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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:

Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment
Maria Ferrara, Giorgia Franchini, Melissa Funaro, et al.
Current Psychiatry Reports (2022) Vol. 24, Iss. 12, pp. 925-936
Open Access | Times Cited: 15

Showing 15 citing articles:

Predicting antipsychotic responsiveness using a machine learning classifier trained on plasma levels of inflammatory markers in schizophrenia
Jie Yin Yee, S. J. Phua, Yuen Mei See, et al.
Translational Psychiatry (2025) Vol. 15, Iss. 1
Open Access
Sex differences in clozapine prescription: results from an Italian 30-year health records registry
Maria Ferrara, Ilaria Domenicano, Alice Bellagamba, et al.
Journal of Psychiatric Research (2025)
Closed Access
Screening for Psychotic Experiences and Psychotic Disorders in General Mental Health Treatment Settings: A Systematic Review and Meta-Analysis
Jacqueline A. Clauss, Cheryl Yunn Shee Foo, Catherine J. Leonard, et al.
Harvard Review of Psychiatry (2025)
Closed Access
Zero-Shot Strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection
Julia Ohse, Bakir Hadžić, Parvez Mohammed, et al.
Computer Speech & Language (2024) Vol. 88, pp. 101663-101663
Closed Access | Times Cited: 4
Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation
Vladimir Khorev, Anton R. Kiselev, Artem Badarin, et al.
The European Physical Journal Special Topics (2024)
Closed Access | Times Cited: 2
Understanding the Pathophysiology of Mental Diseases and Early Diagnosis Thanks to Electrophysiological Tools: Some Insights and Empirical Facts
Tomiki Sumiyoshi, Salvatore Campanella, Giulia Maria Giordano, et al.
Clinical EEG and Neuroscience (2024)
Closed Access | Times Cited: 1
Prediction of Clinical Outcomes in Psychotic Disorders Using Artificial Intelligence Methods: A Scoping Review
Jing Ling Tay, Kyawt Kyawt Htun, Kang Sim
Brain Sciences (2024) Vol. 14, Iss. 9, pp. 878-878
Open Access | Times Cited: 1
Machine learning from real data: A mental health registry case study
Elisabetta Gentili, Giorgia Franchini, Riccardo Zese, et al.
Computer Methods and Programs in Biomedicine Update (2023) Vol. 5, pp. 100132-100132
Open Access | Times Cited: 3
Establishment of a Public Mental Health Database for Research Purposes in the Ferrara Province: Development and Preliminary Evaluation Study
Maria Ferrara, Elisabetta Gentili, Martino Belvederi Murri, et al.
JMIR Medical Informatics (2023) Vol. 11, pp. e45523-e45523
Open Access | Times Cited: 3
Deep Learning Approach for Predicting Psychodiagnosis
Samia Karoui Zouaoui, Khamari Chahinez
Acta Informatica Pragensia (2024) Vol. 13, Iss. 2, pp. 288-307
Open Access
Predicting antipsychotic responsiveness using a machine learning classifier trained on plasma levels of inflammatory markers in schizophrenia
Jimmy Lee, Jie Yin Yee, S. J. Phua, et al.
Research Square (Research Square) (2024)
Open Access
On the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions
Paweł Karczmarek, Małgorzata Plechawska–Wójcik, Adam Kiersztyn, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Screening for psychotic experiences and psychotic disorders in general psychiatric settings: a systematic review and meta-analysis
Jacqueline A. Clauss, Cheryl Yunn Shee Foo, Catherine J. Leonard, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Supervised Machine Learning for a Novel Autism Prediction Tool in Adults
Sam Brandsen, Shreyas Hallur, Isabelle Andrews, et al.
(2024)
Open Access
Identification of Diagnostic Schizophrenia Biomarkers Based on the Assessment of Immune and Systemic Inflammation Parameters Using Machine Learning Modeling
И. К. Малашенкова, Sergey Krynskiy, Daniil Ogurtsov, et al.
Sovremennye tehnologii v medicine (2023) Vol. 15, Iss. 6, pp. 5-5
Open Access
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