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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:

User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews
Katarzyna Stawarz, Chris Preist, Debbie Tallon, et al.
Journal of Medical Internet Research (2018) Vol. 20, Iss. 6, pp. e10120-e10120
Open Access | Times Cited: 209

Showing 26-50 of 209 citing articles:

There is a non-evidence-based app for that: A systematic review and mixed methods analysis of depression- and anxiety-related apps that incorporate unrecognized techniques
Amit Baumel, John Torous, Stav Edan, et al.
Journal of Affective Disorders (2020) Vol. 273, pp. 410-421
Closed Access | Times Cited: 46
Mental Health Apps in Psychiatric Treatment: A Patient Perspective on Real World Technology Usage
Emil Chiauzzi, Amy Newell
JMIR Mental Health (2019) Vol. 6, Iss. 4, pp. e12292-e12292
Open Access | Times Cited: 43
A Gamified Smartphone-Based Intervention for Depression: Randomized Controlled Pilot Trial
Christian Aljoscha Lukas, Bjoern M. Eskofier, Matthias Berking
JMIR Mental Health (2021) Vol. 8, Iss. 7, pp. e16643-e16643
Open Access | Times Cited: 38
What do users think about Virtual Reality relaxation applications? A mixed methods study of online user reviews using natural language processing
Simon Fagernäs, William Hamilton, Nicolás Espinoza, et al.
Internet Interventions (2021) Vol. 24, pp. 100370-100370
Open Access | Times Cited: 34
User Perspectives and Ethical Experiences of Apps for Depression: A Qualitative Analysis of User Reviews
Dionne Bowie-DaBreo, Corina Sas, Heather Iles‐Smith, et al.
CHI Conference on Human Factors in Computing Systems (2022)
Open Access | Times Cited: 23
Considering the Therapeutic Alliance in Digital Mental Health Interventions
Philip Henson, Pamela Peck, John Torous
Harvard Review of Psychiatry (2019) Vol. 27, Iss. 4, pp. 268-273
Closed Access | Times Cited: 37
User Perspectives of Mood-Monitoring Apps Available to Young People: Qualitative Content Analysis
Emily Widnall, Claire Grant, Tao Wang, et al.
JMIR mhealth and uhealth (2020) Vol. 8, Iss. 10, pp. e18140-e18140
Open Access | Times Cited: 34
CBT MobileWork©: User-Centered Development and Testing of a Mobile Mental Health Application for Depression
Judith A. Callan, Jacqueline Dunbar Jacob, Greg J. Siegle, et al.
Cognitive Therapy and Research (2020) Vol. 45, Iss. 2, pp. 287-302
Closed Access | Times Cited: 33
What are you thinking?: Using CBT and Storytelling to Improve Mental Health Among College Students
Aleesha Hamid, Rabiah Arshad, Suleman Shahid
CHI Conference on Human Factors in Computing Systems (2022)
Closed Access | Times Cited: 22
The Goldilocks level of support: Using user reviews, ratings, and installation numbers to investigate digital self-control tools
Ulrik Lyngs, Kai Lukoff, Laura Csuka, et al.
International Journal of Human-Computer Studies (2022) Vol. 166, pp. 102869-102869
Open Access | Times Cited: 22
The Effect of Mental Health App Customization on Depressive Symptoms in College Students: Randomized Controlled Trial
Stephanie G. Six, Kaileigh A. Byrne, Heba Aly, et al.
JMIR Mental Health (2022) Vol. 9, Iss. 8, pp. e39516-e39516
Open Access | Times Cited: 22
Conceptualizing the digital therapeutic alliance in the context of fully automated mental health apps: A thematic analysis
Fangziyun Tong, Reeva Lederman, Simon D’Alfonso, et al.
Clinical Psychology & Psychotherapy (2023) Vol. 30, Iss. 5, pp. 998-1012
Open Access | Times Cited: 11
Digital health interventions for depression and anxiety in low- and middle-income countries: A rapid scoping review (Preprint)
Leena W. Chau, Raymond W. Lam, Harry Minas, et al.
(2025)
Closed Access
Validation and usability assessment of a mobile application on first aid for children for professionals in basic education
Rosana Castelo Branco de Santana, Márcia Maria Carneiro Oliveira, Andressa Silva Carneiro de Souza, et al.
Journal of Education and Health Promotion (2025) Vol. 14, Iss. 1
Open Access
The Anti-Depression computer program: results of an effectiveness study
Olga Troitskaya, Anastasia Batkhina
Experimental Psychology (Russia) (2025) Vol. 18, Iss. 1, pp. 222-240
Open Access
"I Don't Know Why I Should Use This App": Holistic Analysis on User Engagement Challenges in Mobile Mental Health
Seungwan Jin, Bogoan Kim, Kyungsik Han
(2025), pp. 1-23
Closed Access
Effectiveness of Mindfulness-Based Stress Management in The Mental Health of Iranian University Students: A Comparison of Blended Therapy, Face-to-Face Sessions, and mHealth App (Aramgar)
Somaieh Borjalilu, Mohammad Ali Mazaheri, Alireza Talebpour
Iranian Journal of Psychiatry and Behavioral Sciences (2019) Vol. 13, Iss. 2
Open Access | Times Cited: 33
An App-Based Intervention for Caregivers to Prevent Unintentional Injury Among Preschoolers: Cluster Randomized Controlled Trial
Peishan Ning, Peixia Cheng, David C. Schwebel, et al.
JMIR mhealth and uhealth (2019) Vol. 7, Iss. 8, pp. e13519-e13519
Open Access | Times Cited: 32
A Framework-Driven Systematic Review of the Barriers and Facilitators to Teledermatology Implementation
Edwin Dovigi, Elaine Yuen Ling Kwok, Joseph C. English
Current Dermatology Reports (2020) Vol. 9, Iss. 4, pp. 353-361
Open Access | Times Cited: 31
From Ancient Contemplative Practice to the App Store
Kai Lukoff, Ulrik Lyngs, Stefania Gueorguieva, et al.
(2020)
Open Access | Times Cited: 30
Designing a Scalable, Accessible, and Effective Mobile App Based Solution for Common Mental Health Problems
Seung Wan Ha, Jusub Kim
International Journal of Human-Computer Interaction (2020) Vol. 36, Iss. 14, pp. 1354-1367
Closed Access | Times Cited: 29
Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach
Arfan Ahmed, Sarah Aziz, Mohamed Khalifa, et al.
JMIR Formative Research (2021) Vol. 6, Iss. 3, pp. e27654-e27654
Open Access | Times Cited: 27
An Introduction to Core Competencies for the Use of Mobile Apps in Cognitive and Behavioral Practice
Stephen M. Schueller, Christina M. Armstrong, Martha Neary, et al.
Cognitive and Behavioral Practice (2021) Vol. 29, Iss. 1, pp. 69-80
Closed Access | Times Cited: 26
Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review
Alaa Abd‐Alrazaq, Israa Abuelezz, Asma Hassan, et al.
JMIR Serious Games (2022) Vol. 10, Iss. 4, pp. e39840-e39840
Open Access | Times Cited: 17
Wie lassen sich Hürden bei der Versorgung mit digitalen Gesundheitsanwendungen (DiGA) überwinden? Eine Betrachtung des Patientenpfads bei unipolarer Depression
Brit S. Schneider, Florian Koerber, Cordula Kreuzenbeck, et al.
Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz (2025)
Open Access

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