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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:

Classification of First-Episode Schizophrenia Using Multimodal Brain Features: A Combined Structural and Diffusion Imaging Study
Sugai Liang, Yinfei Li, Zhong Zhang, et al.
Schizophrenia Bulletin (2018) Vol. 45, Iss. 3, pp. 591-599
Open Access | Times Cited: 53

Showing 1-25 of 53 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
Multimodal Classification: Current Landscape, Taxonomy and Future Directions
William C. Sleeman, Rishabh Kapoor, Preetam Ghosh
ACM Computing Surveys (2022) Vol. 55, Iss. 7, pp. 1-31
Open Access | Times Cited: 81
Neurobiology of Schizophrenia: A Comprehensive Review
Enkhmaa Luvsannyam, Molly S Jain, Maria Kezia Lourdes Pormento, et al.
Cureus (2022)
Open Access | Times Cited: 79
Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest
Xia-an Bi, Xi Hu, Hao Wu, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 10, pp. 2973-2983
Closed Access | Times Cited: 116
Anomalous brain gyrification patterns in major psychiatric disorders: a systematic review and transdiagnostic integration
Daiki Sasabayashi, Tsutomu Takahashi, Yoichiro Takayanagi, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 67
Multimodal Fusion of Brain Imaging Data: Methods and Applications
Na Luo, Weiyang Shi, Zhengyi Yang, et al.
Deleted Journal (2024) Vol. 21, Iss. 1, pp. 136-152
Open Access | Times Cited: 12
Estimating Multimodal Structural Brain Variability in Schizophrenia Spectrum Disorders: A Worldwide ENIGMA Study
Wolfgang Omlor, Finn Rabe, Simon Fuchs, et al.
American Journal of Psychiatry (2025)
Closed Access | Times Cited: 1
Improving individual predictions: Machine learning approaches for detecting and attacking heterogeneity in schizophrenia (and other psychiatric diseases)
Hugo G. Schnack
Schizophrenia Research (2017) Vol. 214, pp. 34-42
Closed Access | Times Cited: 73
Structural and diffusion MRI based schizophrenia classification using 2D pretrained and 3D naive Convolutional Neural Networks
Mengjiao Hu, Xing Qian, Siwei Liu, et al.
Schizophrenia Research (2021) Vol. 243, pp. 330-341
Closed Access | Times Cited: 51
A longitudinal neurite and free water imaging study in patients with a schizophrenia spectrum disorder
Nina V. Kraguljac, Thomas Anthony, William S. Monroe, et al.
Neuropsychopharmacology (2019) Vol. 44, Iss. 11, pp. 1932-1939
Open Access | Times Cited: 49
Schizophrenia: A Survey of Artificial Intelligence Techniques Applied to Detection and Classification
Joel Weijia Lai, Candice Ke En Ang, U. Rajendra Acharya, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 6099-6099
Open Access | Times Cited: 39
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: 6
DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction
Pramod Chandrashekar, Sayali Alatkar, Jiebiao Wang, et al.
Genome Medicine (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Predicting response to electroconvulsive therapy combined with antipsychotics in schizophrenia using multi-parametric magnetic resonance imaging
Jie Gong, Long‐Biao Cui, Yi‐Bin Xi, et al.
Schizophrenia Research (2019) Vol. 216, pp. 262-271
Closed Access | Times Cited: 32
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
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
Age-Related Reduction in Cortical Thickness in First-Episode Treatment-Naïve Patients with Schizophrenia
Yin Lin, Mingli Li, Yi Zhou, et al.
Neuroscience Bulletin (2019) Vol. 35, Iss. 4, pp. 688-696
Open Access | Times Cited: 28
Identification of voxel-based texture abnormalities as new biomarkers for schizophrenia and major depressive patients using layer-wise relevance propagation on deep learning decisions
Αλεξάνδρα Κορδά, Anne Ruef, Susanne Neufang, et al.
Psychiatry Research Neuroimaging (2021) Vol. 313, pp. 111303-111303
Open Access | Times Cited: 22
Inferring the Individual Psychopathologic Deficits With Structural Connectivity in a Longitudinal Cohort of Schizophrenia
Yi Sun, Zhe Zhang, Iοannis Kakkos, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 6, pp. 2536-2546
Open Access | Times Cited: 15
Identification of texture MRI brain abnormalities on first-episode psychosis and clinical high-risk subjects using explainable artificial intelligence
Αλεξάνδρα Κορδά, Christina Andreou, Helena Rogg, et al.
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 15
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
Disrupted pathways from limbic areas to thalamus in schizophrenia highlighted by whole-brain resting-state effective connectivity analysis
Minghui Hua, Yanmin Peng, Yuan Zhou, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2019) Vol. 99, pp. 109837-109837
Closed Access | Times Cited: 24
Aberrant posterior cingulate connectivity classify first-episode schizophrenia from controls: A machine learning study
Sugai Liang, Wei Deng, Xiaojing Li, et al.
Schizophrenia Research (2020) Vol. 220, pp. 187-193
Open Access | Times Cited: 21
Sparse deep neural networks on imaging genetics for schizophrenia case–control classification
Jiayu Chen, Xiang Li, Vince D. Calhoun, et al.
Human Brain Mapping (2021) Vol. 42, Iss. 8, pp. 2556-2568
Open Access | Times Cited: 20
Potential diagnostic biomarkers for schizophrenia
Weihua Yue, Hailiang Huang, Jubao Duan
Medical Review (2022) Vol. 2, Iss. 4, pp. 385-416
Open Access | Times Cited: 12
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