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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:

Graph-based analysis of brain connectivity in schizophrenia
Elżbieta Olejarczyk, Wojciech Jernajczyk
PLoS ONE (2017) Vol. 12, Iss. 11, pp. e0188629-e0188629
Open Access | Times Cited: 210

Showing 1-25 of 210 citing articles:

Deep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals
Shu Lih Oh, Jahmunah Vicnesh, Edward J. Ciaccio, et al.
Applied Sciences (2019) Vol. 9, Iss. 14, pp. 2870-2870
Open Access | Times Cited: 264
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: 201
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: 128
The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research
Giuseppe Ippolito, Riccardo Bertaccini, Luca Tarasi, et al.
Biomedicines (2022) Vol. 10, Iss. 12, pp. 3189-3189
Open Access | Times Cited: 83
The applied principles of EEG analysis methods in neuroscience and clinical neurology
Hao Zhang, Qing-Qi Zhou, He Chen, et al.
Military Medical Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 49
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: 19
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: 128
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: 110
Human brain connectivity: Clinical applications for clinical neurophysiology
Mark Hallett, Willem de Haan, Gustavo Deco, et al.
Clinical Neurophysiology (2020) Vol. 131, Iss. 7, pp. 1621-1651
Closed Access | Times Cited: 104
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: 103
Automatic Detection of Schizophrenia by Applying Deep Learning over Spectrogram Images of EEG Signals
Zülfikar Aslan, Mehmet Akın
Traitement du signal (2020) Vol. 37, Iss. 2, pp. 235-244
Open Access | Times Cited: 95
Development of a Machine Learning Based Algorithm To Accurately Detect Schizophrenia based on One-minute EEG Recordings
Ricardo Buettner, David Beil, Stefanie Scholtz, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2020)
Open Access | Times Cited: 87
EEG microstate features for schizophrenia classification
Kyungwon Kim, Nguyen Thanh Duc, Minsung Choi, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0251842-e0251842
Open Access | Times Cited: 77
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
A novel Covid-19 and pneumonia classification method based on F-transform
Türker Tuncer, Fatih Özyurt, Şengül Doğan, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 210, pp. 104256-104256
Open Access | Times Cited: 73
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: 72
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: 70
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: 54
Automatic and Efficient Framework for Identifying Multiple Neurological Disorders From EEG Signals
Md. Nurul Ahad Tawhid, Siuly Siuly, Kate Wang, et al.
IEEE Transactions on Technology and Society (2023) Vol. 4, Iss. 1, pp. 76-86
Closed Access | Times Cited: 38
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
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: 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: 30
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: 24
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: 14
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: 14
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