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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:

Utilizing Health Behavior Change and Technology Acceptance Models to Predict the Adoption of COVID-19 Contact Tracing Apps: Cross-sectional Survey Study
Samuel Tomczyk, Simon Barth, Silke Schmidt, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 5, pp. e25447-e25447
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Explaining citizens’ resistance to use digital contact tracing apps: A mixed-methods study
Ashish Viswanath Prakash, Saini Das
International Journal of Information Management (2021) Vol. 63, pp. 102468-102468
Open Access | Times Cited: 67
Predictors of contact tracing app adoption: Integrating the UTAUT, HBM and contextual factors
Nadine Elisa van der Waal, Jan de Wit, Nadine Bol, et al.
Technology in Society (2022) Vol. 71, pp. 102101-102101
Open Access | Times Cited: 30
Privacy and Security in Digital Health Contact-Tracing: A Narrative Review
Shehani Pigera, Paul van Schaik, Karen Renaud, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 865-865
Open Access
Research Trend of the Unified Theory of Acceptance and Use of Technology Theory: A Bibliometric Analysis
Jing Wang, Xinchun Li, Peng Wang, et al.
Sustainability (2021) Vol. 14, Iss. 1, pp. 10-10
Open Access | Times Cited: 35
Adoption of Covid-19 contact tracing app by extending UTAUT theory: Perceived disease threat as moderator
Prasanta Kr Chopdar
Health Policy and Technology (2022) Vol. 11, Iss. 3, pp. 100651-100651
Open Access | Times Cited: 27
Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand “ThaiChana”
Ardvin Kester S. Ong, Thanatorn Chuenyindee, Yogi Tri Prasetyo, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 10, pp. 6111-6111
Open Access | Times Cited: 25
Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand
Ardvin Kester S. Ong, Yogi Tri Prasetyo, Nattakit Yuduang, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 13, pp. 7979-7979
Open Access | Times Cited: 22
Examining the cultural dimension of contact-tracing app adoption during the COVID-19 pandemic: a cross-country study in Singapore and Switzerland
Sarah Geber, Shirley S. Ho
Information Communication & Society (2022) Vol. 26, Iss. 11, pp. 2229-2249
Open Access | Times Cited: 22
Psychosocial predictors of downloading a mobile app promoting healthy and sustainable eating
Italo Azzena, Sara Pompili, Simone Festa, et al.
Cogent Psychology (2025) Vol. 12, Iss. 1
Open Access
Self-management of everyday female health: The role of self-care agency, patient-centered communication, and technology features in the intention to adopt period-tracking apps
Qiwei Wu, Elizabeth Babin Pask
Social Science & Medicine (2025) Vol. 370, pp. 117851-117851
Closed Access
Transformative Pathways in Qatar's E‐Government: Integrating Societal Engagement and NGO Partnerships for Sustainable Digital Governance
Moosa Elayah
Public Administration and Development (2025)
Open Access
mHealth for Mental Health
Nancy Lau, Lola Kola, Xin Zhao, et al.
(2025), pp. 193-205
Closed Access
The roles of privacy concerns and trust in voluntary use of governmental proximity tracing applications
Marina Trkman, Aleš Popovič, Peter Trkman
Government Information Quarterly (2022) Vol. 40, Iss. 1, pp. 101787-101787
Open Access | Times Cited: 21
Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study
Patrik Schretzlmaier, Achim Hecker, Elske Ammenwerth
JMIR Human Factors (2022) Vol. 9, Iss. 1, pp. e34918-e34918
Open Access | Times Cited: 19
Unpacking Intention and Behavior: Explaining Contact Tracing App Adoption and Hesitancy in the United States
Jack Jamieson, Daniel A. Epstein, Yunan Chen, et al.
CHI Conference on Human Factors in Computing Systems (2022)
Open Access | Times Cited: 16
Reasons for Nonuse, Discontinuation of Use, and Acceptance of Additional Functionalities of a COVID-19 Contact Tracing App: Cross-sectional Survey Study
Michel Walrave, Cato Waeterloos, Koen Ponnet
JMIR Public Health and Surveillance (2021) Vol. 8, Iss. 1, pp. e22113-e22113
Open Access | Times Cited: 21
Understanding digital contact tracing app continuance: Insights from India
Ashish Viswanath Prakash, Saini Das, Rajasekharan Pillai
Health Policy and Technology (2021) Vol. 10, Iss. 4, pp. 100573-100573
Closed Access | Times Cited: 21
Resistance to contact tracing applications: The implementation process in a social context
Iris Anna Maria Verpaalen, Rob W. Holland, Simone M. Ritter, et al.
Computers in Human Behavior (2022) Vol. 134, pp. 107299-107299
Open Access | Times Cited: 11
A new approach to digital health? Virtual COVID-19 care: A scoping review
Leinic Chung-Lee, Cristina Catallo
Digital Health (2023) Vol. 9
Open Access | Times Cited: 6
Physical Activity Recommendation System Based on Deep Learning to Prevent Respiratory Diseases
Usharani Bhimavarapu, M. Sreedevi, Nalini Chintalapudi, et al.
Computers (2022) Vol. 11, Iss. 10, pp. 150-150
Open Access | Times Cited: 10
The Influence of Normative Perceptions on the Uptake of the COVID-19 TraceTogether Digital Contact Tracing System: Cross-sectional Study
Jeong Kyu Lee, Lavinia Lin, Hyunjin Kang
JMIR Public Health and Surveillance (2021) Vol. 7, Iss. 11, pp. e30462-e30462
Open Access | Times Cited: 13
A machine learning ensemble approach to predicting factors affecting the intention and usage behavior towards online groceries applications in the Philippines
Ma. Janice J. Gumasing, Ardvin Kester S. Ong, Madeline Anne Patrice C. Sy, et al.
Heliyon (2023) Vol. 9, Iss. 10, pp. e20644-e20644
Open Access | Times Cited: 5
Decision process for digital contact tracing acceptance: a cross-sectional survey based on the elaboration likelihood model
Kuang-Ming Kuo
Multimedia Tools and Applications (2024) Vol. 83, Iss. 26, pp. 68041-68062
Closed Access | Times Cited: 1
Patients’ Intentions to Use a Physician-Provided Digital Health Information Service
Paula Memenga, Elena Link
European Journal of Health Communication (2024) Vol. 5, Iss. 2, pp. 1-22
Open Access | Times Cited: 1
Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact Tracing Applications: Cross-sectional Survey Study (Preprint)
Tim Schrills, Lilian Kojan, Marthe Gruner, et al.
JMIR Human Factors (2024) Vol. 11, pp. e53940-e53940
Open Access | Times Cited: 1
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