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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 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

Showing 51-75 of 160 citing articles:

SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia
Siuly Siuly, Yan Li, Peng Wen, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 20
Computerized Multidomain EEG Classification System: A New Paradigm
Xiaojun Yu, Muhammad Zulkifal Aziz, Muhammad Tariq Sadiq, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 3626-3637
Closed Access | Times Cited: 19
An Adaptive Optimized Schizophrenia Electroencephalogram Disease Prediction Framework
Varun Gupta, Abhas Kanungo, Nitin Kumar Saxena, et al.
Wireless Personal Communications (2023) Vol. 130, Iss. 2, pp. 1191-1213
Closed Access | Times Cited: 11
Variational mode decomposition-based EEG analysis for the classification of disorders of consciousness
Sreelakshmi Raveendran, Raghavendra Kenchaiah, Santhos Kumar, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4
Diagnosis of Schizophrenia Using EEG Sensor Data: A Novel Approach with Automated Log Energy-Based Empirical Wavelet Reconstruction and Cepstral Features
Sumair Aziz, Muhammad Umar Khan, Khushbakht Iqtidar, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6508-6508
Open Access | Times Cited: 4
EEG-based schizophrenia detection: integrating discrete wavelet transform and deep learning
Dayanand Dhongade, Kamal Captain, Sonika Dahiya
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals
Joel En WeiKoh, V. Rajinikanth, Jahmunah Vicnesh, et al.
Expert Systems (2022) Vol. 41, Iss. 5
Closed Access | Times Cited: 16
Method for Classifying Schizophrenia Patients Based on Machine Learning
C. González Soria, Yoel Arroyo, Ana María Torres, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 13, pp. 4375-4375
Open Access | Times Cited: 10
A Pyramidal Spatial-Based Feature Attention Network for Schizophrenia Detection Using Electroencephalography Signals
Mohan Karnati, Geet Sahu, Abhishek Gupta, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 3, pp. 935-946
Closed Access | Times Cited: 10
EEG analysis in patients with schizophrenia based on microstate semantic modeling method
Hongwei Li, Chuanyue Wang, Lin Ma, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 3
Exploring the potential of pretrained CNNs and time-frequency methods for accurate epileptic EEG classification: a comparative study
Mudasir Jamil, Muhammad Zulkifal Aziz, Xiaojun Yu
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 4, pp. 045023-045023
Closed Access | Times Cited: 3
Improving the separability of drowsiness and alert EEG signals using analytic form of wavelet transform
Sachin Sharma, Smith K. Khare, Varun Bajaj, et al.
Applied Acoustics (2021) Vol. 181, pp. 108164-108164
Closed Access | Times Cited: 22
Attention deficit hyperactivity disorder detection in children using multivariate empirical EEG decomposition approaches: A comprehensive analytical study
Yogesh Sharma, Bikesh Kumar Singh
Expert Systems with Applications (2022) Vol. 213, pp. 119219-119219
Closed Access | Times Cited: 15
Automated schizophrenia detection model using blood sample scattergram images and local binary pattern
Burak Taşçı, Gülay TAŞCI, Hakan Ayyıldız, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 42735-42763
Closed Access | Times Cited: 8
EEG-based schizophrenia classification using penalized sequential dictionary learning in the context of mobile healthcare
Usman Haider, Muhammad Hanif, Ahmar Rashid, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105856-105856
Closed Access | Times Cited: 8
Automatic identification of schizophrenia employing EEG records analyzed with deep learning algorithms
Carmen Soria Bretones, Carlos Roncero Parra, J. Cascón, et al.
Schizophrenia Research (2023) Vol. 261, pp. 36-46
Closed Access | Times Cited: 7
Exploring Frequency Band-Based Biomarkers of EEG Signals for Mild Cognitive Impairment Detection
Md. Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 189-199
Open Access | Times Cited: 7
Optimizing feature subset for schizophrenia detection using multichannel EEG signals and rough set theory
Sridevi Srinivasan, J. Shiny Duela
Cognitive Neurodynamics (2024) Vol. 18, Iss. 2, pp. 431-446
Closed Access | Times Cited: 2
Analysis of EEG signals and data acquisition methods: a review
Abhishek Jain, Rohit Raja, Sumit Srivastava, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Multiresolution feature fusion for smart diagnosis of schizophrenia in adolescents using EEG signals
Rakesh Ranjan, Bikash Chandra Sahana
Cognitive Neurodynamics (2024) Vol. 18, Iss. 5, pp. 2779-2807
Closed Access | Times Cited: 2
Automated diagnosis of schizophrenia based on spatial–temporal residual graph convolutional network
Xinyi Xu, Geng Zhu, Bin Li, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 2
An interpretable schizophrenia diagnosis framework using machine learning and explainable artificial intelligence
Samhita Shivaprasad, Krishnaraj Chadaga, Cifha Crecil Dias, et al.
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 2
An accurate automated schizophrenia detection using TQWT and statistical moment based feature extraction
Mehmet Bayğın
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102777-102777
Closed Access | Times Cited: 16
Bi-LSTM-deep CNN for schizophrenia detection using MSST-spectral images of EEG signals
Komal Jindal, Rahul Upadhyay, Prabin Kumar Padhy, et al.
Elsevier eBooks (2022), pp. 145-162
Closed Access | Times Cited: 11
Automated Rest EEG-Based Diagnosis of Depression and Schizophrenia Using a Deep Convolutional Neural Network
Zhiming Wang, Jingwen Feng, Rui Jiang, et al.
IEEE Access (2022) Vol. 10, pp. 104472-104485
Open Access | Times Cited: 10

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