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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:

Machine Learning and Electroencephalogram Signal based Diagnosis of Depression
Adil O. Khadidos, Khaled H. Alyoubi, Shalini Mahato, et al.
Neuroscience Letters (2023) Vol. 809, pp. 137313-137313
Closed Access | Times Cited: 12

Showing 12 citing articles:

Anxiety Controlling Application using EEG Neurofeedback System
R. Kishore Kanna, Shashikant V. Athawale, Makarand Y. Naniwadekar, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 19
Association of resting-state EEG with suicidality in depressed patients: a systematic review
Fatemeh Shamsi, Fatemeh Azadinia, Farzaneh Vafaee
BMC Psychiatry (2025) Vol. 25, Iss. 1
Open Access
Exploring Adaptive Graph Topologies and Temporal Graph Networks for EEG-Based Depression Detection
Gang Luo, Hong Rao, Panfeng An, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3947-3957
Open Access | Times Cited: 7
Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis
Haijun Lin, Jing Fang, Junpeng Zhang, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6815-6815
Open Access | Times Cited: 2
Brain and Heart Rate Variability Patterns Recognition for Depression Classification of Mental Health Disorder
Qaisar Abbas, M. Emre Celebi, Talal Albalawi, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access | Times Cited: 1
Explainable hybrid tabular Variational Autoencoder and feature Tokenizer Transformer for depression prediction
Quang Vĩnh Trần, Haewon Byeon
Expert Systems with Applications (2024) Vol. 265, pp. 126084-126084
Closed Access | Times Cited: 1
Electroencephalography-based endogenous phenotype of diagnostic transition from major depressive disorder to bipolar disorder
Kuk‐In Jang, Euijin Kim, Ho Sung Lee, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
MDD diagnosis based on EEG feature fusion and improved feature selection
Wan Chen, Yanping Cai, Aihua Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107271-107271
Closed Access
MSCNet-FS: development of intelligent epileptic seizure anticipation model by multi serial cascaded network with feature Specific using scalogram images of EEG signal
Vinod J. Thomas, Anto Sahaya Dhas
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-24
Closed Access
Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies
Nuray Vakitbilir, Abrar Islam, Alwyn Gomez, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8148-8148
Open Access
Detection of Interictal epileptiform discharges with semi-supervised deep learning
Ana Maria Amaro de Sousa, Michel J. A. M. van Putten, Stéphanie M. van den Berg, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105610-105610
Open Access | Times Cited: 1
Depression Diagnosis Using Linear Features Based on EEG Signals
Prajakta Rohan Naregalkar, Arundhati A. Shinde, M V Patil
(2023), pp. 1-6
Closed Access
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