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.

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Showing 14 citing articles:

Schizophrenia classification using machine learning on resting state EEG signal
Juan Ruiz de Miras, Antonio J. Ibáñez‐Molina, María Felipa Soriano, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104233-104233
Open Access | Times Cited: 71

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

Investigating the association between symptoms and functional activity in brain regions in schizophrenia: A cross-sectional fmri-based neuroimaging study
Indranath Chatterjee, Bisma Hilal
Psychiatry Research Neuroimaging (2024) Vol. 344, pp. 111870-111870
Open Access | Times Cited: 5

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

Multi-modal deep learning from imaging genomic data for schizophrenia classification
Ayush Kanyal, Badhan Mazumder, Vince D. Calhoun, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 4

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

Support Vector Machine-Based Prediction Model for Healthcare Workforce Transition Success Under Decentralization
Atiya Sarakshetrin, Chinakorn Sujimongkol, Daravan Rongmuang, et al.
F1000Research (2025) Vol. 14, pp. 49-49
Open Access

Deep multimodal representations and classification of first-episode psychosis via live face processing
Rahul Singh, Yanlei Zhang, Dhananjay Bhaskar, et al.
Frontiers in Psychiatry (2025) Vol. 16
Open Access

Altered resting-state brain activity in patients with major depression disorder and bipolar disorder: A regional homogeneity analysis
Weijian Han, Yousong Su, Xiangwen Wang, et al.
Journal of Affective Disorders (2025) Vol. 379, pp. 313-322
Closed Access

A neuromarker for deficit syndrome in schizophrenia from a combination of structural and functional magnetic resonance imaging
Ju Gao, Rongtao Jiang, Xiaowei Tang, et al.
CNS Neuroscience & Therapeutics (2023) Vol. 29, Iss. 12, pp. 3774-3785
Open Access | Times Cited: 5

Sentiment Analysis of Customer Reviews Using Support Vector Machine and Smote-Tomek Links For Identify Customer Satisfaction
Dody Indra Sumantiawan, Jatmiko Endro Suseno, Wahyul Amien Syafei
JURNAL SISTEM INFORMASI BISNIS (2023) Vol. 13, Iss. 1, pp. 1-9
Open Access | Times Cited: 4

Comparative Analysis of Machine Learning Techniques via Data Mining in a Railroad Company
Marcelo Carneiro Gonçalves, Elpídio Oscar Benitez Nara, Isabel Martinski dos Santos, et al.
(2023), pp. 655-664
Closed Access | Times Cited: 2

Deep Multimodal Representations and Classification of First-Episode Psychosis via Live Face Processing
Rahul Singh, Yanlei Zhang, Dhananjay Bhaskar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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