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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:

EEG Classification During Scene Free-Viewing for Schizophrenia Detection
Christ Devia, Rocío Mayol-Troncoso, Javiera Parrini, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 6, pp. 1193-1199
Closed Access | Times Cited: 76

Showing 1-25 of 76 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
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105554-105554
Open Access | Times Cited: 127
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: 127
Schizophrenia detection using MultivariateEmpirical Mode Decomposition and entropy measures from multichannel EEG signal
Palani Thanaraj Krishnan, Alex Noel Joseph Raj, Parvathavarthini Balasubramanian, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 3, pp. 1124-1139
Closed Access | Times Cited: 109
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
A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals
Zülfikar Aslan, Mehmet Akın
Physical and Engineering Sciences in Medicine (2021) Vol. 45, Iss. 1, pp. 83-96
Closed Access | Times Cited: 76
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
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: 55
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
Multiview EEG signal analysis for diagnosis of schizophrenia: an optimized deep learning approach
Sweta Bhadra, Chandan Jyoti Kumar, Dhruba K. Bhattacharyya
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 13
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: 12
Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection
Amjed Al Fahoum, Ala’a Zyout
International Journal of Neural Systems (2024) Vol. 34, Iss. 09
Closed Access | Times Cited: 10
Schizophrenia detection using distributed activation function-based statistical attentional bidirectional-long short-term memory
Safa Amer Ali, Suraiya Parveen, Ihtiram Raza Khan, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109650-109650
Closed Access | Times Cited: 1
Spectral features based convolutional neural network for accurate and prompt identification of schizophrenic patients
Kuldeep Singh, Sukhjeet Singh, Jyoteesh Malhotra
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2020) Vol. 235, Iss. 2, pp. 167-184
Closed Access | Times Cited: 68
High-performance exclusion of schizophrenia using a novel machine learning method on EEG data
Ricardo Buettner, Michael Hirschmiller, Kevin M. Schlosser, et al.
(2019), pp. 1-6
Closed Access | Times Cited: 59
Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals
Mehmet Bayğın, Orhan Yaman, Türker Tuncer, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102936-102936
Closed Access | Times Cited: 49
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
Smith K. Khare, Varun Bajaj
Computers in Biology and Medicine (2021) Vol. 141, pp. 105028-105028
Closed Access | Times Cited: 47
QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals
Gülay TAŞCI, Mehmet Veysel Gün, Tuğçe Keleş, et al.
Chaos Solitons & Fractals (2023) Vol. 172, pp. 113472-113472
Closed Access | Times Cited: 19
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
Systematic Review on Machine-Learning Algorithms Used in Wearable-Based eHealth Data Analysis
Aditi Site, Jari Nurmi, Elena Simona Lohan
IEEE Access (2021) Vol. 9, pp. 112221-112235
Open Access | Times Cited: 36
A self-learned decomposition and classification model for schizophrenia diagnosis
Smith K. Khare, Varun Bajaj
Computer Methods and Programs in Biomedicine (2021) Vol. 211, pp. 106450-106450
Closed Access | Times Cited: 36
Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices
Nitin Grover, Aviral Chharia, Rahul Upadhyay, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 464-473
Open Access | Times Cited: 13
Efficient Neural Network Classification of Parkinson’s Disease and Schizophrenia Using Resting-State EEG Data
Wenjing Xiong, Lin Ma, Haifeng Li
Brain Topography (2025) Vol. 38, Iss. 3
Closed Access
Neurological abnormality detection from electroencephalography data: a review
Ashik Mostafa Alvi, Siuly Siuly, Hua Wang
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2275-2312
Closed Access | Times Cited: 28
Empirical mode decomposition and convolutional neural network-based approach for diagnosing psychotic disorders from eeg signals
Zülfikar Aslan, Akin Mehmet
Applied Intelligence (2022) Vol. 52, Iss. 11, pp. 12103-12115
Closed Access | Times Cited: 20
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