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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:

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

Showing 1-25 of 199 citing articles:

A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals
Siuly Siuly, Smith K. Khare, Varun Bajaj, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 11, pp. 2390-2400
Closed Access | Times Cited: 160
SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals
Smith K. Khare, Varun Bajaj, U. Rajendra Acharya
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-9
Closed Access | Times Cited: 132
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
Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals
Kritiprasanna Das, Ram Bilas Pachori
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102525-102525
Closed Access | Times Cited: 102
Schizophrenia classification using machine learning on resting state EEG signal
Juan Ruiz de Miras, Antonio J. Ibáñez‐Molina, María Felipa Soriano, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104233-104233
Open Access | Times Cited: 69
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
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 novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques
Mohammad Ehsan Basiri, Moloud Abdar, Mehmet Akif Çifçi, et al.
Knowledge-Based Systems (2020) Vol. 198, pp. 105949-105949
Closed Access | Times Cited: 130
Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals
Ahmad Shalbaf, Sara Bagherzadeh, Arash Maghsoudi
Physical and Engineering Sciences in Medicine (2020) Vol. 43, Iss. 4, pp. 1229-1239
Closed Access | Times Cited: 125
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
VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images
Muhammad Attique Khan, V. Rajinikanth, Suresh Chandra Satapathy, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2208-2208
Open Access | Times Cited: 99
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
Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls
Carla Barros, Carlos A. Silva, Ana P. Pinheiro
Artificial Intelligence in Medicine (2021) Vol. 114, pp. 102039-102039
Open Access | Times Cited: 79
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: 70
Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features
Hesam Akbari, Sedigheh Ghofrani, Pejman Zakalvand, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102917-102917
Closed Access | Times Cited: 69
Application of Artificial Intelligence techniques for the detection of Alzheimer’s disease using structural MRI images
Xinxing Zhao, Candice Ke En Ang, U. Rajendra Acharya, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 2, pp. 456-473
Closed Access | Times Cited: 64
Detection of Parkinson’s disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques
Majid Aljalal, Saeed A. Aldosari, Marta Molinas, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 57
Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques
Fatima Hassan, Syed Fawad Hussain, Saeed Mian Qaisar
Information Fusion (2022) Vol. 92, pp. 466-478
Closed Access | Times Cited: 54
Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal
Sara Bagherzadeh, Mohsen Sadat Shahabi, Ahmad Shalbaf
Computers in Biology and Medicine (2022) Vol. 146, pp. 105570-105570
Closed Access | Times Cited: 52
Parkinson’s Disease Detection from Resting-State EEG Signals Using Common Spatial Pattern, Entropy, and Machine Learning Techniques
Majid Aljalal, Saeed A. Aldosari, Khalil AlSharabi, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1033-1033
Open Access | Times Cited: 51
EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer’s disease and schizophrenia
Caroline L. Alves, Aruane M. Pineda, Kirstin Roster, et al.
Journal of Physics Complexity (2022) Vol. 3, Iss. 2, pp. 025001-025001
Open Access | Times Cited: 45
SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals
Smith K. Khare, Varun Bajaj, U. Rajendra Acharya
Physiological Measurement (2023) Vol. 44, Iss. 3, pp. 035005-035005
Open Access | Times Cited: 38
Exploring deep residual network based features for automatic schizophrenia detection from EEG
Siuly Siuly, Yanhui Guo, Ömer Faruk Alçin, et al.
Physical and Engineering Sciences in Medicine (2023) Vol. 46, Iss. 2, pp. 561-574
Open Access | Times Cited: 29
Fusion of pattern-based and statistical features for Schizophrenia detection from EEG signals
Megha Agarwal, Amit Singhal
Medical Engineering & Physics (2023) Vol. 112, pp. 103949-103949
Closed Access | Times Cited: 22
A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning
Jagdeep Rahul, Diksha Sharma, Lakhan Dev Sharma, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 11
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