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:

Machine Learning of Schizophrenia Detection with Structural and Functional Neuroimaging
Dafa Shi, Yanfei Li, Haoran Zhang, et al.
Disease Markers (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

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

Evidence for embracing normative modeling
Saige Rutherford, Pieter Barkema, Ivy F. Tso, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 74

Machine Learning for Detecting Parkinson’s Disease by Resting-State Functional Magnetic Resonance Imaging: A Multicenter Radiomics Analysis
Dafa Shi, Haoran Zhang, Guangsong Wang, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 28

Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions
Shradha Verma, Tripti Goel, M. Tanveer, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 5, pp. 4795-4807
Open Access | Times Cited: 21

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

Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning
Osman Tayfun Bişkin, Cemre Candemir, M. Alper Selver
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1717-1717
Open Access

Unveiling Promising Neuroimaging Biomarkers for Schizophrenia Through Clinical and Genetic Perspectives
Jing Guo, Chang-Yi He, Huimiao Song, et al.
Neuroscience Bulletin (2024) Vol. 40, Iss. 9, pp. 1333-1352
Closed Access | Times Cited: 4

Machine learning techniques in diagnostics and prediction of the clinical features of schizophrenia: a narrative review
Vadim R. Gashkarimov, Renata I. Sultanova, I. S. Efremov, et al.
Consortium Psychiatricum (2023) Vol. 4, Iss. 3, pp. 43-53
Open Access | Times Cited: 10

A review and meta-analysis of machine intelligence approaches for mental health issues and depression detection
Ravita Chahar, Ashutosh Kumar Dubey, Sushil Kumar Narang
International Journal of Advanced Technology and Engineering Exploration (2021) Vol. 8, Iss. 83
Open Access | Times Cited: 18

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

Brain disease research based on functional magnetic resonance imaging data and machine learning: a review
Jing Teng, Chunlin Mi, Jian Shi, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6

Building Predictive Models for Schizophrenia Diagnosis with Peripheral Inflammatory Biomarkers
E.A. Kozyrev, Evgeny A. Ermakov, Anastasiia S. Boiko, et al.
Biomedicines (2023) Vol. 11, Iss. 7, pp. 1990-1990
Open Access | Times Cited: 5

An Efficient KNN Algorithm for the Mental Health Performance Assessment Using K-means Clustering
Ravita Chahar, Ashutosh Kumar Dubey, Sushil Kumar Narang
Lecture notes in electrical engineering (2024), pp. 575-586
Closed Access | Times Cited: 1

Deep Transfer Learning for Schizophrenia Detection Using Brain MRI
Siddhant Mudholkar, Amitesh Agrawal, Dilip Singh Sisodia, et al.
Communications in computer and information science (2024), pp. 66-82
Closed Access | Times Cited: 1

Classifying schizophrenic and controls from fMRI data using graph theoretic framework and community detection
Kalaichelvi Nallusamy, K. S. Easwarakumar
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 12, Iss. 1
Closed Access | Times Cited: 3

Meta-analysis of cortical thickness reduction in adult schizophrenia
Shilin Sun, Shu Xiao, Zixuan Guo, et al.
Journal of Psychiatry and Neuroscience (2023) Vol. 48, Iss. 6, pp. E461-E470
Open Access | Times Cited: 3

Classification and Interpretability of Mild Cognitive Impairment Based on Resting-State Functional Magnetic Resonance and Ensemble Learning
Mengjie Hu, Yang Yu, Fangping He, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 5

Neuroimaging biomarkers for detecting schizophrenia: A resting-state functional MRI-based radiomics analysis
Dafa Shi, Haoran Zhang, Guangsong Wang, et al.
Heliyon (2022) Vol. 8, Iss. 12, pp. e12276-e12276
Open Access | Times Cited: 5

Application of artificial intelligence tools in diagnosis and treatmentof mental disorders
Klaudia Kister, Jakub Laskowski, Agata Makarewicz, et al.
Current Problems of Psychiatry (2023) Vol. 24, pp. 1-18
Open Access | Times Cited: 2

Brain Network Analysis of Schizophrenia Patients Based on Hypergraph Signal Processing
Xiaoying Song, K.M. Wu, Li Chai
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 4964-4976
Closed Access | Times Cited: 2

Identification of male schizophrenia patients using brain morphology based on machine learning algorithms
Tao Yu, Wenzhi Pei, Chunyuan Xu, et al.
World Journal of Psychiatry (2024) Vol. 14, Iss. 6, pp. 804-811
Open Access

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