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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:

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

Showing 1-25 of 56 citing articles:

Modern Methods of Diagnostics and Treatment of Neurodegenerative Diseases and Depression
Natalia Shusharina, Denis Yukhnenko, Stepan Botman, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 573-573
Open Access | Times Cited: 55
DepMSTAT: Multimodal Spatio-Temporal Attentional Transformer for Depression Detection
Yongfeng Tao, Minqiang Yang, Huiru Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 2956-2966
Closed Access | Times Cited: 21
Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function
Md Belal Bin Heyat, Faijan Akhtar, Farwa Munir, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 5883-5915
Open Access | Times Cited: 19
Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals
Gülay TAŞCI, Prabal Datta Barua, Dahiru Tanko, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 154-154
Open Access | Times Cited: 2
DepCap: A Smart Healthcare Framework for EEG Based Depression Detection Using Time-Frequency Response and Deep Neural Network
Geetanjali Sharma, Amit M. Joshi, Richa Gupta, et al.
IEEE Access (2023) Vol. 11, pp. 52327-52338
Open Access | Times Cited: 26
A systematic review on surface electromyography-based classification system for identifying hand and finger movements
Afroza Sultana, Farruk Ahmed, Mohammad Shafiul Alam
Healthcare Analytics (2022) Vol. 3, pp. 100126-100126
Open Access | Times Cited: 30
Energy-Efficient EEG-Based Scheme for Autism Spectrum Disorder Detection Using Wearable Sensors
Sarah Alhassan, Adel Soudani, Manan AlMusallam
Sensors (2023) Vol. 23, Iss. 4, pp. 2228-2228
Open Access | Times Cited: 18
Machine Learning and Cloud-Based Knowledge Graphs to Recognize Suicidal Mental Tendencies
Vinit Kumar Gunjan, Y Vijayalata, Susmitha Valli, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 23
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
Resting-State EEG Oscillations in Amyotrophic Lateral Sclerosis (ALS): Toward Mechanistic Insights and Clinical Markers
James Chmiel, Marta Stępień-Słodkowska
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 545-545
Open Access
Predicting the Treatment Response of Patients With Major Depressive Disorder to Selective Serotonin Reuptake Inhibitors Using Machine Learning Techniques and EEG Functional Connectivity Features
Fanglan Wang, Zifan You, Tingkai Zhang, et al.
Depression and Anxiety (2025) Vol. 2025, Iss. 1
Open Access
Explainable AI for Bipolar Disorder Diagnosis Using Hjorth Parameters
Mehrnaz Saghab Torbati, Ahmad Zandbagleh, Mohammad Reza Daliri, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 316-316
Open Access
Research on Depression Recognition Model and Its Temporal Characteristics Based on Multiscale Entropy of EEG Signals
Xin Xu, Jiangnan Xu, Ruoyu Du, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 142-142
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
Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification
Miguel Suárez, Ana M. Torres, P Blasco-Segura, et al.
Life (2025) Vol. 15, Iss. 3, pp. 394-394
Open Access
A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals
Jolly Ehiabhi, Haifeng Wang
BioMedInformatics (2023) Vol. 3, Iss. 1, pp. 193-219
Open Access | Times Cited: 11
Technical and clinical considerations for electroencephalography-based biomarkers for major depressive disorder
Leif Simmatis, Emma E. Russo, Joseph Geraci, et al.
npj Mental Health Research (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 11
Spectral Changes of EEG Following a 6-Week Low-Dose Oral Ketamine Treatment in Adults With Major Depressive Disorder and Chronic Suicidality
Toomas Erik Anijärv, Adem Can, Cyrana C. Gallay, et al.
The International Journal of Neuropsychopharmacology (2023) Vol. 26, Iss. 4, pp. 259-267
Open Access | Times Cited: 9
Sub-scalp electroencephalography: A next-generation technique to study human neurophysiology
Zulfi Haneef, Kaiyuan Yang, Sameer A. Sheth, et al.
Clinical Neurophysiology (2022) Vol. 141, pp. 77-87
Open Access | Times Cited: 14
Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression
Shiau‐Shian Huang, Yu‐Hsiang Yu, His-Han Chen, et al.
BMC Psychiatry (2023) Vol. 23, Iss. 1
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
Neurophysiological markers of depression detection and severity prediction in first-episode major depressive disorder
Shuang Liu, Xiaoya Liu, Sitong Chen, et al.
Journal of Affective Disorders (2023) Vol. 331, pp. 8-16
Open Access | Times Cited: 6
Generation of synthetic EEG data for training algorithms supporting the diagnosis of major depressive disorder
Friedrich Philipp Carrle, Yasmin Hollenbenders, Alexandra Reichenbach
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6
Breakdown of long-range spatial correlations of infraslow amplitude fluctuations of EEG oscillations in patients with current and past major depressive disorder
Duho Sihn, Ji Sun Kim, Oh‐Sang Kwon, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 5
The effects of electroencephalography functional connectivity during emotional recognition among patients with major depressive disorder and healthy controls
Eunice J. Yuan, Chieh Hsin Chang, His-Han Chen, et al.
Journal of Psychiatric Research (2024) Vol. 172, pp. 16-23
Closed Access | Times Cited: 1
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