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:
Potential benefits and limitations of machine learning in the field of eating disorders: current research and future directions
Jasmine Fardouly, Ross D. Crosby, Suku Sukunesan
Journal of Eating Disorders (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 48
Jasmine Fardouly, Ross D. Crosby, Suku Sukunesan
Journal of Eating Disorders (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 48
Showing 1-25 of 48 citing articles:
Current Practices and Perspectives of Artificial Intelligence in the Clinical Management of Eating Disorders: Insights From Clinicians and Community Participants
Jake Linardon, Claudia Liu, Mariel Messer, et al.
International Journal of Eating Disorders (2025)
Open Access | Times Cited: 2
Jake Linardon, Claudia Liu, Mariel Messer, et al.
International Journal of Eating Disorders (2025)
Open Access | Times Cited: 2
Differentiation between atypical anorexia nervosa and anorexia nervosa using machine learning
Luis E. Sandoval‐Araujo, Claire E. Cusack, Christina Ralph‐Nearman, et al.
International Journal of Eating Disorders (2024) Vol. 57, Iss. 4, pp. 937-950
Closed Access | Times Cited: 5
Luis E. Sandoval‐Araujo, Claire E. Cusack, Christina Ralph‐Nearman, et al.
International Journal of Eating Disorders (2024) Vol. 57, Iss. 4, pp. 937-950
Closed Access | Times Cited: 5
Leveraging OGTT derived metabolic features to detect Binge-eating disorder in individuals with high weight: a “seek out” machine learning approach
Marianna Rania, Anna Procopio, Paolo Zaffino, et al.
Translational Psychiatry (2025) Vol. 15, Iss. 1
Open Access
Marianna Rania, Anna Procopio, Paolo Zaffino, et al.
Translational Psychiatry (2025) Vol. 15, Iss. 1
Open Access
Beyond the screen: The relationships between online activities and eating disorder risk
Xinfang Ding
Eating Behaviors (2025) Vol. 57, pp. 101963-101963
Closed Access
Xinfang Ding
Eating Behaviors (2025) Vol. 57, pp. 101963-101963
Closed Access
Co-design of a single session intervention chatbot for people on waitlists for eating disorder treatment: a qualitative interview and workshop study
Gemma Sharp, Bronwyn Dwyer, Jue Xie, et al.
Journal of Eating Disorders (2025) Vol. 13, Iss. 1
Open Access
Gemma Sharp, Bronwyn Dwyer, Jue Xie, et al.
Journal of Eating Disorders (2025) Vol. 13, Iss. 1
Open Access
Current Discoveries and Future Implications of Eating Disorders
Bing Feng, Jerney Harms, Emily Chen, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 14, pp. 6325-6325
Open Access | Times Cited: 15
Bing Feng, Jerney Harms, Emily Chen, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 14, pp. 6325-6325
Open Access | Times Cited: 15
Predictors, mediators, and moderators of response to digital interventions for eating disorders: A systematic review
Zoe McClure, Matthew Fuller‐Tyszkiewicz, Mariel Messer, et al.
International Journal of Eating Disorders (2023) Vol. 57, Iss. 5, pp. 1034-1048
Open Access | Times Cited: 15
Zoe McClure, Matthew Fuller‐Tyszkiewicz, Mariel Messer, et al.
International Journal of Eating Disorders (2023) Vol. 57, Iss. 5, pp. 1034-1048
Open Access | Times Cited: 15
Ethical Challenges in AI Approaches to Eating Disorders
Gemma Sharp, John Torous, Madeline West
Journal of Medical Internet Research (2023) Vol. 25, pp. e50696-e50696
Open Access | Times Cited: 12
Gemma Sharp, John Torous, Madeline West
Journal of Medical Internet Research (2023) Vol. 25, pp. e50696-e50696
Open Access | Times Cited: 12
Using Artificial Intelligence to Advance Eating Disorder Research, Treatment and Practice
Jake Linardon, Matthew Fuller‐Tyszkiewicz
International Journal of Eating Disorders (2025)
Closed Access
Jake Linardon, Matthew Fuller‐Tyszkiewicz
International Journal of Eating Disorders (2025)
Closed Access
Machine learning research based on diffusion tensor images to distinguish between anorexia nervosa and bulimia nervosa
Linli Zheng, Yu Wang, Jing Ma, et al.
Frontiers in Psychiatry (2024) Vol. 14
Open Access | Times Cited: 3
Linli Zheng, Yu Wang, Jing Ma, et al.
Frontiers in Psychiatry (2024) Vol. 14
Open Access | Times Cited: 3
Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders
Mark L. Norris, Nicole Obeid, Khaled El Emam
International Journal of Eating Disorders (2024) Vol. 57, Iss. 6, pp. 1357-1368
Closed Access | Times Cited: 3
Mark L. Norris, Nicole Obeid, Khaled El Emam
International Journal of Eating Disorders (2024) Vol. 57, Iss. 6, pp. 1357-1368
Closed Access | Times Cited: 3
An advanced Artificial Intelligence platform for a personalised treatment of Eating Disorders
Francesco Monaco, Annarita Vignapiano, Martina Piacente, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 3
Francesco Monaco, Annarita Vignapiano, Martina Piacente, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 3
Computer Science of Science
Alexander Krauß
Oxford University Press eBooks (2024), pp. 79-82
Closed Access | Times Cited: 3
Alexander Krauß
Oxford University Press eBooks (2024), pp. 79-82
Closed Access | Times Cited: 3
Machine Learning and Pharmacogenomics at the Time of Precision Psychiatry
Antonio Del Casale, Giuseppe Sarli, Paride Bargagna, et al.
