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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:

Diagnosing schizophrenia with network analysis and a machine learning method
Young Tak Jo, Sung Woo Joo, Seung‐Hyun Shon, et al.
International Journal of Methods in Psychiatric Research (2020) Vol. 29, Iss. 1
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges
Jetli Chung, Jason Teo
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 121
A Review of Machine Learning and Deep Learning Approaches on Mental Health Diagnosis
Ngumimi Karen Iyortsuun, Soo-Hyung Kim, Min Jhon, et al.
Healthcare (2023) Vol. 11, Iss. 3, pp. 285-285
Open Access | Times Cited: 116
Single classifier vs. ensemble machine learning approaches for mental health prediction
Jetli Chung, Jason Teo
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 46
A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms
E. Syed Mohamed, Tawseef Ahmad Naqishbandi, Syed Ahmad Chan Bukhari, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100185-100185
Open Access | Times Cited: 32
The whole-brain connectome landscape in patients with schizophrenia: A systematic review and meta-analysis of graph theoretical characteristics
Ziyang Gao, Yuan Xiao, Fei Zhu, et al.
Neuroscience & Biobehavioral Reviews (2023) Vol. 148, pp. 105144-105144
Closed Access | Times Cited: 26
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
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: 1
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: 19
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
Application of Artificial Intelligence in the MRI Classification Task of Human Brain Neurological and Psychiatric Diseases: A Scoping Review
Zhao Zhang, Guangfei Li, Yong Xu, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1402-1402
Open Access | Times Cited: 36
Comparison of Machine Learning Algorithms in the Prediction of Hospitalized Patients with Schizophrenia
Susel Góngora Alonso, Gonçalo Marques, Deevyankar Agarwal, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2517-2517
Open Access | Times Cited: 23
Classification of schizophrenia patients using a graph convolutional network: A combined functional MRI and connectomics analysis
Xiaoyi Chen, Jing Zhou, Pengfei Ke, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104293-104293
Closed Access | Times Cited: 22
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
Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network
Guimei Yin, Jie Yuan, Yanjun Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
miRNA-Based Diagnosis of Schizophrenia Using Machine Learning
Vishrut Heda, S. Dogra, Valentina L. Kouznetsova, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 5, pp. 2280-2280
Open Access
Schizophrenia Identification Using Machine Learning Methods with Graph-Theoretic Features
Geng Zhu, Qi Xu, Fengzhu Zhang, et al.
Journal of Shanghai Jiaotong University (Science) (2025)
Closed Access
Behavioral Analytics for Predictive Modeling of Mental Health Disorders: A Review of Machine Learning Techniques and Challenges
Prashant Vats, Pravin R. Kshirsagar, Kamal Upreti, et al.
(2025), pp. 376-381
Closed Access
Advanced Signal Processing Methods for Characterization of Schizophrenia
Kirill Masychev, C. Ciprian, Maryam Ravan, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 4, pp. 1123-1130
Closed Access | Times Cited: 24
Use of Social Media Data to Diagnose and Monitor Psychotic Disorders: Systematic Review
Alban Lejeune, Benoît-Marie Robaglia, Michel Walter, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 9, pp. e36986-e36986
Open Access | Times Cited: 13
Automatic identification of schizophrenia employing EEG records analyzed with deep learning algorithms
Carmen Soria Bretones, Carlos Roncero Parra, J. Cascón, et al.
Schizophrenia Research (2023) Vol. 261, pp. 36-46
Closed Access | Times Cited: 7
Establishment and validation of multiclassification prediction models for pulmonary nodules based on machine learning
Qiao Liu, Xue Qiang Lv, Daiquan Zhou, et al.
The Clinical Respiratory Journal (2024) Vol. 18, Iss. 5
Open Access | Times Cited: 2
Evidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis
Inga Meyhoefer, Andreas Sprenger, David Derad, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Unraveling schizophrenia replicable functional connectivity disruption patterns across sites
Xiaotong Du, Xiaotong Wei, Hao Ding, et al.
Human Brain Mapping (2022) Vol. 44, Iss. 1, pp. 156-169
Open Access | Times Cited: 11
Deep Learning based techniques for Neuro-degenerative disorders detection
Varanasi L. V. S. K. B. Kasyap, Chandra Mohan Dasari
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106103-106103
Closed Access | Times Cited: 6
Bioinformatics and network-based approaches for determining pathways, signature molecules, and drug substances connected to genetic basis of schizophrenia etiology
Umama Khan, Md Habibur Rahman, Md. Salauddin Khan, et al.
Brain Research (2022) Vol. 1785, pp. 147889-147889
Closed Access | Times Cited: 9
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