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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:

Major depressive disorder assessment via enhanced k-nearest neighbor method and EEG signals
Maryam Saeedi, Abdolkarim Saeedi, Arash Maghsoudi
Physical and Engineering Sciences in Medicine (2020) Vol. 43, Iss. 3, pp. 1007-1018
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Characterizing Major Depressive Disorder (MDD) using alpha-band activity in resting-state electroencephalogram (EEG) combined with MATRICS Consensus Cognitive Battery (MCCB)
Bin Wang, Meijia Li, Naem Haihambo, et al.
Journal of Affective Disorders (2024) Vol. 355, pp. 254-264
Open Access | Times Cited: 17
Resting-State EEG Signal for Major Depressive Disorder Detection: A Systematic Validation on a Large and Diverse Dataset
Chien‐Te Wu, Hao-Chuan Huang, Shiuan Huang, et al.
Biosensors (2021) Vol. 11, Iss. 12, pp. 499-499
Open Access | Times Cited: 58
Exploration of EEG-Based Depression Biomarkers Identification Techniques and Their Applications: A Systematic Review
Antora Dev, N. Roy, Md. Kafiul Islam, et al.
IEEE Access (2022) Vol. 10, pp. 16756-16781
Open Access | Times Cited: 56
Depression diagnosis by deep learning using EEG signals: A systematic review
Atefeh Safayari, Hamidreza Bolhasani
Medicine in Novel Technology and Devices (2021) Vol. 12, pp. 100102-100102
Open Access | Times Cited: 56
Emotion recognition using effective connectivity and pre-trained convolutional neural networks in EEG signals
Sara Bagherzadeh, Keivan Maghooli, Ahmad Shalbaf, et al.
Cognitive Neurodynamics (2022) Vol. 16, Iss. 5, pp. 1087-1106
Open Access | Times Cited: 41
Development of Wavelet Coherence EEG as a Biomarker for Diagnosis of Major Depressive Disorder
Danish M. Khan, Komal Masroor, Muhammad Fahim Mohd Jailani, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 5, pp. 4315-4325
Closed Access | Times Cited: 39
Exploring Self-Attention Graph Pooling With EEG-Based Topological Structure and Soft Label for Depression Detection
Tao Chen, Yanrong Guo, Shijie Hao, et al.
IEEE Transactions on Affective Computing (2022) Vol. 13, Iss. 4, pp. 2106-2118
Closed Access | Times Cited: 39
Electroencephalography signals-based sparse networks integration using a fuzzy ensemble technique for depression detection
Surbhi Soni, Ayan Seal, Sraban Kumar Mohanty, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104873-104873
Closed Access | Times Cited: 22
DiffMDD: A Diffusion-Based Deep Learning Framework for MDD Diagnosis Using EEG
Yilin Wang, Sha Zhao, Haiteng Jiang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 728-738
Open Access | Times Cited: 10
Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis
Ashima Khosla, Padmavati Khandnor, Trilok Chand
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 108-142
Closed Access | Times Cited: 51
An End-to-End Deep Learning Model for EEG-Based Major Depressive Disorder Classification
Min Xia, Yangsong Zhang, Yihan Wu, et al.
IEEE Access (2023) Vol. 11, pp. 41337-41347
Open Access | Times Cited: 18
Mitigating the curse of dimensionality using feature projection techniques on electroencephalography datasets: an empirical review
Arti Anuragi, Dilip Singh Sisodia, Ram Bilas Pachori
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 7
CEPS: An Open Access MATLAB Graphical User Interface (GUI) for the Analysis of Complexity and Entropy in Physiological Signals
David Mayor, Deepak Panday, Hari Kala Kandel, et al.
Entropy (2021) Vol. 23, Iss. 3, pp. 321-321
Open Access | Times Cited: 34
Machine learning approaches for diagnosing depression using EEG: A review
Yuan Liu, Changqin Pu, Shan Xia, et al.
Translational Neuroscience (2022) Vol. 13, Iss. 1, pp. 224-235
Open Access | Times Cited: 24
Depression screening using hybrid neural network
Jiao Zhang, Baomin Xu, Hongfeng Yin
Multimedia Tools and Applications (2023) Vol. 82, Iss. 17, pp. 26955-26970
Open Access | Times Cited: 15
Improving EEG major depression disorder classification using FBSE coupled with domain adaptation method based machine learning algorithms
Hadeer Mohammed, Mohammed Diykh
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104923-104923
Open Access | Times Cited: 15
Analysis of EEG features and study of automatic classification in first-episode and drug-naïve patients with major depressive disorder
Yuanyuan Huang, Yun Yi, Qiang Chen, et al.
BMC Psychiatry (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 14
M-Mdd: A Multi-Task Deep Learning Framework for Major Depressive Disorder Diagnosis Using Eeg
Yilin Wang, Sha Zhao, Haiteng Jiang, et al.
(2025)
Closed Access
Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review
Kholoud Elnaggar, M. M. El-Gayar, Mohammed Elmogy
Diagnostics (2025) Vol. 15, Iss. 2, pp. 210-210
Open Access
Revealing patterns in major depressive disorder with machine learning and networks
Loriz Francisco Sallum, Caroline L. Alves, Thaise G. L. de O. Toutain, et al.
Chaos Solitons & Fractals (2025) Vol. 194, pp. 116163-116163
Open Access
M-MDD: A multi-task deep learning framework for major depressive disorder diagnosis using EEG
Yilin Wang, Sha Zhao, Haiteng Jiang, et al.
Neurocomputing (2025), pp. 130008-130008
Closed Access
An Interpretable Machine Learning Method for the Detection of Schizophrenia Using EEG Signals
Manuel A. Vázquez, Arash Maghsoudi, Inés P. Mariño
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 31
Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
Prabal Datta Barua, Jahmunah Vicnesh, Oh Shu Lih, et al.
Cognitive Neurodynamics (2022) Vol. 18, Iss. 1, pp. 1-22
Open Access | Times Cited: 19
Machine Learning in ADHD and Depression Mental Health Diagnosis: A Survey
Christian Nash, Rajesh Nair, Syed Mohsen Naqvi
IEEE Access (2023) Vol. 11, pp. 86297-86317
Open Access | Times Cited: 12
An Intelligent Mobile Application to Classify Employee Mental Workload Based on Eeg Dataset Using Machine Learning
Sithara H. P. W. Gamage, Pantea Keikhosrokiani
(2025)
Closed Access
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