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:

Effect of risk, expectancy, and trust on clinicians’ intent to use an artificial intelligence system -- Blood Utilization Calculator
Avishek Choudhury, Onur Asan, Joshua E. Medow
Applied Ergonomics (2022) Vol. 101, pp. 103708-103708
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Priorities for successful use of artificial intelligence by public health organizations: a literature review
Stacey Fisher, Laura C. Rosella
BMC Public Health (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 73

Could AI Ethical Anxiety, Perceived Ethical Risks and Ethical Awareness About AI Influence University Students’ Use of Generative AI Products? An Ethical Perspective
Wenjuan Zhu, Lei Huang, Xinni Zhou, et al.
International Journal of Human-Computer Interaction (2024), pp. 1-23
Closed Access | Times Cited: 22

Factors influencing the adoption of artificial intelligence systems: a systematic literature review
Ahmad A. Khanfar, Reza Kiani Mavi, Mohammad Iranmanesh, et al.
Management Decision (2025)
Closed Access | Times Cited: 4

Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?
Min Wu, Nanxi Wang, Kum Fai Yuen
Technological Forecasting and Social Change (2023) Vol. 189, pp. 122384-122384
Closed Access | Times Cited: 36

Quality of Interaction Between Clinicians and Artificial Intelligence Systems. A Systematic Review
Argyrios Perivolaris, Chris Adams-McGavin, Yasmine Madan, et al.
Future Healthcare Journal (2024) Vol. 11, Iss. 3, pp. 100172-100172
Open Access | Times Cited: 12

Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review
Ruth Evans, Louise Bryant, Gregor Russell, et al.
International Journal of Medical Informatics (2024) Vol. 183, pp. 105342-105342
Open Access | Times Cited: 10

Trust in artificial intelligence, trust in engineers, and news media: Factors shaping public perceptions of autonomous drones through UTAUT2
Shirley S. Ho, Justin Chun Ting Cheung
Technology in Society (2024) Vol. 77, pp. 102533-102533
Closed Access | Times Cited: 10

Combining topic modeling and bibliometric analysis to understand the evolution of technological innovation adoption in the healthcare industry
Nicola Cobelli, Silvia Blasi
European Journal of Innovation Management (2024) Vol. 27, Iss. 9, pp. 127-149
Open Access | Times Cited: 8

Health Professionals' Perspectives on the Use of Artificial Intelligence in Healthcare: A Systematic Review
Rakesh Kumar Sahoo, Krushna Chandra Sahoo, Sapna Negi, et al.
Patient Education and Counseling (2025), pp. 108680-108680
Closed Access | Times Cited: 1

The precursors of AI adoption in business: Towards an efficient decision-making and functional performance
Abdullah M. Baabdullah
International Journal of Information Management (2023) Vol. 75, pp. 102745-102745
Closed Access | Times Cited: 17

Deep versus superficial anthropomorphism: Exploring their effects on human trust in shared autonomous vehicles
Min Wu, Nanxi Wang, Kum Fai Yuen
Computers in Human Behavior (2022) Vol. 141, pp. 107614-107614
Closed Access | Times Cited: 27

Clinician Trust in Artificial Intelligence
Juan C. Rojas, Mario D. Terán, Craig A. Umscheid
Critical Care Clinics (2023) Vol. 39, Iss. 4, pp. 769-782
Closed Access | Times Cited: 13

Citizens’ intention to follow recommendations from a government-supported AI-enabled system
Yi-Fan Wang, Yu‐Che Chen, Shih‐Yi Chien
Public Policy and Administration (2023)
Closed Access | Times Cited: 13

Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care
Yа. A. Orlova, Zh. A. Аkopyan, A. G. Plisyuk, et al.
BMC Health Services Research (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 12

Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study
Nuša Farič, Susan Hinder, Robin Williams, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 1, pp. 24-34
Open Access | Times Cited: 12

Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study
Yanhua Chen, Ziye Wu, Peicheng Wang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e48249-e48249
Open Access | Times Cited: 11

Enhancing teachers’ job satisfaction through the artificial intelligence utilization
Nimesh P. Bhojak, Mohammadali Momin, Dhimen Jani, et al.
Journal of Applied Research in Higher Education (2025)
Closed Access

Mind the gap: unveiling the advantages and challenges of artificial intelligence in the healthcare ecosystem
Simona Curiello, Enrica Iannuzzi, Dirk Meissner, et al.
European Journal of Innovation Management (2025)
Closed Access

Quid pro Quo: Information Disclosure for AI Feedback in Human-AI Collaboration
Izabel Cvetković, Imke Grashoff, Ana Jovančević, et al.
Computers in Human Behavior Artificial Humans (2025), pp. 100137-100137
Open Access

Barriers to and facilitators of clinician acceptance and use of artificial intelligence in healthcare settings: a scoping review
Catherine E.A. Scipion, Margaret A Manchester, Alex D. Federman, et al.
BMJ Open (2025) Vol. 15, Iss. 4, pp. e092624-e092624
Open Access

Theory of trust and acceptance of artificial intelligence technology (TrAAIT): An instrument to assess clinician trust and acceptance of artificial intelligence
Alexander Stevens, Peter D. Stetson
Journal of Biomedical Informatics (2023) Vol. 148, pp. 104550-104550
Closed Access | Times Cited: 9

The shift from disease-centric to patient-centric healthcare: Assessing physicians’ intention to use AI doctors
Ali Osman Uymaz, Pelin Uymaz, Yakup Akgül
Environment and Social Psychology (2024) Vol. 9, Iss. 4
Open Access | Times Cited: 3

Determinants of artificial intelligence adoption: research themes and future directions
Ahmad A. Khanfar, Reza Kiani Mavi, Mohammad Iranmanesh, et al.
Information Technology and Management (2024)
Open Access | Times Cited: 3

Clinicians’ Perceptions of an Artificial Intelligence–Based Blood Utilization Calculator: Qualitative Exploratory Study
Avishek Choudhury, Onur Asan, Joshua E. Medow
JMIR Human Factors (2022) Vol. 9, Iss. 4, pp. e38411-e38411
Open Access | Times Cited: 14

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