Current Neuropharmacology (2023) Vol. 21, Iss. 12, pp. 2395-2408
Open Access | Times Cited: 6
Antonio Del Casale, Giuseppe Sarli, Paride Bargagna, et al.
Current Neuropharmacology (2023) Vol. 21, Iss. 12, pp. 2395-2408
Open Access | Times Cited: 6
When Eating Intuitively Is Not Always a Positive Response: Using Machine Learning to Better Unravel Eaters Profiles
Johana Monthuy‐Blanc, Usef Faghihi, Mahan Najafpour Ghazvini Fardshad, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 16, pp. 5172-5172
Open Access | Times Cited: 4
Johana Monthuy‐Blanc, Usef Faghihi, Mahan Najafpour Ghazvini Fardshad, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 16, pp. 5172-5172
Open Access | Times Cited: 4
Co-Design of a Single Session Intervention Chatbot for People on Waitlists for Eating Disorder Treatment: A Qualitative Interview and Workshop Study (Preprint)
Gemma Sharp, Bronwyn Dwyer, Jue Xie, et al.
(2024)
Open Access | Times Cited: 1
Gemma Sharp, Bronwyn Dwyer, Jue Xie, et al.
(2024)
Open Access | Times Cited: 1
Review of machine learning solutions for eating disorders
Sreejita Ghosh, P. C. Burger, Mladena Simeunovic-Ostojic, et al.
International Journal of Medical Informatics (2024) Vol. 189, pp. 105526-105526
Open Access | Times Cited: 1
Sreejita Ghosh, P. C. Burger, Mladena Simeunovic-Ostojic, et al.
International Journal of Medical Informatics (2024) Vol. 189, pp. 105526-105526
Open Access | Times Cited: 1
The Intersectionality of Factors Predicting Co-occurring Disorders: A Decision Tree Model
Saahoon Hong, Hea‐Won Kim, Betty A. Walton, et al.
International Journal of Mental Health and Addiction (2024)
Closed Access | Times Cited: 1
Saahoon Hong, Hea‐Won Kim, Betty A. Walton, et al.
International Journal of Mental Health and Addiction (2024)
Closed Access | Times Cited: 1
Science of Science
Alexander Krauß
Oxford University Press eBooks (2024)
Closed Access | Times Cited: 1
Alexander Krauß
Oxford University Press eBooks (2024)
Closed Access | Times Cited: 1
Cognitive Science of Science
Alexander Krauß
Oxford University Press eBooks (2024), pp. 33-37
Closed Access | Times Cited: 1
Alexander Krauß
Oxford University Press eBooks (2024), pp. 33-37
Closed Access | Times Cited: 1
User Experiences and Preferences of Self-Guided Digital Interventions for the Treatment of Mild to Moderate Eating Disorders: A Systematic Review and Meta-Synthesis (Preprint)
Lauryn Cheung, Pamela Carien Thomas, Eva Brvar, et al.
JMIR Mental Health (2024)
Open Access | Times Cited: 1
Lauryn Cheung, Pamela Carien Thomas, Eva Brvar, et al.
JMIR Mental Health (2024)
Open Access | Times Cited: 1
Digital health applications for eating disorders treatment
Matthew Fuller‐Tyszkiewicz, Mariel Messer, Isabel Krug, et al.
Trends in Molecular Medicine (2023) Vol. 30, Iss. 4, pp. 324-326
Closed Access | Times Cited: 2
Matthew Fuller‐Tyszkiewicz, Mariel Messer, Isabel Krug, et al.
Trends in Molecular Medicine (2023) Vol. 30, Iss. 4, pp. 324-326
Closed Access | Times Cited: 2
User Experiences and Preferences of Self-Guided Digital Interventions for the Treatment of Mild to Moderate Eating Disorders: A Systematic Review and Meta-Synthesis (Preprint)
Lauryn Cheung, Pamela Carien Thomas, Sarah Rowe
(2024)
Closed Access
Lauryn Cheung, Pamela Carien Thomas, Sarah Rowe
(2024)
Closed Access
Introduction to Neurobiology of Eating Disorders
Hubertus Himmerich, Palmiero Monteleone
Eating Disorders (2024), pp. 1-12
Closed Access
Hubertus Himmerich, Palmiero Monteleone
Eating Disorders (2024), pp. 1-12
Closed Access
Leveraging OGTT derived metabolic features to detect Binge-eating disorder in individuals with high weight: a “seek out” machine learning approach
Cristina Segura‐García, Marianna Rania, Anna Procopio, et al.
Research Square (Research Square) (2024)
Open Access
Cristina Segura‐García, Marianna Rania, Anna Procopio, et al.
Research Square (Research Square) (2024)
Open Access
