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:

Alterations in Patients With First-Episode Depression in the Eyes-Open and Eyes-Closed Conditions: A Resting-State EEG Study
Shuang Liu, Xiaoya Liu, Danfeng Yan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1019-1029
Open Access | Times Cited: 24

Showing 24 citing articles:

Cross-subject classification of depression by using multiparadigm EEG feature fusion
Jianli Yang, Zhen Zhang, Zhiyu Fu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 233, pp. 107360-107360
Closed Access | Times Cited: 17

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

Aperiodic and Hurst EEG exponents across early human brain development: A systematic review
Ryan A. Stanyard, Dan Mason, Claire L. Ellis, et al.
Developmental Cognitive Neuroscience (2024) Vol. 68, pp. 101402-101402
Open Access | Times Cited: 5

Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning
Damir Mulc, Jakša Vukojević, Eda Jovičić, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 409-409
Open 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

Comprehensive analysis of prefrontal cortex-directional rhythms categorization for rehabilitation
Anna Latha M., R. Ramésh
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-12
Closed Access

Identification of Neurophysiological Signatures of Bipolar Disorder by Resting-State EEG Microstate Analysis
Keita Taniguchi, Naotsugu Kaneko, Masataka Wada, et al.
Journal of Affective Disorders Reports (2025), pp. 100891-100891
Open Access

A Multiview Sparse Dynamic Graph Convolution-Based Region-Attention Feature Fusion Network for Major Depressive Disorder Detection
Weigang Cui, Mingyi Sun, Qunxi Dong, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2691-2702
Closed Access | Times Cited: 10

HEMAsNet: A Hemisphere Asymmetry Network Inspired by the Brain for Depression Recognition From Electroencephalogram Signals
Jian Shen, Kunlin Li, Huajian Liang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5247-5259
Closed Access | Times Cited: 3

Directed brain network analysis in anxious and non-anxious depression based on EEG source reconstruction and graph theory
Hesam Shokouh Alaei, Majid Ghoshuni, Iraj Vosough
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104666-104666
Open Access | Times Cited: 8

Perceived stress and brain connectivity in subthreshold depression: Insights from eyes-closed and eyes-open states
Bin-Kun Huang, Jun-He Zhou, Ying Deng, et al.
Brain Research (2024) Vol. 1838, pp. 148947-148947
Closed Access | Times Cited: 2

Multi-Granularity Graph Convolution Network for Major Depressive Disorder Recognition
Xiaofang Sun, Yonghui Xu, Yibowen Zhao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 559-569
Open Access | Times Cited: 5

Aperiodic and Hurst EEG exponents across early human brain development: a systematic review
Ryan A. Stanyard, Dan Mason, Claire L. Ellis, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

ACNN-LSTM: A Novel Deep Learning Approach for Decoding Depression from Resting-State EEG

International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 539-550
Open Access | Times Cited: 1

Resting-State Alpha Activity in the Frontal and Occipital Lobes and Assessment of Cognitive Impairment in Depression Patients
Xiao-meng Xie, Sha Sha, Hong Cai, et al.
Psychology Research and Behavior Management (2024) Vol. Volume 17, pp. 2995-3003
Open Access | Times Cited: 1

Investigation of the impact of cross-frequency coupling on the assessment of depression severity through the analysis of resting state EEG signals
Parisa Raouf, Vahid Shalchyan, Reza Rostami
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106392-106392
Closed Access

Fusion of eyes-open and eyes-closed electroencephalography in resting state for classification of major depressive disorder
Jianli Yang, Jiehui Li, Songlei Zhao, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106964-106964
Closed Access

Depression recognition using high-order generalized multilayer brain functional network fused with EEG multi-domain information
Shanshan Qu, Dixin Wang, Chang Yan, et al.
Information Fusion (2024), pp. 102723-102723
Closed 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

A novel wearable ERP-based BCI approach to explicate hunger necessity
Egehan Çetin, Süleyman Bilgin, Gürkan BİLGİN
Neuroscience Letters (2023) Vol. 818, pp. 137573-137573
Closed Access | Times Cited: 1

Analysis of the Effect of Cross-Frequency Coupling in the Diagnosis of Depression Using Resting State EEG Signal
Parisa Raouf Emamzadeh Hashemi, Vahid Shalchyan, Reza Rostami
(2023), pp. 294-300
Closed Access

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