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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:

Connecting artificial intelligence and primary care challenges: findings from a multi stakeholder collaborative consultation
Jacqueline K. Kueper, Amanda Terry, Ravninder Bahniwal, et al.
BMJ Health & Care Informatics (2022) Vol. 29, Iss. 1, pp. e100493-e100493
Open Access | Times Cited: 19

Showing 19 citing articles:

Role of ChatGPT and Similar Generative Artificial Intelligence (AI) in Construction Industry
Nitin Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 53
Digital Health Interventions to Improve Access to and Quality of Primary Health Care Services: A Scoping Review
Daniel Asfaw Erku, Resham B. Khatri, Aklilu Endalamaw, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 19, pp. 6854-6854
Open Access | Times Cited: 36
Artificial intelligence for family medicine research in Canada: current state and future directions
Jacqueline K. Kueper, Mahzabeen Emu, Mark Banbury, et al.
Canadian Family Physician (2024) Vol. 70, Iss. 3, pp. 161-168
Open Access | Times Cited: 10
Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?
Amanda Terry, Jacqueline K. Kueper, Ron Beleno, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 36
An introduction to machine learning for classification and prediction
Jason Black, Jacqueline K. Kueper, Tyler Williamson
Family Practice (2022) Vol. 40, Iss. 1, pp. 200-204
Closed Access | Times Cited: 36
Perceptions of Artificial Intelligence Use in Primary Care: A Qualitative Study with Providers and Staff of Ontario Community Health Centres
Danielle M. Nash, Cathy Thorpe, Judith Belle Brown, et al.
The Journal of the American Board of Family Medicine (2023) Vol. 36, Iss. 2, pp. 221-228
Open Access | Times Cited: 17
Access improvement in healthcare: a 12-step framework for operational practice
Allen M. Chen
Frontiers in Health Services (2025) Vol. 4
Open Access
Assessing Physician Motivation to Engage in Continuing Professional Development on Artificial Intelligence
Adam Gavarkovs, Jacqueline K. Kueper, Robert Arntfield, et al.
Journal of Continuing Education in the Health Professions (2025)
Closed Access
What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
Richard A. Young, Carmel M. Martin, Joachim P. Sturmberg, et al.
The Journal of the American Board of Family Medicine (2024) Vol. 37, Iss. 2, pp. 332-345
Open Access | Times Cited: 4
Beliefs, experiences and concerns of using artificial intelligence in healthcare: A qualitative synthesis
Carol-Ann Fazakarley, Maria Breen, Ben Thompson, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Bringing clarity and transparency to the consultative process underpinning the implementation of an ethics framework for AI-based healthcare applications: a qualitative study
Magali Goirand, Elizabeth Austin, Robyn Clay‐Williams
AI and Ethics (2024)
Open Access | Times Cited: 2
Determinants of the implementation of artificial intelligence-based screening for diabetic retinopathy—a cross-sectional study with general practitioners in Germany
Larisa Wewetzer, Linda A. Held, Katja Goetz, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 5
Involving multiple stakeholders in assessing and reviewing a novel data visualisation tool for a national neonatal data asset
William Lammons, Becky Moss, Charlie Bignell, et al.
BMJ Health & Care Informatics (2023) Vol. 30, Iss. 1, pp. e100694-e100694
Open Access | Times Cited: 3
Healthcare artificial intelligence: the road to hell is paved with good intentions
Usman Iqbal, Leo Anthony Celi, Yi‐Hsin Hsu, et al.
BMJ Health & Care Informatics (2022) Vol. 29, Iss. 1, pp. e100650-e100650
Open Access | Times Cited: 5
The Provision and Perceptions of Telemedicine Services Among Traditional Chinese Medicine Practitioners During COVID-19: A Cross-Sectional Study in Hong Kong, China
David Wong, Yushan Wu, Hong Fung, et al.
Telemedicine Journal and e-Health (2024) Vol. 30, Iss. 8, pp. e2335-e2343
Closed Access
Developing an AI Tool to Derive Social Determinants of Health for Primary Care Patients: Qualitative Findings From a Codesign Workshop
Stephanie Garies, Simon Liang, Karen Weyman, et al.
The Annals of Family Medicine (2024) Vol. 22, Iss. 4, pp. 317-324
Open Access
Mapping and summarizing the research on AI systems for automating medical history-taking and triage: a scoping review (Preprint)
Elin Siira, Hanna Johansson, Jens M. Nygren
Journal of Medical Internet Research (2024) Vol. 27, pp. e53741-e53741
Open Access
Artificial Intelligence and Primary Care: A Scoping Review (Preprint)
Gellért Katonai, Arvai Nora, Bertalan Meskó
(2024)
Closed Access
AI-CDSS Design Guidelines and Practice Verification
Xin He, Zheng Xi, Huiyuan Ding, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 18, pp. 5469-5492
Closed Access | Times Cited: 1
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