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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.

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Showing 20 citing articles:

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: 50
Transgender congruence, body appreciation, body dissatisfaction, and disordered eating in Chinese transgender adults
Wesley R. Barnhart, Shuqi Cui, Tianxiang Cui, et al.
International Journal of Eating Disorders (2023) Vol. 56, Iss. 6, pp. 1125-1134
Closed Access | Times Cited: 29
Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder
Sylvane Desrivières, Zuo Zhang, Lauren Robinson, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 4
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
Beyond the screen: The relationships between online activities and eating disorder risk
Xinfang Ding
Eating Behaviors (2025) Vol. 57, pp. 101963-101963
Closed Access
Exploring the links between celebrity worship, body dissatisfaction, and disordered eating among young adult celebrity worshippers in China
Yitong Lin, Lu Chen, Zizhen Huang, et al.
Body Image (2023) Vol. 45, pp. 210-218
Closed Access | Times Cited: 8
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: 2
Gay Dating Apps Usage, Body Dissatisfaction, and Disordered Eating in Chinese Young Gay Men
Bijie Tie, Yinuo Xu, Shuqi Cui, et al.
Journal of Homosexuality (2023) Vol. 71, Iss. 11, pp. 2617-2637
Closed Access | Times Cited: 5
Psychometric properties of an Arabic translation of the Inflexible Eating Questionnaire (IEQ) in a non-clinical sample of adults
Feten Fekih‐Romdhane, Vanessa Azzi, Diana Malaeb, et al.
Journal of Eating Disorders (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 4
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
Exploring the moderating roles of dispositional mindfulness and body image flexibility in the association between body dissatisfaction and disordered eating in Chinese adolescents
Gui Chen, Xingchang Wang, Wesley R. Barnhart, et al.
Journal of Clinical Psychology (2024) Vol. 80, Iss. 9, pp. 1998-2013
Closed Access | Times Cited: 1
The interplay among BMI, body dissatisfaction, body appreciation, and body image inflexibility in Chinese young adults: A network perspective
Guangsheng Liang, Wesley R. Barnhart, Yawei Cheng, et al.
Journal of Contextual Behavioral Science (2023) Vol. 29, pp. 192-201
Closed Access | Times Cited: 3
Association between Body Image Flexibility and Intermittent Fasting in Chinese Medical Students: A Cross-Sectional Study
Xinji Shi, Yibo Wu, Jie Yuan, et al.
Nutrients (2023) Vol. 15, Iss. 19, pp. 4273-4273
Open Access | Times Cited: 3
Intervention Algorithm for College Students' Psychological Problems Based on Decision Tree
Shui Ai
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 1904-1914
Open Access
Predicting Binge Eating Disorder Using Machine Learning Methods
Serel Özmen-Akyol, Ayşegül Bayramoğlu
Afyon Kocatepe University Journal of Sciences and Engineering (2024) Vol. 24, Iss. 5, pp. 1129-1137
Open Access
A Longitudinal Network Analysis of Emotion Regulation, Interpersonal Problems, and Eating Disorder Psychopathology in Chinese Adolescents
Jihong Zhang, Shuqi Cui, Hana F. Zickgraf, et al.
International Journal of Eating Disorders (2024) Vol. 57, Iss. 12, pp. 2415-2426
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‐Garcìa, Marianna Rania, Anna Procopio, et al.
Research Square (Research Square) (2024)
Open Access
Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder
Zuo Zhang, Lauren Robinson, Robert Whelan, et al.
Journal of Affective Disorders (2024)
Open Access
Prevention of eating disorders: 2022 in review
Michael P. Levine
Eating Disorders (2023) Vol. 31, Iss. 2, pp. 106-127
Closed Access | Times Cited: 1
Aplicación de los árboles de decisión en el diagnóstico de Anemia en niños de la ciudad de Arequipa
Indira Agramonte Mayhua, Alex Chaco Huamani, Alexander Valdiviezo Tovar, et al.
Innovación y software (2022) Vol. 3, Iss. 2, pp. 26-39
Open Access
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