020) Vol. 133, pp. 188-194
Closed Access | Times Cited: 94
A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG
Jian Cui, Zirui Lan, Yisi Liu, et al.
Methods (2021) Vol. 202, pp. 173-184
Open Access | Times Cited: 88
Water-resistant and underwater adhesive ion-conducting gel for motion-robust bioelectric monitoring
Chuanyue Sun, Jiabei Luo, Tianxia Jia, et al.
Chemical Engineering Journal (2021) Vol. 431, pp. 134012-134012
Closed Access | Times Cited: 78
Music mood and human emotion recognition based on physiological signals: a systematic review
Vybhav Chaturvedi, Arman Beer Kaur, Vedansh Varshney, et al.
Multimedia Systems (2021) Vol. 28, Iss. 1, pp. 21-44
Closed Access | Times Cited: 77
EEG-based deep learning model for the automatic detection of clinical depression
Pristy Paul Thoduparambil, Anna Dominic, Surekha Mariam Varghese
Physical and Engineering Sciences in Medicine (2020) Vol. 43, Iss. 4, pp. 1349-1360
Closed Access | Times Cited: 72
Automated detection of schizophrenia using optimal wavelet-based $$l_1$$ norm features extracted from single-channel EEG
Manish Sharma, U. Rajendra Acharya
Cognitive Neurodynamics (2021) Vol. 15, Iss. 4, pp. 661-674
Open Access | Times Cited: 71
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