Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis
Hamidreza Amiri, Samira Peiravi, Seyedeh Sara Rezazadeh Shojaee, et al.
BMC Medical Education (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 20

Showing 20 citing articles:

Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study
Xiaoyan Wang, Fangqin Fei, Jiawen Wei, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 8
Knowledge, attitudes, and perceptions of a group of Egyptian dental students toward artificial intelligence: a cross-sectional study
Marwa Elchaghaby, Reem Wahby
BMC Oral Health (2025) Vol. 25, Iss. 1
Open Access
Gender and Age Dynamics in Future Educators' Attitudes toward AI Integration in Education: A Sample from State-managed Universities in Zamboanga Peninsula, Philippines
Keir A. Balasa, Alexandhrea Hiedie Dumagay, Ericson O. Alieto, et al.
Deleted Journal (2025) Vol. 4, pp. 668-668
Closed Access
Awareness of the role of artificial intelligence in health care among undergraduate nursing students: A descriptive cross-sectional study
Misbah Naureen, Sana Siddiqui, Summaira Nasir, et al.
Nurse Education Today (2025) Vol. 149, pp. 106673-106673
Closed Access
A Novel Scale to Measure Nursing Students’ Fear of Artificial Intelligence: Development and Validation
Zainab Fatehi Albikawi, Mohammad H. Abuadas
The Open Nursing Journal (2025) Vol. 19, Iss. 1
Open Access
Perceptions and attitudes of health science students relating to artificial intelligence (AI): A scoping review
Shokoufeh Derakhshanian, Lucy Wood, Elio Arruzza
Health Science Reports (2024) Vol. 7, Iss. 8
Open Access | Times Cited: 4
Application of artificial intelligence in nursing practice: a qualitative study of Jordanian nurses’ perspectives
Wesam T. Almagharbeh, Hazem AbdulKareem Alfanash, Khaldoon Aied Alnawafleh, et al.
BMC Nursing (2025) Vol. 24, Iss. 1
Open Access
Using ChatGPT for medical education: the technical perspective
Kwai Yu Winnie Chan, Tsz Hon Yuen, Michael Co
BMC Medical Education (2025) Vol. 25, Iss. 1
Open Access
Exploring Nursing Students' Attitudes and Readiness for Artificial Intelligence: A Cross-Sectional Study
Turgay Yalcinkaya, Eda Ergın, Şebnem Çınar Yücel
Teaching and learning in nursing (2024) Vol. 19, Iss. 4, pp. e722-e728
Closed Access | Times Cited: 3
Attitudes and perceptions of Thai medical students regarding artificial intelligence in radiology and medicine
Salita Angkurawaranon, Nakarin Inmutto, Kittipitch Bannangkoon, et al.
BMC Medical Education (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Artificial intelligence, medications, pharmacogenomics, and ethics
Susanne B. Haga
Pharmacogenomics (2024), pp. 1-12
Closed Access | Times Cited: 1
The Role of Artificial Intelligence Literacy and Innovation Mindset in Shaping Nursing Students' Career and Talent Self-Efficacy
Boshra El-Sayed, Ahmed Abdelwahab Ibrahim El‐Sayed, Samira Ahmed Alsenany, et al.
Nurse Education in Practice (2024) Vol. 82, pp. 104208-104208
Closed Access | Times Cited: 1
From anxiety to action: exploring the impact of artificial intelligence anxiety and artificial intelligence self-efficacy on motivated learning of undergraduate students
Chen Chen, Wei Hu, Xiaomin Wei
Interactive Learning Environments (2024), pp. 1-16
Closed Access | Times Cited: 1
Generative Artificial Intelligence
Heather Hawk, Michael Coriasco, J. Jones
Nurse Educator (2024) Vol. 50, Iss. 1, pp. 18-22
Closed Access
Comment about ‘Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis’
Yoshiyasu Ito, Hironobu Ikehara
BMC Medical Education (2024) Vol. 24, Iss. 1
Open Access
Nursing students' attitudes and literacy toward artificial intelligence: a cross-sectional study
Aylin Akça Sümengen, Damla Özçevik Subaşı, Gökçe Naz Çakır
Teaching and learning in nursing (2024)
Closed Access
Healthcare Workers' Knowledge and Attitudes Regarding Artificial Intelligence Adoption in Healthcare: A Cross-sectional Study
Moustaq Karim Khan Rony, Khadiza Akter, Latifun Nesa, et al.
Heliyon (2024) Vol. 10, Iss. 23, pp. e40775-e40775
Open Access
Knowledge, Attitude, and Practice (KAP) Regarding the Use of Artificial Intelligence in Hospital Settings in Mardan, Khyber Pakhtunkhwa, Pakistan
Faizan Sadiq, Fouzia Sadiq, Rukhsana Gul, et al.
Cureus (2024)
Open Access
Examining Internet Use for Health Information Seeking and Influencing Factors among Undergraduate Health Science Students in Southwest Ethiopia
Alex Ayenew Chereka, Fikadu Wake Butta, Addisalem Workie Demsash, et al.
Heliyon (2024) Vol. 11, Iss. 1, pp. e41545-e41545
Open Access
Embracing the future: an insight into nursing students’ attitude and perception towards the usability of artificial intelligence in healthcare
Nagwa Ibrahim Hamad, Ayman Mohamed El‐Ashry, Ibrahim Mahmoud Ibrahim, et al.
Teaching and learning in nursing (2024)
Closed Access
Page 1

Scroll to top