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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:

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

Showing 22 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: 128
Deep learning in neuroimaging data analysis: Applications, challenges, and solutions
Lev Kiar Avberšek, Grega Repovš
Frontiers in Neuroimaging (2022) Vol. 1
Open Access | Times Cited: 31
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: 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
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
A Survey of the Interpretability Aspect of Deep Learning Models
Eliot Spitzer, Rona Miles
Journal of Biomedical and Sustainable Healthcare Applications (2023), pp. 56-65
Open Access | Times Cited: 9
An effective diagnosis of schizophrenia using kernel ridge regression-based optimized RVFL classifier
Sirigineedi A. Varaprasad, Tripti Goel, M. Tanveer, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111457-111457
Closed Access | Times Cited: 3
Gray level co-occurrence matrix and extreme learning machine for Alzheimer's disease diagnosis
Shuangshuang Gao
International Journal of Cognitive Computing in Engineering (2021) Vol. 2, pp. 116-129
Open Access | Times Cited: 20
Automated Rest EEG-Based Diagnosis of Depression and Schizophrenia Using a Deep Convolutional Neural Network
Zhiming Wang, Jingwen Feng, Rui Jiang, et al.
IEEE Access (2022) Vol. 10, pp. 104472-104485
Open Access | Times Cited: 11
Neuroimaging characterization of multiple sclerosis lesions in pediatric patients: an exploratory radiomics approach
Ricardo Faustino, Cristina Lopes, Afonso Jantarada, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Magnetic resonance texture analysis reveals stagewise nonlinear alterations of the frontal gray matter in patients with early psychosis
Sun‐Young Moon, Hyungyou Park, Won Yong Lee, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 12, pp. 5309-5318
Closed Access | Times Cited: 4
Brain texture as a marker of transdiagnostic clinical profiles in patients with recent-onset psychosis and depression
Αλεξάνδρα Κορδά, Christina Andreou, Anne Ruef, et al.
Nature Mental Health (2024) Vol. 2, Iss. 1, pp. 76-87
Open Access | Times Cited: 1
Identification of texture MRI brain abnormalities on Fibromyalgia syndrome using interpretable machine learning models
Hongyang Jiang, Aihui Liu, Zhenhua Ying
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A Novel Fusion System Based on Iris and Ear Biometrics for E-exams
S. A. Shaban, Hosnia M. M. Ahmed, D. L. Elsheweikh
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 3, pp. 3295-3315
Open Access | Times Cited: 4
Advances in Using MRI to Estimate the Risk of Future Outcomes in Mental Health - Are We Getting There?
Aleix Solanes, Joaquim Raduà
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 3
Fusion model of gray level co-occurrence matrix and convolutional neural network faced for histopathological images
Shanxiang Wang, Xiaoxue Zhao, Hao Guo, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 10
Closed Access
Stress recognition identifying relevant facial action units through explainable artificial intelligence and machine learning
Giorgos Giannakakis, Anastasios Roussos, Christina Andreou, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 259, pp. 108507-108507
Closed Access
Deep learning system for brain image-aided diagnosis of multiple major mental disorders
Qingfeng Li, Wengzheng Wang, Qian Guo, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Radiomic features of gray matter in never-treated first-episode schizophrenia
Fei Zhu, Yuan Xiao, Tao Bo, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 10, pp. 5957-5967
Closed Access | Times Cited: 2
Brain texture as a marker of transdiagnostic clinical profiles in patients with recent-onset psychosis and depression
Αλεξάνδρα Κορδά, Christina Andreou, Anne Ruef, et al.
Research Square (Research Square) (2023)
Open Access
Identification of texture MRI brain abnormalities on first-episode psychosis and clinical high-risk patients using explainable artificial intelligence
Αλεξάνδρα Κορδά, Christina Andreou, Helena Rogg, et al.
Research Square (Research Square) (2022)
Open Access
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