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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:

Utilizing Machine Learning on Internet Search Activity to Support the Diagnostic Process and Relapse Detection in Young Individuals With Early Psychosis: Feasibility Study
Michael L. Birnbaum, Prathamesh Kulkarni, Anna Van Meter, et al.
JMIR Mental Health (2020) Vol. 7, Iss. 9, pp. e19348-e19348
Open Access | Times Cited: 24

Showing 24 citing articles:

Modern views of machine learning for precision psychiatry
Zhe Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, et al.
Patterns (2022) Vol. 3, Iss. 11, pp. 100602-100602
Open Access | Times Cited: 84
Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study
Kennedy Opoku Asare, Yannik Terhorst, Julio Vega, et al.
JMIR mhealth and uhealth (2021) Vol. 9, Iss. 7, pp. e26540-e26540
Open Access | Times Cited: 99
Machine learning applied to digital phenotyping: A systematic literature review and taxonomy
Marília Pit dos Santos, Wesllei Felipe Heckler, Rodrigo Simon Bavaresco, et al.
Computers in Human Behavior (2024) Vol. 161, pp. 108422-108422
Closed Access | Times Cited: 4
Accuracy of machine learning methods in predicting prognosis of patients with psychotic spectrum disorders: a systematic review
Jing Ling Tay, Yuhao Ang, Wilson Tam, et al.
BMJ Open (2025) Vol. 15, Iss. 2, pp. e084463-e084463
Open Access
Ecological and Momentary Assessment and Intervention for Schizophrenia: Use of Smartphone Apps and Video Games
Takeshi Sakurai, Michel Birnbaum, Yi Han Victoria Chua, et al.
(2025)
Closed Access
Clinical and Cost-Effectiveness of PSYCHOnlineTHERAPY: Study Protocol of a Multicenter Blended Outpatient Psychotherapy Cluster Randomized Controlled Trial for Patients With Depressive and Anxiety Disorders
Harald Baumeister, Natalie Bauereiß, Anna‐Carlotta Zarski, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 23
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
Short-circuiting biology: Digital phenotypes, digital biomarkers, and shifting gazes in psychiatry
Shai Mulinari
Big Data & Society (2023) Vol. 10, Iss. 1, pp. 205395172211456-205395172211456
Open Access | Times Cited: 8
Role of different omics data in the diagnosis of schizophrenia disorder: A machine learning study
Aarthy Varathan, Suntharalingam Senthooran, Pratheeba Jeyananthan
Schizophrenia Research (2024) Vol. 271, pp. 38-46
Closed Access | Times Cited: 2
Psychotic relapse prediction via biomarker monitoring: a systematic review
Anastasios Smyrnis, Christos Theleritis, Panagiotis Ferentinos, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 1
Hyperpolarized Magnetic Resonance and Artificial Intelligence: Frontiers of Imaging in Pancreatic Cancer
José S. Enriquez, Yan Chu, Shivanand Pudakalakatti, et al.
JMIR Medical Informatics (2021) Vol. 9, Iss. 6, pp. e26601-e26601
Open Access | Times Cited: 9
Classifying Schizophrenia Cases by Artificial Neural Network Using Japanese Web-Based Survey Data: Case-Control Study
Yupeng He, Masaaki Matsunaga, Yuanying Li, et al.
JMIR Formative Research (2023) Vol. 7, pp. e50193-e50193
Open Access | Times Cited: 3
Systematic review of early warning signs of relapse and behavioural antecedents of symptom worsening in people living with schizophrenia spectrum disorders
John Gleeson, Thomas B. McGuckian, Daniel Fernández, et al.
Clinical Psychology Review (2023) Vol. 107, pp. 102357-102357
Open Access | Times Cited: 2
Cross-Platform Detection of Psychiatric Hospitalization via Social Media Data: Comparison Study
Viet Cuong Nguyen, Nathaniel Lu, John M. Kane, et al.
JMIR Mental Health (2022) Vol. 9, Iss. 12, pp. e39747-e39747
Open Access | Times Cited: 4
Harnessing Internet Search Data as a Potential Tool for Medical Diagnosis
Gregory J. Downing, Lucas M Tramontozzi, Jackson Garcia, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Internet search data and mental health: promises and pitfalls (Preprint)
Alexandre Andrade Loch, Miranda Wolpert, Lynsey G. Bilsland, et al.
(2024)
Open Access
Systematic review of health research using internet search data
Matthew Thompson, Calvin Chan, Elisabeth Daniels, et al.
Research Square (Research Square) (2024)
Open Access
Harnessing Internet Search Data as a Potential Tool for Medical Diagnosis (Preprint)
Gregory J. Downing, Lucas M Tramontozzi, Jackson Garcia, et al.
(2024)
Open Access
Promises and pitfalls of internet search data and mental health: a critical review (Preprint)
Alexandre Andrade Loch, Roman Kotov
JMIR Mental Health (2024) Vol. 12, pp. e60754-e60754
Open Access
A prognostic model for predicting functional impairment in youth mental health services
Frank Iorfino, Rafael Oliveira, Sally Cripps, et al.
European Psychiatry (2024) Vol. 67, Iss. 1
Open Access
Harnessing Internet Search Data as a Potential Tool for Medical Diagnosis (Preprint)
Gregory J. Downing, Lucas M Tramontozzi, Jackson Garcia, et al.
JMIR Mental Health (2024)
Open Access
Detecting Individuals with Depressive Disorder fromPersonal Google Search and YouTube History Logs
Boyu Zhang, Anis Zaman, Rupam Acharyya, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 3
Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study (Preprint)
Kennedy Opoku Asare, Yannik Terhorst, Julio Vega, et al.
(2020)
Open Access
Modern Views of Machine Learning for Precision Psychiatry
Zhe Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, et al.
(2022)
Open Access
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