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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 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

Showing 1-25 of 76 citing articles:

Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Smith K. Khare, Sonja March, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 99, pp. 101898-101898
Open Access | Times Cited: 76
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
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
Wavelet transforms for feature engineering in EEG data processing: An application on Schizophrenia
Bethany Gosala, Pappu Dindayal Kapgate, Priyanka Jain, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104811-104811
Closed Access | Times Cited: 36
DepCap: A Smart Healthcare Framework for EEG Based Depression Detection Using Time-Frequency Response and Deep Neural Network
Geetanjali Sharma, Amit M. Joshi, Richa Gupta, et al.
IEEE Access (2023) Vol. 11, pp. 52327-52338
Open Access | Times Cited: 26
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
Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 8
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
A Survey on EEG Signal Processing Techniques and Machine Learning: Applications to the Neurofeedback of Autobiographical Memory Deficits in Schizophrenia
Miguel Á. Luján, María Verónica Jimeno Jiménez, Jorge Mateo, et al.
Electronics (2021) Vol. 10, Iss. 23, pp. 3037-3037
Open Access | Times Cited: 45
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Closed Access | Times Cited: 30
Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia
Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore
Multimedia Tools and Applications (2022) Vol. 82, Iss. 13, pp. 20343-20405
Closed Access | Times Cited: 28
Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions
Shradha Verma, Tripti Goel, M. Tanveer, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 5, pp. 4795-4807
Open Access | Times Cited: 21
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
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: 17
Deep-learning detection of mild cognitive impairment from sleep electroencephalography for patients with Parkinson’s disease
Madan Parajuli, Amy W. Amara, Mohamed Shaban
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0286506-e0286506
Open Access | Times Cited: 17
An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea
Fernando Vaquerizo-Villar, Gonzalo C. Gutiérrez‐Tobal, E. Calvo, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107419-107419
Open Access | Times Cited: 17
Schizophrenia Identification Through Deep Learning on Spectrogram Images
A. Prabhakara Rao, G. Prasanna Kumar, Rakesh Ranjan, et al.
(2024), pp. 3-11
Closed Access | Times Cited: 6
Impact of the Preprocessing Steps in Deep Learning-Based Image Classifications
H. James Deva Koresh
National Academy Science Letters (2024) Vol. 47, Iss. 6, pp. 645-647
Closed Access | Times Cited: 5
Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals
Bishwajit Roy, Lokesh Malviya, Radhikesh Kumar, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1936-1936
Open Access | Times Cited: 15
A deep learning approach for diagnosis of schizophrenia disorder via data augmentation based on convolutional neural network and long short-term memory
Amin Mashayekhi Shams, Sepideh Jabbari
Biomedical Engineering Letters (2024) Vol. 14, Iss. 4, pp. 663-675
Closed Access | Times Cited: 5
Quantum Machine-Based Decision Support System for the Detection of Schizophrenia from EEG Records
Gamzepelin Aksoy, Grégoire Cattan, Subrata Chakraborty, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 5
SchizoLMNet: a modified lightweight MobileNetV2- architecture for automated schizophrenia detection using EEG-derived spectrograms
A. Prabhakara Rao, Rakesh Ranjan, Bikash Chandra Sahana, et al.
Physical and Engineering Sciences in Medicine (2025)
Closed Access
EEG-derived brainwave patterns for depression diagnosis via hybrid machine learning and deep learning frameworks
Nitin Ahire
Applied Neuropsychology Adult (2025), pp. 1-10
Closed Access
Application of Transfer Learning for Biomedical Signals: A Comprehensive Review of the Last Decade (2014-2024)
Mahboobeh Jafari, Xiaohui Tao, Prabal Datta Barua, et al.
Information Fusion (2025) Vol. 118, pp. 102982-102982
Open Access
Enhancing Schizophrenia Diagnosis Through Multi-View EEG Analysis: Integrating Raw Signals and Spectrograms in a Deep Learning Framework
Hasan Zan
Clinical EEG and Neuroscience (2025)
Closed Access
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