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:
Development of a model to predict antidepressant treatment response for depression among Veterans
Victor Puac‐Polanco, Hannah N. Ziobrowski, Eric L. Ross, et al.
Psychological Medicine (2022) Vol. 53, Iss. 11, pp. 5001-5011
Open Access | Times Cited: 8
Victor Puac‐Polanco, Hannah N. Ziobrowski, Eric L. Ross, et al.
Psychological Medicine (2022) Vol. 53, Iss. 11, pp. 5001-5011
Open Access | Times Cited: 8
Showing 8 citing articles:
AI-assisted prediction of differential response to antidepressant classes using electronic health records
Yi-han Sheu, Colin Magdamo, Matthew Miller, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 45
Yi-han Sheu, Colin Magdamo, Matthew Miller, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 45
Advancing toward precision migraine treatment: Predicting responses to preventive medications with machine learning models based on patient and migraine features
Chia‐Chun Chiang, Todd J. Schwedt, Gina Dumkrieger, et al.
Headache The Journal of Head and Face Pain (2024) Vol. 64, Iss. 9, pp. 1094-1108
Closed Access | Times Cited: 6
Chia‐Chun Chiang, Todd J. Schwedt, Gina Dumkrieger, et al.
Headache The Journal of Head and Face Pain (2024) Vol. 64, Iss. 9, pp. 1094-1108
Closed Access | Times Cited: 6
Personalising Antidepressant Treatment for Unipolar Depression Combining Individual Choices, Risks and big Data: The PETRUSHKA Tool: Personnalisation du traitement antidépresseur de la dépression unipolaire associant choix individuels, risques et mégadonnées: l’outil PETRUSHKA
Edoardo G. Ostinelli, Matt Jaquiery, Qiang Liu, et al.
The Canadian Journal of Psychiatry (2025)
Closed Access
Edoardo G. Ostinelli, Matt Jaquiery, Qiang Liu, et al.
The Canadian Journal of Psychiatry (2025)
Closed Access
Improving Mental Health Outcomes in Patients with Major Depressive Disorder in the Gulf States: A Review of the Role of Electronic Enablers in Monitoring Residual Symptoms
Nahida Ahmed, Shuja Reagu, Samia Alkhoori, et al.
Journal of Multidisciplinary Healthcare (2024) Vol. Volume 17, pp. 3341-3354
Open Access | Times Cited: 1
Nahida Ahmed, Shuja Reagu, Samia Alkhoori, et al.
Journal of Multidisciplinary Healthcare (2024) Vol. Volume 17, pp. 3341-3354
Open Access | Times Cited: 1
Development of a model to predict combined antidepressant medication and psychotherapy treatment response for depression among veterans
Robert M. Bossarte, Eric L. Ross, Howard Liu, et al.
Journal of Affective Disorders (2023) Vol. 326, pp. 111-119
Open Access | Times Cited: 1
Robert M. Bossarte, Eric L. Ross, Howard Liu, et al.
Journal of Affective Disorders (2023) Vol. 326, pp. 111-119
Open Access | Times Cited: 1
Toward personalized care for insomnia in the US Army: development of a machine-learning model to predict response to pharmacotherapy
Frances H. Gabbay, Gary H. Wynn, Matthew W. Georg, et al.
Journal of Clinical Sleep Medicine (2023) Vol. 19, Iss. 8, pp. 1399-1410
Open Access | Times Cited: 1
Frances H. Gabbay, Gary H. Wynn, Matthew W. Georg, et al.
Journal of Clinical Sleep Medicine (2023) Vol. 19, Iss. 8, pp. 1399-1410
Open Access | Times Cited: 1
Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia
Frances H. Gabbay, Gary H. Wynn, Matthew W. Georg, et al.
Journal of Clinical Sleep Medicine (2024) Vol. 20, Iss. 6, pp. 921-931
Closed Access
Frances H. Gabbay, Gary H. Wynn, Matthew W. Georg, et al.
Journal of Clinical Sleep Medicine (2024) Vol. 20, Iss. 6, pp. 921-931
Closed Access
Application Value of a Machine Learning Model in Predicting Mild Depression Associated with Migraine without Aura
Sheng-wei Cui, Pei Pei, Wenming Yang
British Journal of Hospital Medicine (2024), pp. 1-12
Closed Access
Sheng-wei Cui, Pei Pei, Wenming Yang
British Journal of Hospital Medicine (2024), pp. 1-12
Closed Access
