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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:

Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence
Jeffry Hogg, Mohaimen Al-Zubaidy, James Talks, et al.
Journal of Medical Internet Research (2022) Vol. 25, pp. e39742-e39742
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Shiva Maleki Varnosfaderani, Mohamad Forouzanfar
Bioengineering (2024) Vol. 11, Iss. 4, pp. 337-337
Open Access | Times Cited: 133
Artificial intelligence in healthcare: Complementing, not replacing, doctors and healthcare providers
Emre Sezgın
Digital Health (2023) Vol. 9
Open Access | Times Cited: 107
Putting ChatGPT’s Medical Advice to the (Turing) Test: Survey Study
Oded Nov, Nina Singh, David Mann
JMIR Medical Education (2023) Vol. 9, pp. e46939-e46939
Open Access | Times Cited: 104
Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study
Malik Sallam, Nesreen A. Salim, Muna Barakat, et al.
JMIR Medical Education (2023) Vol. 9, pp. e48254-e48254
Open Access | Times Cited: 97
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review
Rebecca Giddings, Anabel Joseph, Thomas Callender, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 2, pp. e131-e144
Open Access | Times Cited: 21
Radiologists’ perceptions on AI integration: An in-depth survey study
Maurizio Cè, Simona Ibba, Michaela Cellina, et al.
European Journal of Radiology (2024) Vol. 177, pp. 111590-111590
Closed Access | Times Cited: 8
Digital Frontiers in Healthcare: Integrating mHealth, AI, and Radiology for Future Medical Diagnostics
Reabal Najjar
Biomedical engineering (2024)
Open Access | Times Cited: 6
Perceptions on artificial intelligence-based decision-making for coexisting multiple long-term health conditions: protocol for a qualitative study with patients and healthcare professionals
Niluka Gunathilaka, Tiffany E. Gooden, Jennifer Cooper, et al.
BMJ Open (2024) Vol. 14, Iss. 2, pp. e077156-e077156
Open Access | Times Cited: 6
The Impact of Digital Hospitals on Patient and Clinician Experience: Systematic Review and Qualitative Evidence Synthesis
Oliver J. Canfell, Leanna Woods, Yasaman Meshkat, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e47715-e47715
Open Access | Times Cited: 6
“How I would like AI used for my imaging”: children and young persons’ perspectives
Lauren Lee, Raimat Korede Salami, H Martı́n, et al.
European Radiology (2024) Vol. 34, Iss. 12, pp. 7751-7764
Open Access | Times Cited: 5
“It happened to be the perfect thing”: experiences of generative AI chatbots for mental health
Steven Siddals, John Torous, Astrid Coxon
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 5
Health Care Professionals and Data Scientists’ Perspectives on a Machine Learning System to Anticipate and Manage the Risk of Decompensation From Patients With Heart Failure: Qualitative Interview Study
Joana Seringa, A Hirata, Ana Rita Pedro, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e54990-e54990
Open Access
Perspectives of Healthcare Professionals on the Use of Artificial Intelligence to Support Clinical Decision-Making in the Management of Multiple Long-Term Conditions: An Interview Study (Preprint)
Jennifer Cooper, Shamil Haroon, Francesca L. Crowe, et al.
(2025)
Closed Access
Embracing Generative Artificial Intelligence in Clinical Research and Beyond
Henry P. Foote, Chuan Hong, Mohd Anwar, et al.
JACC Advances (2025) Vol. 4, Iss. 3, pp. 101593-101593
Open Access
Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment
Kenneth A McLean, A Sgrò, Leo R. Brown, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
What Are Patients’ Perceptions and Attitudes Regarding the Use of Artificial Intelligence in Skin Cancer Screening and Diagnosis? Narrative Review
Preksha Machaiya Kuppanda, Monika Janda, H. Peter Soyer, et al.
Journal of Investigative Dermatology (2025)
Closed Access
A critical look into artificial intelligence and healthcare disparities
D Li, Shruti Parikh, Ana Costa
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Analysing the Suitability of Artificial Intelligence in Healthcare and the Role of AI Governance
Zhenwei You, Yahui Wang, Yineng Xiao
Health Care Analysis (2025)
Closed Access
Machine Learning Operations in Health Care: A Scoping Review
Anjali Rajagopal, Shant Ayanian, Alexander J. Ryu, et al.
Mayo Clinic Proceedings Digital Health (2024) Vol. 2, Iss. 3, pp. 421-437
Closed Access | Times Cited: 4
Exploring the Impact of Artificial Intelligence on Healthcare Management: A Combined Systematic Review and Machine-Learning Approach
Vito Santamato, Caterina Tricase, Nicola Faccilongo, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10144-10144
Open Access | Times Cited: 4
Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward?
Jennifer Camaradou, Jeffry Hogg
Advances in Therapy (2023) Vol. 40, Iss. 6, pp. 2563-2572
Open Access | Times Cited: 10
Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial
Konstantinos Sideris, Charlene Weir, Carsten Schmalfuss, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 4, pp. 919-928
Open Access | Times Cited: 3
Facilitating public involvement in research about healthcare AI: A scoping review of empirical methods
Emma Kellie Frost, Rebecca Bosward, Yves Saint James Aquino, et al.
International Journal of Medical Informatics (2024) Vol. 186, pp. 105417-105417
Open Access | Times Cited: 3
Frameworks for procurement, integration, monitoring, and evaluation of artificial intelligence tools in clinical settings: A systematic review
Sarim Dawar Khan, Zahra Hoodbhoy, Mohummad Hassan Raza Raja, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 5, pp. e0000514-e0000514
Open Access | Times Cited: 3
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo González, Ashirbani Saha, Clinton J.V. Campbell, et al.
Journal of Pathology Informatics (2023) Vol. 15, pp. 100347-100347
Open Access | Times Cited: 9
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