Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 515 citing articles:

Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model
Cheng‐Min Chao
Frontiers in Psychology (2019) Vol. 10
Open Access | Times Cited: 814
The role of business analytics capabilities in bolstering firms’ agility and performance
Amir Ashrafi, Ahad Zare Ravasan, Peter Trkman, et al.
International Journal of Information Management (2019) Vol. 47, pp. 1-15
Closed Access | Times Cited: 305
Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF
Hailiang Wang, Da Tao, Na Yu, et al.
International Journal of Medical Informatics (2020) Vol. 139, pp. 104156-104156
Closed Access | Times Cited: 263
Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)
Wenjuan Fan, Jingnan Liu, Shuwan Zhu, et al.
Annals of Operations Research (2018) Vol. 294, Iss. 1-2, pp. 567-592
Closed Access | Times Cited: 254
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
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
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
Healthcare wearable devices: an analysis of key factors for continuous use intention
Sang M. Lee, DonHee Lee
Service Business (2020) Vol. 14, Iss. 4, pp. 503-531
Open Access | Times Cited: 161
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
The impact of literacy on intention to use digital technology for learning: A comparative study of Korea and Finland
Moonkyoung Jang, Milla Aavakare, Shahrokh Nikou, et al.
Telecommunications Policy (2021) Vol. 45, Iss. 7, pp. 102154-102154
Open Access | Times Cited: 123
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
Characterizing Chinese consumers’ intention to use live e-commerce shopping
Min Zhou, Jinlong Huang, Kexin Wu, et al.
Technology in Society (2021) Vol. 67, pp. 101767-101767
Closed Access | Times Cited: 117
Online grocery shopping before and during the COVID-19 pandemic: A meta-analytical review
Olli Tyrväinen, Heikki Karjaluoto
Telematics and Informatics (2022) Vol. 71, pp. 101839-101839
Open Access | Times Cited: 114
I Am too old for this! Barriers contributing to the non-adoption of mobile payment
Tat‐Huei Cham, Jun‐Hwa Cheah, Boon Liat Cheng, et al.
International Journal of Bank Marketing (2021) Vol. 40, Iss. 5, pp. 1017-1050
Closed Access | Times Cited: 112
Modifying UTAUT2 for a cross-country comparison of telemedicine adoption
Anne Schmitz, Ana M. Díaz‐Martín, María Jesús Yagüe Guillén
Computers in Human Behavior (2022) Vol. 130, pp. 107183-107183
Open Access | Times Cited: 90
Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them
Johan Frishammar, Anna Essén, Frida Bergström, et al.
Technological Forecasting and Social Change (2023) Vol. 189, pp. 122319-122319
Open Access | Times Cited: 75
Patient Acceptance of Prescribed and Fully Reimbursed mHealth Apps in Germany: An UTAUT2-based Online Survey Study
Marie Uncovska, Bettina Freitag, Sven Meister, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 66
Student nurses' attitudes, perceived utilization, and intention to adopt artificial intelligence (AI) technology in nursing practice: A cross-sectional study
Leodoro J. Labrague, Rheajane Aguilar-Rosales, Begonia C. Yboa, et al.
Nurse Education in Practice (2023) Vol. 73, pp. 103815-103815
Open Access | Times Cited: 49
Two Decades of M-Commerce Consumer Research: A Bibliometric Analysis Using R Biblioshiny
Packiaraj Thangavel, B. Chandra
Sustainability (2023) Vol. 15, Iss. 15, pp. 11835-11835
Open Access | Times Cited: 45
From human to virtual: Unmasking consumer switching intentions to virtual influencers by an integrated fsQCA and NCA method
Zhucheng Shao
Journal of Retailing and Consumer Services (2024) Vol. 78, pp. 103715-103715
Closed Access | Times Cited: 20
Page 1 - Next Page

Scroll to top