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:

Showing 1-25 of 77 citing articles:

A high-level overview of AI ethics
Emre Kazim, Adriano Koshiyama
Patterns (2021) Vol. 2, Iss. 9, pp. 100314-100314
Open Access | Times Cited: 136

Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications
Umair Muneer Butt, Sukumar Letchmunan, Mubashir Ali, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 127

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: 113

The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions
Aurelia Sauerbrei, Angeliki Kerasidou, Federica Lucivero, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 111

Artificial Intelligence in Medicine and Dentistry
Marin Vodanović, Marko Subašić, Denis Milošević, et al.
Acta Stomatologica Croatica (2023) Vol. 57, Iss. 1, pp. 70-84
Open Access | Times Cited: 51

Integrating ethics in AI development: a qualitative study
Laura Arbelaez Ossa, Giorgia Lorenzini, Stephen R. Milford, et al.
BMC Medical Ethics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 19

Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysis
Tahereh Saheb, Tayebeh Saheb, David O. Carpenter
Computers in Biology and Medicine (2021) Vol. 135, pp. 104660-104660
Closed Access | Times Cited: 101

AI, big data, and the future of consent
Adam J. Andreotta, Nin Kirkham, Marco Rizzi
AI & Society (2021) Vol. 37, Iss. 4, pp. 1715-1728
Open Access | Times Cited: 85

Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging
Francesca Coppola, Lorenzo Faggioni, Michela Gabelloni, et al.
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 77

A Novel Approach for Feature Selection and Classification of Diabetes Mellitus: Machine Learning Methods
Roshi Saxena, Sanjay Kumar Sharma, Manali Gupta, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 59

Legal concerns in health-related artificial intelligence: a scoping review protocol
Michael Da Silva, Tanya Horsley, Devin Singh, et al.
Systematic Reviews (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 43

A novel method for diabetes classification and prediction with Pycaret
Pawan Whig, Ketan Gupta, Nasmin Jiwani, et al.
Microsystem Technologies (2023) Vol. 29, Iss. 10, pp. 1479-1487
Closed Access | Times Cited: 32

Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms
Shuo‐Ming Ou, Ming‐Tsun Tsai, Kuo‐Hua Lee, et al.
BioData Mining (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 25

Clearing the Fog: A Scoping Literature Review on the Ethical Issues Surrounding Artificial Intelligence-Based Medical Devices
Alessia Maccaro, Katy Stokes, Laura Statham, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 5, pp. 443-443
Open Access | Times Cited: 11

Remote monitoring and digital health tools in CVD management
Martín Cowie, Carolyn S.P. Lam
Nature Reviews Cardiology (2021) Vol. 18, Iss. 7, pp. 457-458
Open Access | Times Cited: 52

“Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks
Jinghui Liu, Daniel Capurro, Anthony Nguyen, et al.
Journal of Biomedical Informatics (2022) Vol. 133, pp. 104149-104149
Open Access | Times Cited: 27

A Comprehensive Review of Various Diabetic Prediction Models: A Literature Survey
Roshi Saxena, Sanjay Kumar Sharma, Manali Gupta, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 22

Machine Learning Methods Improve Specificity in Newborn Screening for Isovaleric Aciduria
Elaine Zaunseder, Ulrike Mütze, Sven F. Garbade, et al.
Metabolites (2023) Vol. 13, Iss. 2, pp. 304-304
Open Access | Times Cited: 12

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

Revolutionize Electronic Health Records with AI in Hospitals for Patient Benefit
Manmohan Mishra, Bireshwar Dass Mazumdar, Prashant Gupta, et al.
Studies in computational intelligence (2025), pp. 253-270
Closed Access

Ethical Algorithms for Machine Learning Based Ai Powered Robotics: Ethical Perspective for Covid-19 Like Health Emergencies
Birendra Kumar Saraswat, Richa Sharma, Prakash Joshi, et al.
International Journal for Global Academic & Scientific Research (2025) Vol. 4, Iss. 1, pp. 18-26
Closed Access

Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study
Jin Shi, David Bendig, Horst Christian Vollmar, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e45815-e45815
Open Access | Times Cited: 9

Exploring Various Government Health Schemes and the Use of AI in the Changing Dynamics of India
Rahul Joshi, Krishna Pandey, Suman Kumari
(2024), pp. 1-6
Closed Access | Times Cited: 3

Page 1 - Next Page

Scroll to top