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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:

Who will respond to intensive PTSD treatment? A machine learning approach to predicting response prior to starting treatment
Philip Held, Ryan A. Schubert, Sarah Pridgen, et al.
Journal of Psychiatric Research (2022) Vol. 151, pp. 78-85
Open Access | Times Cited: 9

Showing 9 citing articles:

The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis
Jing Wang, Hui Ouyang, Runda Jiao, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 11
Individual treatment selection for patients with post-traumatic stress disorder: External validation of a personalised advantage index
James Tait, Stephen Kellett, D. H. Saxon, et al.
Psychotherapy Research (2024), pp. 1-14
Open Access | Times Cited: 5
Using machine learning methods to predict the outcome of psychological therapies for post-traumatic stress disorder: A systematic review
James Tait, Stephen Kellett, Jaime Delgadillo
Journal of Anxiety Disorders (2025), pp. 103003-103003
Closed Access
Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome of Narrative Exposure Therapy vs. Dialectical Behavioral Therapy based treatment
Jakob Blaß, Benjamin Iffland, Philipp Herzog, et al.
European journal of psychotraumatology (2025) Vol. 16, Iss. 1
Open Access
Machine learning methods to discriminate posttraumatic stress disorder: A protocol of systematic review and meta-analysis
Jing Wang, Hui Ouyang, Runda Jiao, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Moving toward precision PTSD treatment: predicting veterans' intensive PTSD treatment response using continuously updating machine learning models
Dale L. Smith, Philip Held
Psychological Medicine (2022) Vol. 53, Iss. 12, pp. 5500-5509
Open Access | Times Cited: 5
A prognostic index to predict symptom and functional outcomes of a coached, web-based intervention for trauma-exposed veterans.
Haijing Wu Hallenbeck, Joseph Wielgosz, Zachary D. Cohen, et al.
Psychological Services (2023)
Closed Access | Times Cited: 1
Prediction of future customer needs using machine learning across multiple product categories
David Kilroy, Graham Healy, Simon Caton
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0307180-e0307180
Open Access
Personalized psychotherapy of posttraumatic stress disorder
Carolin Steuwe, Jakob Blaß, Sabine C. Herpertz, et al.
Der Nervenarzt (2023) Vol. 94, Iss. 11, pp. 1050-1058
Open Access
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