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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:

Characterization of focal EEG signals: A review
U. Rajendra Acharya, Yuki Hagiwara, Sunny Nitin Deshpande, et al.
Future Generation Computer Systems (2018) Vol. 91, pp. 290-299
Closed Access | Times Cited: 221

Showing 1-25 of 221 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: 297
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
Poomipat Boonyakitanont, Apiwat Lek-uthai, Krisnachai Chomtho, et al.
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101702-101702
Open Access | Times Cited: 291
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
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: 199
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
Parkinson's disease: Cause factors, measurable indicators, and early diagnosis
Shreya Bhat, U. Rajendra Acharya, Yuki Hagiwara, et al.
Computers in Biology and Medicine (2018) Vol. 102, pp. 234-241
Closed Access | Times Cited: 170
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
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: 130
Time-Frequency Domain Deep Convolutional Neural Network for the Classification of Focal and Non-Focal EEG Signals
Srirangan Madhavan, Rajesh Kumar Tripathy, Ram Bilas Pachori
IEEE Sensors Journal (2019) Vol. 20, Iss. 6, pp. 3078-3086
Closed Access | Times Cited: 107
Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification
Saptarshi Chatterjee, Debangshu Dey, Sugata Munshi
Computer Methods and Programs in Biomedicine (2019) Vol. 178, pp. 201-218
Closed Access | Times Cited: 102
Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals
Hui Tian Tor, Chui Ping Ooi, Nikki Lim-Ashworth, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 200, pp. 105941-105941
Closed Access | Times Cited: 101
Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases
Hamed Azami, Steven E. Arnold, Saeid Sanei, et al.
IEEE Access (2019) Vol. 7, pp. 68718-68733
Open Access | Times Cited: 96
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
Artificial intelligence in radiotherapy
Sarkar Siddique, James C. L. Chow
Reports of Practical Oncology & Radiotherapy (2020) Vol. 25, Iss. 4, pp. 656-666
Open Access | Times Cited: 86
Autism Spectrum Disorder Diagnostic System Using HOS Bispectrum with EEG Signals
The‐Hanh Pham, Jahmunah Vicnesh, Joel Koh En Wei, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 3, pp. 971-971
Open Access | Times Cited: 85
Machine-Learning-Based Emotion Recognition System Using EEG Signals
Rania Alhalaseh, Suzan Alasasfeh
Computers (2020) Vol. 9, Iss. 4, pp. 95-95
Open Access | Times Cited: 81
Episodic Ultradian Events—Ultradian Rhythms
Grace H. Goh, Shane K. Maloney, Peter J. Mark, et al.
Biology (2019) Vol. 8, Iss. 1, pp. 15-15
Open Access | Times Cited: 77
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: 75
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
A Review: Electrode and Packaging Materials for Neurophysiology Recording Implants
Weiyang Yang, Yan Gong, Wen Li
Frontiers in Bioengineering and Biotechnology (2021) Vol. 8
Open Access | Times Cited: 58
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: 58
Recent Progress on Poly(3,4‐Ethylenedioxythiophene):Poly(Styrenesulfonate) Bioelectrodes
Xiaojia Du, Leyi Yang, Nan Liu
Small Science (2023) Vol. 3, Iss. 7
Open Access | Times Cited: 30
Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning
Asmaa Maher, Saeed Mian Qaisar, Nilima Salankar, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 2, pp. 463-475
Open Access | Times Cited: 29
A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method
Emrah Aydemir, Türker Tuncer, Şengül Doğan
Medical Hypotheses (2019) Vol. 134, pp. 109519-109519
Closed Access | Times Cited: 57
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