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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:

Graph Convolutional Networks Reveal Network-Level Functional Dysconnectivity in Schizophrenia
Du Lei, Kun Qin, Walter Hugo Lopez Pinaya, et al.
Schizophrenia Bulletin (2022) Vol. 48, Iss. 4, pp. 881-892
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia
Haiyuan Wang, Runlin Peng, Yuanyuan Huang, et al.
Brain Research Bulletin (2025) Vol. 221, pp. 111199-111199
Open Access | Times Cited: 2
Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia
Gayathri Sunil, Smruthi Gowtham, Anurita Bose, et al.
BMC Neuroscience (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 9
A Review of Graph Theory-Based Diagnosis of Neurological Disorders Based on EEG and MRI
Ying Yan, Guanting Liu, Haoyang Cai, et al.
Neurocomputing (2024) Vol. 599, pp. 128098-128098
Closed Access | Times Cited: 6
Abnormal regional homogeneity in right caudate as a potential neuroimaging biomarker for mild cognitive impairment: A resting-state fMRI study and support vector machine analysis
Yujun Gao, Xinfu Zhao, Jichao Huang, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 23
Automatic recognition of schizophrenia from brain-network features using graph convolutional neural network
Guimei Yin, Ying Chang, Yanli Zhao, et al.
Asian Journal of Psychiatry (2023) Vol. 87, pp. 103687-103687
Closed Access | Times Cited: 14
Topological Data Analysis for Multivariate Time Series Data
Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao
Entropy (2023) Vol. 25, Iss. 11, pp. 1509-1509
Open Access | Times Cited: 13
IFC-GNN: Combining interactions of functional connectivity with multimodal graph neural networks for ASD brain disorder analysis
Xuan Wang, Xiaotong Zhang, Yang Chen, et al.
Alexandria Engineering Journal (2024) Vol. 98, pp. 44-55
Open Access | Times Cited: 5
Discriminative analysis of schizophrenia patients using graph convolutional networks: A combined multimodal MRI and connectomics analysis
Xiaoyi Chen, Pengfei Ke, Yuanyuan Huang, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 11
A meta-analysis and systematic review of single vs. multimodal neuroimaging techniques in the classification of psychosis
Alexis Porter, Sihan Fei, Katherine S. F. Damme, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 8, pp. 3278-3292
Open Access | Times Cited: 11
Magnetic resonance imaging–based machine learning classification of schizophrenia spectrum disorders: a meta‐analysis
Fabio Di Camillo, David Antonio Grimaldi, Giulia Cattarinussi, et al.
Psychiatry and Clinical Neurosciences (2024)
Open Access | Times Cited: 4
Artificial intelligence in insanity evaluation. Potential opportunities and current challenges
Cristina Scarpazza, Andrea Zangrossi
International Journal of Law and Psychiatry (2025) Vol. 100, pp. 102082-102082
Open Access
Multi-Feature Fusion Method Combining Brain Functional Connectivity and Graph Theory for Schizophrenia Classification and Neuroimaging Markers Screening
Chang Wang, Yaning Ren, Rui Zhang, et al.
Journal of Psychiatric Research (2025) Vol. 183, pp. 260-268
Closed Access
Neurobiologically interpretable causal connectome for predicting young adult depression: A graph neural network study
Sunghwan Kim, Su Hyun Bong, Seokho Yun, et al.
Journal of Affective Disorders (2025) Vol. 377, pp. 225-234
Closed Access
Large language models and psychiatry
Graziella Orrù, Giulia Melis, Giuseppe Sartori
International Journal of Law and Psychiatry (2025) Vol. 101, pp. 102086-102086
Closed Access
A hybrid network based on multi-scale convolutional neural network and bidirectional gated recurrent unit for EEG denoising
Qiang Li, Yan Zhou, Junxiao Ren, et al.
Neuroscience (2025)
Closed Access
Graph Neural Networks and Multimodal DTI Features for Schizophrenia Classification: Insights from Brain Network Analysis and Gene Expression
Jingjing Gao, Heping Tang, Zhengning Wang, et al.
Neuroscience Bulletin (2025)
Closed Access
Disorganized Striatal Functional Connectivity as a Partially Shared Pathophysiological Mechanism in Both Schizophrenia and Major Depressive Disorder: A Transdiagnostic fMRI Study
Yao Zhang, Chengjia Shen, Jiayu Zhu, et al.
Brain Topography (2025) Vol. 38, Iss. 3
Closed Access
Determining the Atlas Correspondence of Desikan-Killiany-Tourville and Glasser MMP1 Atlases across Magnetic Field Strengths
Madison Lewis, Nicholas Theis, Nidhi Girish, et al.
Journal of Neuroscience Methods (2025), pp. 110445-110445
Closed Access
Neuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by Chinese Scholars Around the Past Decade
Yuhui Du, Niu Ju, Ying Xing, et al.
Schizophrenia Bulletin (2024)
Closed Access | Times Cited: 3
Graph neural networks for image‐guided disease diagnosis: A review
Lin Zhang, Yan Zhao, Tongtong Che, et al.
iRadiology (2023) Vol. 1, Iss. 2, pp. 151-166
Open Access | Times Cited: 9
Acquired Pedophilia: international Delphi-method-based consensus guidelines
Cristina Scarpazza, Cristiano Costa, Umberto Battaglia, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome
Hailong Li, Junqi Wang, Zhiyuan Li, et al.
NeuroImage (2024) Vol. 291, pp. 120579-120579
Open Access | Times Cited: 2
Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features
Jingjing Gao, Maomin Qian, Zhengning Wang, et al.
Schizophrenia Bulletin (2024)
Closed Access | Times Cited: 2
Blood-borne extracellular vesicles of bacteria and intestinal cells in patients with psychotic disorders
Mette Elise Tunset, Hanne Haslene‐Hox, Tim Van Den Bossche, et al.
Nordic Journal of Psychiatry (2023) Vol. 77, Iss. 7, pp. 686-695
Open Access | Times Cited: 5
The Combination of a Graph Neural Network Technique and Brain Imaging to Diagnose Neurological Disorders: A Review and Outlook
Shuoyan Zhang, Jiacheng Yang, Ying Zhang, et al.
Brain Sciences (2023) Vol. 13, Iss. 10, pp. 1462-1462
Open Access | Times Cited: 5
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