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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:

Multivariate Classification of Major Depressive Disorder Using the Effective Connectivity and Functional Connectivity
Xiang-Fei GENG, Junhai Xu, Baolin Liu, et al.
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Towards a brain‐based predictome of mental illness
Barnaly Rashid, Vince D. Calhoun
Human Brain Mapping (2020) Vol. 41, Iss. 12, pp. 3468-3535
Open Access | Times Cited: 149
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105554-105554
Open Access | Times Cited: 127
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
Fuad Noman, Chee-Ming Ting, Hakmook Kang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1644-1655
Open Access | Times Cited: 16
Functional connectome gradient of prefrontal cortex as biomarkers of high risk for internet gaming disorder
Xinwen Wen, Lirong Yue, Zhe Du, et al.
NeuroImage (2025) Vol. 306, pp. 121010-121010
Open Access | Times Cited: 4
Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning Approach
Baoyu Yan, Xiaopan Xu, Mengwan Liu, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 61
Hippocampal functional connectivity-based discrimination between bipolar and major depressive disorders
Ahmed Ameen Fateh, Zhiliang Long, Xujun Duan, et al.
Psychiatry Research Neuroimaging (2019) Vol. 284, pp. 53-60
Closed Access | Times Cited: 59
Abnormal core functional connectivity on the pathology of MDD and antidepressant treatment: A systematic review
Jianxiu Li, Junhao Chen, Wenwen Kong, et al.
Journal of Affective Disorders (2021) Vol. 296, pp. 622-634
Closed Access | Times Cited: 55
Multivariate Machine Learning Analyses in Identification of Major Depressive Disorder Using Resting-State Functional Connectivity: A Multicentral Study
Yachen Shi, Linhai Zhang, Zan Wang, et al.
ACS Chemical Neuroscience (2021) Vol. 12, Iss. 15, pp. 2878-2886
Closed Access | Times Cited: 41
A systematic review on the potential use of machine learning to classify major depressive disorder from healthy controls using resting state fMRI measures
Elena Bondi, Eleonora Maggioni, Paolo Brambilla, et al.
Neuroscience & Biobehavioral Reviews (2022) Vol. 144, pp. 104972-104972
Closed Access | Times Cited: 37
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 17
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Zhiyi Chen, Bowen Hu, Xuerong Liu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17
Shared and specific dynamics of brain segregation and integration in bipolar disorder and major depressive disorder: A resting-state functional magnetic resonance imaging study
Zhenye Luo, Guanmao Chen, Yanbin Jia, et al.
Journal of Affective Disorders (2020) Vol. 280, pp. 279-286
Closed Access | Times Cited: 43
Identification of suicidality in patients with major depressive disorder via dynamic functional network connectivity signatures and machine learning
Manxi Xu, Xiaojing Zhang, Yanqing Li, et al.
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity
V. Sujitha, Mikhail Votinov, Lisa Wagels, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 14
Cerebral cortical functional hyperconnectivity in a mouse model of spinocerebellar ataxia type 8 (SCA8)
Angela K. Nietz, Laurentiu S. Popa, Russell E. Carter, et al.
Neurobiology of Disease (2025), pp. 106795-106795
Open Access
Disease-specific alterations of effective connectivity across anti-correlated networks in major depressive disorder and bipolar disorder
Yun‐Shuang Fan, S. Zhang, Wei Sheng, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2025), pp. 111283-111283
Closed Access
Effects of sleep quality on the default mode network and on anxiety- depression symptoms in premenstrual syndrome
Haixia Qin, Yan Zhang, Shanshan Li, et al.
Research Square (Research Square) (2025)
Closed Access
Predicting depression severity using effective and functional brain connectivity of the electroencephalography signals
Naif H. Alotaibi, Dalal M. Bakheet
Computers in Biology and Medicine (2025) Vol. 190, pp. 110045-110045
Closed Access
The alterations of brain functional connectivity networks in major depressive disorder detected by machine learning through multisite rs-fMRI data
Peishan Dai, Tong Xiong, Xiaoyan Zhou, et al.
Behavioural Brain Research (2022) Vol. 435, pp. 114058-114058
Closed Access | Times Cited: 19
Identifying resting‐state effective connectivity abnormalities in drug‐naïve major depressive disorder diagnosis via graph convolutional networks
Eunji Jun, Kyoung‐Sae Na, Wooyoung Kang, et al.
Human Brain Mapping (2020) Vol. 41, Iss. 17, pp. 4997-5014
Open Access | Times Cited: 29
Disruptions in segregation mechanisms in fMRI-based brain functional network predict the major depressive disorder condition
Vladimir Khorev, Semen Kurkin, Gabriella Zlateva, et al.
Chaos Solitons & Fractals (2024) Vol. 188, pp. 115566-115566
Closed Access | Times Cited: 3
Abstract Representations of Emotions Perceived From the Face, Body, and Whole-Person Expressions in the Left Postcentral Gyrus
Linjing Cao, Junhai Xu, Xiaoli Yang, et al.
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 29
Mapping Internet gaming disorder using effective connectivity: A spectral dynamic causal modeling study
Min Wang, Hui Zheng, Xiaoxia Du, et al.
Addictive Behaviors (2018) Vol. 90, pp. 62-70
Closed Access | Times Cited: 24
Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis
Zehua Zhang, Jiaqi Ding, Junhai Xu, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 1, pp. 209-217
Closed Access | Times Cited: 21
Elevated Amygdala Activity in Young Adults With Familial Risk for Depression: A Potential Marker of Low Resilience
Tracy Barbour, Avram J. Holmes, Amy Farabaugh, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2019) Vol. 5, Iss. 2, pp. 194-202
Open Access | Times Cited: 20
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