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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:

Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals
Neha Gour, Taimur Hassan, Muhammad Owais, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 13

Showing 13 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
A procedural overview of why, when and how to use machine learning for psychiatry
Christopher Lucasius, Muhammad Amjad Ali, Tejal Patel, et al.
Nature Mental Health (2025) Vol. 3, Iss. 1, pp. 8-18
Closed Access
Transformers in EEG Analysis: A Review of Architectures and Applications in Motor Imagery, Seizure, and Emotion Classification
Elnaz Vafaei, Mohammad Hosseini
Sensors (2025) Vol. 25, Iss. 5, pp. 1293-1293
Open Access
Improving mental dysfunction detection from EEG signals: Self-contrastive learning and multitask learning with transformers
Shakila Basheer, Ghadah Aldehim, Ala Saleh Alluhaidan, et al.
Alexandria Engineering Journal (2024) Vol. 106, pp. 52-59
Closed Access | Times Cited: 4
Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review
Ikram Bagri, Karim Tahiry, Aziz Hraiba, et al.
Vibration (2024) Vol. 7, Iss. 4, pp. 1013-1062
Open Access | Times Cited: 1
Multi-modal EEG NEO-FFI with Trained Attention Layer (MENTAL) for mental disorder prediction
Garrett Greiner, Yu Zhang
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Classification of Psychiatric Disorders Using QEEG Data Through Convolution Neural Networks and Gated Recurrent Units
Janya Verma, Devanshu Kumar Singh, Aditya Tyagi, et al.
(2024), pp. 961-967
Closed Access
Multi-Modal EEG NEO-FFI with Trained Attention Layer (MENTAL) for Mental Disorder Prediction
Garrett Greiner, Yu Zhang
Research Square (Research Square) (2024)
Open Access
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
An Automated Approach for Predicting HAMD-17 Scores via Divergent Selective Focused Multi-heads Self-Attention Network
Jing Qin, Zhiguang Qin, Zhen Qin, et al.
Brain Research Bulletin (2024) Vol. 213, pp. 110984-110984
Open Access
Deep learning vs. conventional techniques for processing and classifying EEG brain disorders: A survey
Dina M Abooelzahab, Nawal Zaher, Abdel‐Hamid Soliman, et al.
2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (2024) Vol. 2, pp. 1-6
Closed Access
Machine learning classification of retinal imaging of neuropsychiatric and healthy cases in a subset of the UK Biobank cohort
Babatunde Aideyan
(2023)
Open Access
Detection of Schizophrenia from EEG Signal–A Convolution Neural Network Framework using Small Dataset
Angshuman Sarkar, Shambo Saurav Mallik
Indian Science Cruiser (2023), pp. 46-55
Closed Access
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