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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:

Predictors of remission from body dysmorphic disorder after internet-delivered cognitive behavior therapy: a machine learning approach
Oskar Flygare, Jesper Enander, Erik Andersson, et al.
BMC Psychiatry (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

The promise of machine learning in predicting treatment outcomes in psychiatry
Adam M. Chekroud, Julia Bondar, Jaime Delgadillo, et al.
World Psychiatry (2021) Vol. 20, Iss. 2, pp. 154-170
Open Access | Times Cited: 341
Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies
Sandra Vieira, Xinyi Liang, Raquel Guiomar, et al.
Clinical Psychology Review (2022) Vol. 97, pp. 102193-102193
Open Access | Times Cited: 49
Not just “big” data: Importance of sample size, measurement error, and uninformative predictors for developing prognostic models for digital interventions
Mary McNamara, Mackenzie Zisser, Christopher G. Beevers, et al.
Behaviour Research and Therapy (2022) Vol. 153, pp. 104086-104086
Open Access | Times Cited: 39
Who benefits from guided internet-based interventions? A systematic review of predictors and moderators of treatment outcome
Katrin Haller, Pauline Becker, Helen Niemeyer, et al.
Internet Interventions (2023) Vol. 33, pp. 100635-100635
Open Access | Times Cited: 25
A primer on the use of machine learning to distil knowledge from data in biological psychiatry
Thomas P. Quinn, Jonathan Hess, Victoria S. Marshe, et al.
Molecular Psychiatry (2024) Vol. 29, Iss. 2, pp. 387-401
Closed Access | Times Cited: 11
Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review
Gilmar Gutiérrez, Callum Stephenson, Jazmin Eadie, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 10
Effectiveness of Multimodal Treatment for Young People With Body Dysmorphic Disorder in Two Specialist Clinics
Daniel Rautio, Martina Gumpert, Amita Jassi, et al.
Behavior Therapy (2022) Vol. 53, Iss. 5, pp. 1037-1049
Open Access | Times Cited: 22
Predicting response to a smartphone-based cognitive-behavioral therapy for body dysmorphic disorder
Jennifer L. Greenberg, Hilary Weingarden, Susanne S. Hoeppner, et al.
Journal of Affective Disorders (2024) Vol. 355, pp. 106-114
Closed Access | Times Cited: 4
Integration of AI into psychodermatology: concern for racial bias
Nina Modanlo, Mohammad Jafferany
Archives of Dermatological Research (2025) Vol. 317, Iss. 1
Closed Access
Social Media Dysmorphia
Roxana Shirazi, Eric J. Beltrami, Alexa Cohen, et al.
Advances in Cosmetic Surgery (2025)
Closed Access
Predictors and moderators of symptom change during cognitive-behavioral therapy or supportive psychotherapy for body dysmorphic disorder
Katharine A. Phillips, Jennifer L. Greenberg, Susanne S. Hoeppner, et al.
Journal of Affective Disorders (2021) Vol. 287, pp. 34-40
Open Access | Times Cited: 22
What the future holds: Machine learning to predict success in psychotherapy
Friedrich-Samuel Taubitz, Björn Büdenbender, Georg W. Alpers
Behaviour Research and Therapy (2022) Vol. 156, pp. 104116-104116
Closed Access | Times Cited: 16
An exploratory application of machine learning methods to optimize prediction of responsiveness to digital interventions for eating disorder symptoms
Jake Linardon, Matthew Fuller‐Tyszkiewicz, Adrian Shatte, et al.
International Journal of Eating Disorders (2022) Vol. 55, Iss. 6, pp. 845-850
Open Access | Times Cited: 16
Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety
Niranjani Prasad, Isabel Chien, Tim Regan, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0272685-e0272685
Open Access | Times Cited: 9
Optimizing precision medicine for second-step depression treatment: a machine learning approach
Joshua Curtiss, Jordan W. Smoller, Paola Pedrelli
Psychological Medicine (2024), pp. 1-8
Closed Access | Times Cited: 3
Rates of remission, sustained remission, and recurrence in a randomized controlled trial of cognitive behavioral therapy versus supportive psychotherapy for body dysmorphic disorder
Hilary Weingarden, Susanne S. Hoeppner, Ívar Snorrason, et al.
Depression and Anxiety (2021) Vol. 38, Iss. 7, pp. 700-707
Open Access | Times Cited: 19
Internet-Based Treatment of Body Dysmorphic Disorder
Katrin Schoenenberg, Katharina Bosbach, Harald Baumeister, et al.
The Journal of Nervous and Mental Disease (2023) Vol. 211, Iss. 9, pp. 686-695
Closed Access | Times Cited: 8
Credibility and expectancy of smartphone-based cognitive behavioral therapy among adults with body dysmorphic disorder
Emily E. Bernstein, Hilary Weingarden, Jennifer L. Greenberg, et al.
Journal of Obsessive-Compulsive and Related Disorders (2023) Vol. 36, pp. 100781-100781
Open Access | Times Cited: 7
Cognitive and clinical predictors of a long-term course in obsessive compulsive disorder: A machine learning approach in a prospective cohort study
Cinto Segalàs, Eva Cernadas, M. Puialto, et al.
Journal of Affective Disorders (2024) Vol. 350, pp. 648-655
Closed Access | Times Cited: 2
Advancing Psychosocial Treatment for Body Dysmorphic Disorder: A State-of-the-Science Review
Geneva Jonathan, Caroline H. Armstrong, Peyton Miyares, et al.
Behavior Therapy (2024) Vol. 55, Iss. 6, pp. 1249-1288
Closed Access | Times Cited: 2
Artificial intelligence in psychodermatology: A brief report of applications and impact in clinical practice
Isabella J. Tan, Olivia Katamanin, Rachel K. Greene, et al.
Skin Research and Technology (2024) Vol. 30, Iss. 9
Open Access | Times Cited: 2
Predictors of pharmacotherapy outcomes for body dysmorphic disorder: a machine learning approach
Joshua Curtiss, Emily E. Bernstein, Sabine Wilhelm, et al.
Psychological Medicine (2022) Vol. 53, Iss. 8, pp. 3366-3376
Open Access | Times Cited: 11
Early response to cognitive behavioral therapy for body dysmorphic disorder as a predictor of outcomes
Jennifer L. Greenberg, Nicholas C. Jacobson, Susanne S. Hoeppner, et al.
Journal of Psychiatric Research (2022) Vol. 152, pp. 7-13
Open Access | Times Cited: 11
Mechanisms of cognitive behavioral therapy vs. supportive psychotherapy in body dysmorphic disorder: An exploratory mediation analysis
Jennifer L. Greenberg, Katharine A. Phillips, Susanne S. Hoeppner, et al.
Behaviour Research and Therapy (2023) Vol. 161, pp. 104251-104251
Open Access | Times Cited: 6
Predictors and moderators of treatment response in cognitive behavioural therapy for body dysmorphic disorder: A systematic review
Elizabeth Hogg, Panagiotis G. Adamopoulos, Georgina Krebs
Journal of Obsessive-Compulsive and Related Disorders (2023) Vol. 38, pp. 100822-100822
Open Access | Times Cited: 6
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