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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:

Artificial Intelligence and Primary Care Research: A Scoping Review
Jacqueline K. Kueper, Amanda Terry, Merrick Zwarenstein, et al.
The Annals of Family Medicine (2020) Vol. 18, Iss. 3, pp. 250-258
Open Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

Challenges and opportunities beyond structured data in analysis of electronic health records
Maryam Tayefi, Phuong Dinh Ngo, Taridzo Chomutare, et al.
Wiley Interdisciplinary Reviews Computational Statistics (2021) Vol. 13, Iss. 6
Open Access | Times Cited: 156
Artificial Intelligence Applications in Health Care Practice: Scoping Review
Malvika Sharma, Carl Savage, Monika Nair, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 10, pp. e40238-e40238
Open Access | Times Cited: 107
The role of artificial intelligence in enhancing clinical nursing care: A scoping review
Zi Qi Pamela Ng, Li Ying Janice Ling, Han Shi Jocelyn Chew, et al.
Journal of Nursing Management (2021) Vol. 30, Iss. 8, pp. 3654-3674
Open Access | Times Cited: 64
Artificial intelligence, machine learning, and deep learning for clinical outcome prediction
Rowland W. Pettit, Robert Fullem, Chao Cheng, et al.
Emerging Topics in Life Sciences (2021) Vol. 5, Iss. 6, pp. 729-745
Open Access | Times Cited: 57
Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners
Elizabeth Ford, Natalie Edelman, Laura Somers, et al.
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 55
Priorities for Artificial Intelligence Applications in Primary Care: A Canadian Deliberative Dialogue with Patients, Providers, and Health System Leaders
Tara Upshaw, Amy Craig-Neil, Jillian Macklin, et al.
The Journal of the American Board of Family Medicine (2023) Vol. 36, Iss. 2, pp. 210-220
Open Access | Times Cited: 27
Artificial intelligence (AI) acceptance in primary care during the coronavirus pandemic: What is the role of patients' gender, age and health awareness? A two-phase pilot study
Hila Chalutz Ben‐Gal
Frontiers in Public Health (2023) Vol. 10
Open Access | Times Cited: 24
Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care
Matthew R. Allen, Sophie Webb, Ammar Mandvi, et al.
BMC Primary Care (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 13
The application and use of artificial intelligence in cancer nursing: A systematic review
Siobhán O’Connor, Amy Vercell, David Wong, et al.
European Journal of Oncology Nursing (2024) Vol. 68, pp. 102510-102510
Open Access | Times Cited: 10
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
How artificial intelligence (AI) supports nursing education: profiling the roles, applications, and trends of AI in nursing education research (1993–2020)
Gwo‐Jen Hwang, Kai–Yu Tang, Yun‐Fang Tu
Interactive Learning Environments (2022) Vol. 32, Iss. 1, pp. 373-392
Closed Access | Times Cited: 27
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
Use of AI in family medicine publications: a joint editorial from journal editors
Sarina Schrager, Dean A. Seehusen, Sumi M. Sexton, et al.
Evidence-Based Practice (2025) Vol. 28, Iss. 1, pp. 1-4
Closed Access
Use of AI in Family Medicine Publications: A Joint Editorial From Journal Editors
Sarina Schrager, Dean A. Seehusen, Sumi M. Sexton, et al.
Family Medicine (2025) Vol. 57, Iss. 1, pp. 1-5
Open Access
Use of AI in Family Medicine Publications: A Joint Editorial From Journal Editors
Sarina Schrager, Dean A. Seehusen, Sumi M. Sexton, et al.
PRiMER (2025) Vol. 9
Open Access
Use of AI in family medicine publications: a joint editorial from journal editors
Sarina Schrager, Dean A. Seehusen, Sumi M. Sexton, et al.
Family Medicine and Community Health (2025) Vol. 13, Iss. 1, pp. e003238-e003238
Open Access
Use of AI in Family Medicine Publications: A Joint Editorial From Journal Editors
Sarina Schrager, Dean A. Seehusen, Sumi M. Sexton, et al.
The Annals of Family Medicine (2025), pp. 240575-240575
Open Access
The adoption of Artificial Intelligence (AI) in healthcare: a model of value assessment, human resource and health system factors
Hila Chalutz Ben‐Gal, Alessandro Margherita
Technology Analysis and Strategic Management (2025), pp. 1-14
Closed Access
Artificial intelligence in otorhinolaryngology: current trends and application areas
Emre Demir, Burak Numan Uğurlu, Gülay Aktar Uğurlu, et al.
European Archives of Oto-Rhino-Laryngology (2025)
Open Access
The Perceptions of Potential Prerequisites for Artificial Intelligence in Danish General Practice: Vignette-Based Interview Study Among General Practitioners
Natasha Lee Sørensen, Camilla Hoffmann Merrild, Martin Bach Jensen, et al.
JMIR Medical Informatics (2025) Vol. 13, pp. e63895-e63895
Open Access
Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review
O. T. G. Jones, Natália Calanzani, S Saji, et al.
Journal of Medical Internet Research (2020) Vol. 23, Iss. 3, pp. e23483-e23483
Open Access | Times Cited: 42
Machine learning in general practice: scoping review of administrative task support and automation
Natasha Lee Sørensen, Brian Bemman, Martin Bach Jensen, et al.
BMC Primary Care (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 12
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
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