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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:

Diagnosing schizophrenia with network analysis and a machine learning method
Young Tak Jo, Sung Woo Joo, Seung‐Hyun Shon, et al.
International Journal of Methods in Psychiatric Research (2020) Vol. 29, Iss. 1
Open Access | Times Cited: 47

Showing 26-50 of 47 citing articles:

Functional Connectivity Combined With a Machine Learning Algorithm Can Classify High-Risk First-Degree Relatives of Patients With Schizophrenia and Identify Correlates of Cognitive Impairments
Wenming Liu, Xiao Zhang, Yuting Qiao, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 12
Computer-aided diagnosis of schizophrenia based on node2vec and Transformer
Anan Gan, Anmin Gong, Peng Ding, et al.
Journal of Neuroscience Methods (2023) Vol. 389, pp. 109824-109824
Closed Access | Times Cited: 4
Employing graph attention networks to decode psycho-metabolic interactions in Schizophrenia
Hongyi Yang, Dian Zhu, Yanli Liu, et al.
Psychiatry Research (2024) Vol. 335, pp. 115841-115841
Closed Access | Times Cited: 1
Application of Machine Learning for the Prediction of Etiological Types of Classic Fever of Unknown Origin
Yongjie Yan, Chongyuan Chen, Yunyu Liu, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 10
Accurate neural network classification model for schizophrenia disease based on electroencephalogram data
Miguel Ángel Luján, Jorge Mateo, José Luis Santos, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 3, pp. 861-872
Closed Access | Times Cited: 7
Abnormality of Functional Connections in the Resting State Brains of Schizophrenics
Yan Zhu, Geng Zhu, Bin Li, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 6
Machine Learning for Mental Health: A Systematic Study of Seven Approaches for Detecting Mental Disorders
Muhammad Nadeem, Junaid Rashid, Hyeonjoon Moon, et al.
(2023) Vol. 16, pp. 1-6
Closed Access | Times Cited: 3
A morphological study of schizophrenia with magnetic resonance imaging, advanced analytics, and machine learning
Jacob Levman, Maxwell Jennings, Ethan Rouse, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 5
Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learning
Damien Lekkas, Joseph A. Gyorda, Erika L. Moen, et al.
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0277516-e0277516
Open Access | Times Cited: 5
Violent behavior and the network properties of psychopathological symptoms and real-life functioning in patients with schizophrenia
Lichang Chen, Wenyan Tan, Jun‐Yan Xi, et al.
Frontiers in Psychiatry (2024) Vol. 14
Open Access
Improving Mental Health with Machine Learning: Classification of Mental Disorders Using Local Data
Maria Tamoor, Haziq Ahmed, Ahmad Saad, et al.
(2024)
Open Access
From Data to Diagnosis: Investigating Approaches in Mental Illness Detection
Reem Kadry Montasser, Sherif A. Mazen, Iman M. A. Helal
(2024) Vol. 9, pp. 563-568
Closed Access
ADHD Diagnosis Using Text Features and Predictive Machine Learning and Deep Learning Algorithms
Nizar Alsharif, Mosleh Hmoud Al-Adhaileh, Saleh Nagi Alsubari, et al.
Deleted Journal (2024) Vol. 3, Iss. 7
Closed Access
Psychological Disorder Detection: A Multimodal Approach using a Transformer-Based Hybrid Model
Debadrita Ghosh, Hema Karande, Shilpa Gite, et al.
MethodsX (2024) Vol. 13, pp. 102976-102976
Open Access
Unveiling Hidden Patterns in Speech: Audio Signal-Based Approach for Depression Detection
Debadrita Ghosh, Hema Karande, Shilpa Gite
Lecture notes in networks and systems (2024), pp. 293-309
Closed Access
Network integration and segregation changes in schizophrenia: impact of electroconvulsive therapy
Ningning Ding, Entu Zhang, Yang Liu, et al.
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access
Deep learning for clinical decision-making and improved healthcare outcome
Russell Kabir, Haniya Zehra Syed, Divya Vinnakota, et al.
Elsevier eBooks (2023), pp. 187-201
Closed Access | Times Cited: 1
Machine Learning in Detecting Schizophrenia: An Overview
Gurparsad Singh Suri, Gurleen Kaur, Sara Moein
Intelligent Automation & Soft Computing (2021) Vol. 27, Iss. 3, pp. 723-735
Open Access | Times Cited: 3
A Classification and Pathology Study on Schizophrenia Based on Self-Attention Model
Guibing Li, Weidong Jin, Rude Lin, et al.
(2023), pp. 562-571
Closed Access
Single-label machine learning classification revealed some hidden but inter-related causes of five psychotic disorder diseases
Hilary I. Okagbue, Ogochukwu Ann Ijezie, Paulinus O. Ugwoke, et al.
Heliyon (2023) Vol. 9, Iss. 9, pp. e19422-e19422
Open Access
Aplicación de Técnicas de Machine Learning en la Predicción de Hospitalizaciones y Reingresos de pacientes con Esquizofrenia en Castilla y León
Susel Góngora Alonso
(2023)
Open Access
An Empirical and Statistical Analysis of Regression Algorithms Used for Mental Fitness Prediction
Vibha Jamadagni, Darshana Vedavalli, Surbhi Priyadarshi, et al.
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2023), pp. 805-810
Closed Access
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