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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:

Determinants of the intention to use e-Health by community dwelling older people
A.J.E. de Veer, J. Peeters, A. Brabers, et al.
BMC Health Services Research (2015) Vol. 15, Iss. 1
Open Access | Times Cited: 281

Showing 1-25 of 281 citing articles:

Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model
Miha Cimperman, Maja Makovec Brenčić, Peter Trkman
International Journal of Medical Informatics (2016) Vol. 90, pp. 22-31
Open Access | Times Cited: 515
Barriers and facilitators to the use of e-health by older adults: a scoping review
Jessica Wilson, Milena Heinsch, David Betts, et al.
BMC Public Health (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 414
Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review
Lorenz Harst, Hendrikje Lantzsch, Madlen Scheibe
Journal of Medical Internet Research (2019) Vol. 21, Iss. 5, pp. e13117-e13117
Open Access | Times Cited: 283
A mixed methods UTAUT2-based approach to assess mobile health adoption
Paulo Duarte, José Carlos Pinho
Journal of Business Research (2019) Vol. 102, pp. 140-150
Open Access | Times Cited: 249
The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context
Wissal Ben Arfi, Imed Ben Nasr, Galina Kondrateva, et al.
Technological Forecasting and Social Change (2021) Vol. 167, pp. 120688-120688
Open Access | Times Cited: 217
Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey
Yiyu Zhang, Chaoyuan Liu, Shuoming Luo, et al.
Journal of Medical Internet Research (2019) Vol. 21, Iss. 8, pp. e15023-e15023
Open Access | Times Cited: 187
Technology Acceptance in Healthcare: A Systematic Review
Adi Ahmad AlQudah, Mostafa Al‐Emran, Khaled Shaalan
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10537-10537
Open Access | Times Cited: 184
Factors Influencing the Continuance Intention to Use Accounting Information System in Jordanian SMEs from the Perspectives of UTAUT: Top Management Support and Self-Efficacy as Predictor Factors
Abdalwali Lutfi
Economies (2022) Vol. 10, Iss. 4, pp. 75-75
Open Access | Times Cited: 83
Digital Engagement of Older Adults: Scoping Review
Abraham Sahilemichael Kebede, Lise‐Lotte Ozolins, Hanna Holst, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 12, pp. e40192-e40192
Open Access | Times Cited: 76
So What About the Post-COVID-19 Era?: Do Users Still Adopt FinTech Products?
Manaf Al‐Okaily
International Journal of Human-Computer Interaction (2024), pp. 1-15
Closed Access | Times Cited: 40
Understanding Older People’s Readiness for Receiving Telehealth: Mixed-Method Study
Thijs van Houwelingen, Roelof Ettema, Michelangelo GEF Antonietti, et al.
Journal of Medical Internet Research (2018) Vol. 20, Iss. 4, pp. e123-e123
Open Access | Times Cited: 136
Investigating Factors Affecting Elderly's Intention to Use m-Health Services: An Empirical Study
G. M. Azmal Ali Quaosar, Md. Rakibul Hoque, Yukun Bao
Telemedicine Journal and e-Health (2017) Vol. 24, Iss. 4, pp. 309-314
Closed Access | Times Cited: 128
Visualizing the intellectual structure and evolution of electronic health and telemedicine research
Dongxiao Gu, Tongtong Li, Xiaoyu Wang, et al.
International Journal of Medical Informatics (2019) Vol. 130, pp. 103947-103947
Closed Access | Times Cited: 107
Factors that affect health information technology adoption by seniors: A systematic review
Hamidreza Kavandi, Mirou Jaana
Health & Social Care in the Community (2020) Vol. 28, Iss. 6, pp. 1827-1842
Open Access | Times Cited: 104
Dementia awareness and risk perception in middle-aged and older individuals: baseline results of the MijnBreincoach survey on the association between lifestyle and brain health
Irene Heger, Kay Deckers, Martin P.J. van Boxtel, et al.
BMC Public Health (2019) Vol. 19, Iss. 1
Open Access | Times Cited: 103
Impact of Government Capacity and E-Government Performance on the Adoption of E-Government Services
Isaac Kofi Mensah
International Journal of Public Administration (2019) Vol. 43, Iss. 4, pp. 303-311
Closed Access | Times Cited: 103
Patients’ perceptions of teleconsultation during COVID-19: A cross-national study
Patricia Baudier, Galina Kondrateva, Chantal Ammi, et al.
Technological Forecasting and Social Change (2020) Vol. 163, pp. 120510-120510
Open Access | Times Cited: 102
Patient Adherence to a Mobile Phone–Based Heart Failure Telemonitoring Program: A Longitudinal Mixed-Methods Study
Patrick Ware, Mala Dorai, Heather J. Ross, et al.
JMIR mhealth and uhealth (2019) Vol. 7, Iss. 2, pp. e13259-e13259
Open Access | Times Cited: 96
Examining Internet and eHealth Practices and Preferences: Survey Study of Australian Older Adults With Subjective Memory Complaints, Mild Cognitive Impairment, or Dementia
Haley M LaMonica, Amelia English, Ian B. Hickie, et al.
Journal of Medical Internet Research (2017) Vol. 19, Iss. 10, pp. e358-e358
Open Access | Times Cited: 93
Aging in the Digital Age: Conceptualizing Technology Adoption and Digital Inequalities
Jessica Francis, Christopher Ball, Travis Kadylak, et al.
Springer eBooks (2019), pp. 35-49
Closed Access | Times Cited: 86
Insights into Older Adults’ Technology Acceptance through Meta-Analysis
Qi Ma, Alan H. S. Chan, Pei‐Lee Teh
International Journal of Human-Computer Interaction (2021) Vol. 37, Iss. 11, pp. 1049-1062
Closed Access | Times Cited: 69
The Antecedents of Willingness to Adopt and Pay for the IoT in the Agricultural Industry: An Application of the UTAUT 2 Theory
Yan Shi, Abu Bakkar Siddik, Mohammad Masukujjaman, et al.
Sustainability (2022) Vol. 14, Iss. 11, pp. 6640-6640
Open Access | Times Cited: 68
Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers
Gilbert Sterling Octavius, Ferdi Antonio
International Journal of Telemedicine and Applications (2021) Vol. 2021, pp. 1-24
Open Access | Times Cited: 67
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study
Pedro R. Palos‐Sánchez, José Ramón Saura, Miguel Ángel Ríos Martín, et al.
JMIR mhealth and uhealth (2021) Vol. 9, Iss. 9, pp. e27021-e27021
Open Access | Times Cited: 67
Factors Influencing Continued Usage Behavior on Mobile Health Applications
Pei Wu, Runtong Zhang, Xiaomin Zhu, et al.
Healthcare (2022) Vol. 10, Iss. 2, pp. 208-208
Open Access | Times Cited: 60
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