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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:

Depressive Disorder Recognition Based on Frontal EEG Signals and Deep Learning
Yanting Xu, Hongyang Zhong, Shangyan Ying, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8639-8639
Open Access | Times Cited: 11

Showing 11 citing articles:

A machine learning based depression screening framework using temporal domain features of the electroencephalography signals
Sheharyar Khan, Sanay Muhammad Umar Saeed, Jaroslav Frnda, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299127-e0299127
Open Access | Times Cited: 6
Hardware Based Real Time EEG Signal Analysis for Depression Detection Using Interconnected Graph-Based Features
Ramnivas Sharma, Hemant Kumar Meena
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-9
Closed Access
The application of artificial intelligence in insomnia, anxiety, and depression: A bibliometric analysis
E. Lu, Di Zhang, Minseok Han, et al.
Digital Health (2025) Vol. 11
Open Access
Deep Learning-Based Artificial Intelligence Can Differentiate Treatment-Resistant and Responsive Depression Cases with High Accuracy
Sinem Zeynep Metin, Çağlar Uyulan, Shams Farhad, et al.
Clinical EEG and Neuroscience (2024)
Closed Access | Times Cited: 2
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
Enhanced diagnostics for generalized anxiety disorder: leveraging differential channel and functional connectivity features based on frontal EEG signals
Wei Liu, Bin Zhou, Gang Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Revolutionizing Depression Diagnosis: The Synergy of EEG-based Cognitive Biomarkers and Machine Learning
Kiran Boby, Sridevi Veerasingam
Behavioural Brain Research (2024) Vol. 478, pp. 115325-115325
Closed Access
Stacked ensemble machine learning approach for electroencephalography based major depressive disorder classification using temporal statistics
N. Ahmed, Tejas Kadengodlu Bhat, Omkar S Powar
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access
Psychiatric Disorders from EEG Signals Through Deep Learning Models
Zaeem Ahmed, Aamir Wali, Saman Shahid, et al.
IBRO Neuroscience Reports (2024) Vol. 17, pp. 300-310
Open Access
PsyNet: A robust Deep Learning-based framework for Detecting Psychiatric Disorders using EEG signals
Prithwijit Mukherjee, D Biswas, Sagnik De, et al.
(2024), pp. 1-6
Closed Access
BrainWave Diagnostics: An Extensive Examination of Determinants of Multiple Neurological Disease from EEG Signals
shraddha jain
Research Square (Research Square) (2023)
Open Access
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