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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:

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

Showing 1-25 of 299 citing articles:

A meta-analysis based modified unified theory of acceptance and use of technology (meta-UTAUT): a review of emerging literature
Yogesh K. Dwivedi, Nripendra P. Rana, Kuttimani Tamilmani, et al.
Current Opinion in Psychology (2020) Vol. 36, pp. 13-18
Open Access | Times Cited: 200
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
The Determinants of Digital Payment Systems’ Acceptance under Cultural Orientation Differences: The Case of Uncertainty Avoidance
Manaf Al‐Okaily, Abdalwali Lutfi, Abdallah Alsaad, et al.
Technology in Society (2020) Vol. 63, pp. 101367-101367
Closed Access | Times Cited: 146
Factors influencing mHealth adoption and its impact on mental well-being during COVID-19 pandemic: A SEM-ANN approach
Mirza Mohammad Didarul Alam, Mohammad Zahedul Alam, Syed Abidur Rahman, et al.
Journal of Biomedical Informatics (2021) Vol. 116, pp. 103722-103722
Open Access | Times Cited: 108
Cloud-based accounting information systems usage and its impact on Jordanian SMEs’ performance: the post-COVID-19 perspective
Manaf Al‐Okaily, Abeer F. Alkhwaldi, Amir A. Abdulmuhsin, et al.
Journal of financial reporting & accounting (2022) Vol. 21, Iss. 1, pp. 126-155
Closed Access | Times Cited: 94
Generation Z use of artificial intelligence products and its impact on environmental sustainability: A cross-cultural comparison
Mohammed A. Al‐Sharafi, Mostafa Al‐Emran, İbrahim Arpacı, et al.
Computers in Human Behavior (2023) Vol. 143, pp. 107708-107708
Closed Access | Times Cited: 85
Does financial awareness increase the acceptance rate for financial inclusion? An empirical examination in the era of digital transformation
Manaf Al‐Okaily, Hamza Alqudah, Anas Ali Al-Qudah, et al.
Kybernetes (2022) Vol. 52, Iss. 11, pp. 4876-4896
Closed Access | Times Cited: 78
Artificial intelligence in marketing: A meta‐analytic review
Pooja Mehta, Charles Jebarajakirthy, Haroon Iqbal Maseeh, et al.
Psychology and Marketing (2022) Vol. 39, Iss. 11, pp. 2013-2038
Closed Access | Times Cited: 71
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
Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework
Mark Anthony Camilleri
Technological Forecasting and Social Change (2024) Vol. 201, pp. 123247-123247
Open Access | Times Cited: 61
A UTAUT-Based Framework for Analyzing Users’ Intention to Adopt Artificial Intelligence in Human Resource Recruitment: A Case Study of Thailand
Tanatorn Tanantong, Piriyapong Wongras
Systems (2024) Vol. 12, Iss. 1, pp. 28-28
Open Access | Times Cited: 21
Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology
Marvello Yang, Abdullah Al Mamun, Jingzu Gao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17
An extension of technology acceptance model for mHealth user adoption
Manindra Rajak, Krishnendu Shaw
Technology in Society (2021) Vol. 67, pp. 101800-101800
Closed Access | Times Cited: 101
An integrated model for using social media applications in non-profit organizations
Hanaa Albanna, Ali Abdallah Alalwan, Mostafa Al‐Emran
International Journal of Information Management (2021) Vol. 63, pp. 102452-102452
Closed Access | Times Cited: 97
Cognitive Chatbot for Personalised Contextual Customer Service: Behind the Scene and beyond the Hype
Rajat Kumar Behera, Pradip Kumar Bala, Arghya Ray
Information Systems Frontiers (2021) Vol. 26, Iss. 3, pp. 899-919
Closed Access | Times Cited: 81
Assessing the Adoption of e-Health Technology in a Developing Country: An Extension of the UTAUT Model
Dongxiao Gu, Salman Khan, Ikram Ullah Khan, et al.
SAGE Open (2021) Vol. 11, Iss. 3
Open Access | Times Cited: 72
Adoption of telemedicine applications among Saudi citizens during COVID-19 pandemic: An alternative health delivery system
Bohari M. Yamin, Bader A. Alyoubi
Journal of Infection and Public Health (2020) Vol. 13, Iss. 12, pp. 1845-1855
Open Access | Times Cited: 71
Customer Brand Engagement through Chatbots on Bank Websites– Examining the Antecedents and Consequences
Harinder Hari, Radha Iyer, Brinda Sampat
International Journal of Human-Computer Interaction (2021) Vol. 38, Iss. 13, pp. 1212-1227
Closed Access | Times Cited: 64
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
Proposing a mobile apps acceptance model for users in the health area: A systematic literature review and meta-analysis
Sami Saeed Binyamin, Bassam Zafar
Health Informatics Journal (2021) Vol. 27, Iss. 1
Open Access | Times Cited: 59
Exposure Detection Applications Acceptance: The Case of COVID-19
Adi Alsyouf, Abdalwali Lutfi, Mohammad Al‐Bsheish, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 12, pp. 7307-7307
Open Access | Times Cited: 57
Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach
Shounak Pal, Baidyanath Biswas, Rohit Gupta, et al.
Journal of Business Research (2022) Vol. 156, pp. 113484-113484
Open Access | Times Cited: 52
Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model
Jahir Uddin Palas, Golam Sorwar, Md. Rakibul Hoque, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 50
Building user engagement to mhealth apps from a learning perspective: Relationships among functional, emotional and social drivers of user value
María Leticia Santos Vijande, Mar Gómez, Arturo Molina, et al.
Journal of Retailing and Consumer Services (2022) Vol. 66, pp. 102956-102956
Open Access | Times Cited: 47
Factors affecting physicians using mobile health applications: an empirical study
Pei Wu, Runtong Zhang, Jing Luan, et al.
BMC Health Services Research (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 45
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