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:

Applications of artificial intelligence for nursing: has a new era arrived?
Liesbet Van Bulck, Raphaël Couturier, Philip Moons
European Journal of Cardiovascular Nursing (2022) Vol. 22, Iss. 3, pp. e19-e20
Open Access | Times Cited: 35

Showing 1-25 of 35 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

ChatGPT: can artificial intelligence language models be of value for cardiovascular nurses and allied health professionals
Philip Moons, Liesbet Van Bulck
European Journal of Cardiovascular Nursing (2023) Vol. 22, Iss. 7, pp. e55-e59
Open Access | Times Cited: 100

Using ChatGPT and Google Bard to improve the readability of written patient information: a proof of concept
Philip Moons, Liesbet Van Bulck
European Journal of Cardiovascular Nursing (2023)
Open Access | Times Cited: 56

Advancing nursing practice with artificial intelligence: Enhancing preparedness for the future
Moustaq Karim Khan Rony, Mst. Rina Parvin, Silvia Ferdousi
Nursing Open (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 51

Artificial intelligence in nursing: Current trends, possibilities and pitfalls
Sirwan Khalid Ahmed
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100072-100072
Open Access | Times Cited: 21

First-year nursing students’ attitudes towards artificial intelligence: Cross-sectional multi-center study
Anita Lukić, Nenad Kudelić, Vesna Antičević, et al.
Nurse Education in Practice (2023) Vol. 71, pp. 103735-103735
Closed Access | Times Cited: 36

Artificial intelligence in medical science: a review
Simrata Bindra, Richa Jain
Irish Journal of Medical Science (1971 -) (2023) Vol. 193, Iss. 3, pp. 1419-1429
Closed Access | Times Cited: 24

Nurses' Perspectives on Privacy and Ethical Concerns Regarding Artificial Intelligence Adoption in Healthcare
Moustaq Karim Khan Rony, Sharker Md. Numan, Khadiza Akter, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36702-e36702
Open Access | Times Cited: 6

Three Years of Continuous Vital Signs Monitoring on the General Surgical Ward: Is It Sustainable? A Qualitative Study
Harm H. J. van Noort, Femke L. Becking-Verhaar, Wilmieke Bahlman‐van Ooijen, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 439-439
Open Access | Times Cited: 5

Psychometrics of the Attitude Scale towards the use of Artificial Intelligence Technologies in Nursing
Dilek Çol Yılmaz, Derya Uzelli Yılmaz, Yurdanur Dikmen
BMC Nursing (2025) Vol. 24, Iss. 1
Open Access

Response to the letter to the editor – Dr. ChatGPT in cardiovascular nursing: a deeper dive into trustworthiness, value, and potential risk
Liesbet Van Bulck, Philip Moons
European Journal of Cardiovascular Nursing (2023) Vol. 23, Iss. 1, pp. e13-e14
Closed Access | Times Cited: 10

Exploring the full potential of the electronic health record: the application of natural language processing for clinical practice
Liesbet Van Bulck, Meghan Reading Turchioe, Maxim Topaz, et al.
European Journal of Cardiovascular Nursing (2024)
Open Access | Times Cited: 3

Artificial Intelligence in the Organization of Nursing Care: A Scoping Review
João Miguel Almeida Ventura‐Silva, María Manuela Martins, Letícia de Lima Trindade, et al.
Nursing Reports (2024) Vol. 14, Iss. 4, pp. 2733-2745
Open Access | Times Cited: 3

Incorporating reproductive system history data into cardiovascular nursing research to advance women’s health
Mary C. Davis, Shirin O. Hiatt, Nandita Gupta, et al.
European Journal of Cardiovascular Nursing (2024) Vol. 23, Iss. 2, pp. 206-211
Open Access | Times Cited: 2

When the computer says yes, but the healthcare professional says no: artificial intelligence and possible ethical dilemmas in health services
Faye Forsyth, Liesbet Van Bulck, Bo Daelman, et al.
European Journal of Cardiovascular Nursing (2024)
Closed Access | Times Cited: 2

Artificial Intelligence Applications in Smart Healthcare: A Survey
Xian Gao, Peixiong He, Yi Zhou, et al.
Future Internet (2024) Vol. 16, Iss. 9, pp. 308-308
Open Access | Times Cited: 1

Nursing Interventions and Care Strategies for Patients with Coronary Heart Disease: A Comprehensive Review
Guangxue Wen, Yangyan Shan, Jun Chen, et al.
Galen Medical Journal (2023) Vol. 12
Open Access | Times Cited: 3

An Ignatian approach to incorporating artificial intelligence into nursing curricula
Naif S. Alzahrani, Renée L. Davis, Chuntana Reangsing, et al.
Nurse Education in Practice (2023) Vol. 68, pp. 103608-103608
Closed Access | Times Cited: 2

How true is the role of large language models in nursing?
Partha Pratim Ray
European Journal of Cardiovascular Nursing (2024) Vol. 23, Iss. 5, pp. e79-e80
Open Access

Building the Capacity of Future Filipino Nurses: An Integrative Review
Paul Nikolai S. Cantor -
International Journal For Multidisciplinary Research (2024) Vol. 6, Iss. 1
Open Access

Artificial Intelligence and Nursing Practice
Pamala D. Larsen
Rehabilitation Nursing (2024) Vol. 49, Iss. 3, pp. 73-74
Closed Access

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