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:

Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model
Md. Rakibul Hoque, Golam Sorwar
International Journal of Medical Informatics (2017) Vol. 101, pp. 75-84
Closed Access | Times Cited: 858

Showing 1-25 of 858 citing articles:

Adoption of AI-based chatbots for hospitality and tourism
Rajasshrie Pillai, Brijesh Sivathanu
International Journal of Contemporary Hospitality Management (2020) Vol. 32, Iss. 10, pp. 3199-3226
Closed Access | Times Cited: 594

Aging barriers influencing mobile health usability for older adults: A literature based framework (MOLD-US)
Gaby Anne Wildenbos, Linda Peute, Monique Jaspers
International Journal of Medical Informatics (2018) Vol. 114, pp. 66-75
Closed Access | Times Cited: 385

Barriers and Facilitators to the Implementation of eHealth Services: Systematic Literature Analysis
Björn Schreiweis, Monika Pobiruchin, Veronika Strotbaum, et al.
Journal of Medical Internet Research (2019) Vol. 21, Iss. 11, pp. e14197-e14197
Open Access | Times Cited: 319

Factors influencing the adoption of mHealth services in a developing country: A patient-centric study
Mohammad Zahedul Alam, Md. Rakibul Hoque, Wang Hu, et al.
International Journal of Information Management (2019) Vol. 50, pp. 128-143
Closed Access | Times Cited: 299

Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective
Debajyoti Pal, Suree Funilkul, Nipon Charoenkitkarn, et al.
IEEE Access (2018) Vol. 6, pp. 10483-10496
Open Access | Times Cited: 286

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

Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach
Md. Shamim Talukder, Golam Sorwar, Yukun Bao, et al.
Technological Forecasting and Social Change (2019) Vol. 150, pp. 119793-119793
Open Access | Times Cited: 244

Technology to Support Aging in Place: Older Adults’ Perspectives
Shengzhi Wang, Khalisa Bolling, Wenlin Mao, et al.
Healthcare (2019) Vol. 7, Iss. 2, pp. 60-60
Open Access | Times Cited: 239

Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study
Md. Akram Hossain, Rui Quaresma, Habibur Rahman
International Journal of Information Management (2018) Vol. 44, pp. 76-87
Closed Access | Times Cited: 235

Measurement of Digital Literacy Among Older Adults: Systematic Review
Sarah Soyeon Oh, Kyoung‐A Kim, Minsu Kim, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 2, pp. e26145-e26145
Open Access | Times Cited: 224

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

Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach
Abul Khayer, Md. Shamim Talukder, Yukun Bao, et al.
Technology in Society (2019) Vol. 60, pp. 101225-101225
Closed Access | Times Cited: 215

The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults
Hacer Güner, Cengiz Acartürk
Universal Access in the Information Society (2018) Vol. 19, Iss. 2, pp. 311-330
Closed Access | Times Cited: 197

Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior
Jure Erjavec, Anton Manfreda
Journal of Retailing and Consumer Services (2021) Vol. 65, pp. 102867-102867
Closed Access | Times Cited: 193

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

Mobile technology identity and self-efficacy: Implications for the adoption of clinically supported mobile health apps
Ali Balapour, Iris Reychav, Rajiv Sabherwal, et al.
International Journal of Information Management (2019) Vol. 49, pp. 58-68
Closed Access | Times Cited: 186

Acceptance and use predictors of fitness wearable technology and intention to recommend
Md. Shamim Talukder, Raymond Chiong, Yukun Bao, et al.
Industrial Management & Data Systems (2018) Vol. 119, Iss. 1, pp. 170-188
Closed Access | Times Cited: 181

A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies
Da Tao, Tieyan Wang, Tieshan Wang, et al.
Computers in Human Behavior (2019) Vol. 104, pp. 106147-106147
Closed Access | Times Cited: 170

Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators
Phaik Khee Beh, Yuvaraj Ganesan, Mohammad Iranmanesh, et al.
Behaviour and Information Technology (2019) Vol. 40, Iss. 3, pp. 282-299
Closed Access | Times Cited: 166

An analysis on the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS)
Ahmet Ayaz, Mustafa Yanartaş
Computers in Human Behavior Reports (2020) Vol. 2, pp. 100032-100032
Open Access | Times Cited: 159

Factors influencing behavior intentions to telehealth by Chinese elderly: An extended TAM model
Min Zhou, Lindu Zhao, Nan Kong, et al.
International Journal of Medical Informatics (2019) Vol. 126, pp. 118-127
Closed Access | Times Cited: 158

Emerging-market consumers’ interactions with banking chatbots
Emmanuel Mogaji, Janarthanan Balakrishnan, Arinze Christian Nwoba, et al.
Telematics and Informatics (2021) Vol. 65, pp. 101711-101711
Closed Access | Times Cited: 157

Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach
Mohammad Zahedul Alam, Wang Hu, Md. Abdul Kaium, et al.
Technology in Society (2020) Vol. 61, pp. 101255-101255
Closed Access | Times Cited: 156

Assessing Organizational Users’ Intentions and Behavior to AI Integrated CRM Systems: a Meta-UTAUT Approach
Sheshadri Chatterjee, Nripendra P. Rana, Sangeeta Khorana, et al.
Information Systems Frontiers (2021) Vol. 25, Iss. 4, pp. 1299-1313
Open Access | Times Cited: 122

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