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 26-50 of 47 citing articles:

What May Impact Trustworthiness of AI in Digital Healthcare: Discussion from Patients’ Viewpoint
Bijun Wang, Onur Asan, Mo Mansouri
Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care (2023) Vol. 12, Iss. 1, pp. 5-10
Closed Access | Times Cited: 9

Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector
Manisha Goswami, Supriya Jain, Tabish Alam, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 8

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

Healthcare Professionals’ Experience of Using Artificial Intelligence: a Systematic Review with Narrative Synthesis (Preprint)
Abimbola Ayorinde, Daniel Mensah, Julia Walsh, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e55766-e55766
Open Access | Times Cited: 2

Confronting and alleviating AI resistance in the workplace: An integrative review and a process framework
İsmail Gölgeci, Paavo Ritala, Ahmad Arslan, et al.
Human Resource Management Review (2024) Vol. 35, Iss. 2, pp. 101075-101075
Open Access | Times Cited: 2

Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust
Yifei Zhang, Thomas E. Doyle
Frontiers in Robotics and AI (2023) Vol. 10
Open Access | Times Cited: 6

Impact of cognitive workload and situation awareness on clinicians’ willingness to use an artificial intelligence system in clinical practice
Avishek Choudhury, Onur Asan
IISE Transactions on Healthcare Systems Engineering (2022) Vol. 13, Iss. 2, pp. 89-100
Closed Access | Times Cited: 8

Patients’ Perceptions of Integrating AI into Healthcare: Systems Thinking Approach
Bijun Wang, Onur Asan, Mo Mansouri
(2022), pp. 1-6
Closed Access | Times Cited: 8

Human factors considerations for the context-aware design of adaptive autonomous teammates
Allyson I. Hauptman, Rohit Mallick, Christopher Flathmann, et al.
Ergonomics (2024), pp. 1-17
Closed Access | Times Cited: 1

An Empirical Study on the Structural Assurance Mechanism for Trust Building in Autonomous Vehicles Based on the Trust-in-Automation Three-Factor Model
Yanlu Yang, Yiyuan Wang, Jun Liu, et al.
Sustainability (2024) Vol. 16, Iss. 18, pp. 8258-8258
Open Access | Times Cited: 1

Adoption of artificial intelligence artifacts: a literature review
Jie Xiong, Daoyin Sun, Yawei Wang
Universal Access in the Information Society (2023) Vol. 23, Iss. 2, pp. 703-715
Closed Access | Times Cited: 3

Risk Perception, Acceptance, and Trust of Using Artificial Intelligence in Gastroenterology Practice: Survey from the Asia Pacific Region (Preprint)
Wilson Wen Bin Goh, Kendrick Y.A. Chia, Max FK Cheung, et al.
JMIR AI (2023) Vol. 3, pp. e50525-e50525
Open Access | Times Cited: 3

What Factors Contribute to the Acceptance of Artificial Intelligence on Healthcare Sector: A Systematic Review
Gilbert Badia Anugerah, Achmad Nizar Hidayanto
(2023), pp. 477-482
Closed Access | Times Cited: 2

Trust in AI-Based Clinical Decision Support Systems Among Healthcare Workers: A Systematic Review (Preprint)
Hein Minn Tun, Hanif Abdul Rahman, Lin Naing, et al.
Journal of Medical Internet Research (2024)
Open Access

Human-AI Collaboration in Decision Making: An Initial Reliability Study and Methodology
Tetiana Biloborodova, Inna Skarga-Bandurova
(2023), pp. 1151-1155
Closed Access | Times Cited: 1

An Empirical Investigation on Technology Acceptance of AI-Enabled Clinical Decision Support Systems in Nursing Practice
Konstantina Karathanasopoulou, Christina Alexandropoulou, Ilias Panagiotopoulos, et al.
(2023), pp. 1000-1007
Closed Access

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