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:

Ethical Machine Learning in Healthcare
Irene Y. Chen, Emma Pierson, Sherri Rose, et al.
Annual Review of Biomedical Data Science (2021) Vol. 4, Iss. 1, pp. 123-144
Open Access | Times Cited: 180

Showing 1-25 of 180 citing articles:

Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 172-180
Open Access | Times Cited: 1408
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Gary S. Collins, Karel G.M. Moons, Paula Dhiman, et al.
BMJ (2024), pp. e078378-e078378
Open Access | Times Cited: 344
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 269
Bias in artificial intelligence algorithms and recommendations for mitigation
Lama Nazer, Razan Zatarah, Shai Waldrip, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 6, pp. e0000278-e0000278
Open Access | Times Cited: 239
Health data poverty: an assailable barrier to equitable digital health care
Hussein Ibrahim, Xiaoxuan Liu, Névine Zariffa, et al.
The Lancet Digital Health (2021) Vol. 3, Iss. 4, pp. e260-e265
Open Access | Times Cited: 220
Algorithmic fairness in artificial intelligence for medicine and healthcare
Richard J. Chen, Judy J. Wang, Drew F. K. Williamson, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 719-742
Open Access | Times Cited: 203
SHIFTing artificial intelligence to be responsible in healthcare: A systematic review
Haytham Siala, Yichuan Wang
Social Science & Medicine (2022) Vol. 296, pp. 114782-114782
Open Access | Times Cited: 189
A Review of Generalizability and Transportability
Irina Degtiar, Sherri Rose
Annual Review of Statistics and Its Application (2022) Vol. 10, Iss. 1, pp. 501-524
Open Access | Times Cited: 160
Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence
Hanna von Gerich, Hans Moen, Lorraine J. Block, et al.
International Journal of Nursing Studies (2021) Vol. 127, pp. 104153-104153
Open Access | Times Cited: 158
DNA methylation-based predictors of health: applications and statistical considerations
Paul Yousefi, Matthew Suderman, Ryan Langdon, et al.
Nature Reviews Genetics (2022) Vol. 23, Iss. 6, pp. 369-383
Closed Access | Times Cited: 146
Addressing fairness in artificial intelligence for medical imaging
María Agustina Ricci Lara, Rodrigo Echeveste, Enzo Ferrante
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 129
Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review
Jonathan Huang, Galal Galal, Mozziyar Etemadi, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 5, pp. e36388-e36388
Open Access | Times Cited: 115
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
Raihan Ur Rasool, Hafiz Farooq Ahmad, Wajid Rafique, et al.
Journal of Network and Computer Applications (2022) Vol. 201, pp. 103332-103332
Closed Access | Times Cited: 99
The value of standards for health datasets in artificial intelligence-based applications
Anmol Arora, Joseph Alderman, Joanne Palmer, et al.
Nature Medicine (2023) Vol. 29, Iss. 11, pp. 2929-2938
Open Access | Times Cited: 98
Guiding Principles to Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Health Care
Marshall H. Chin, Nasim Afsarmanesh, Arlene S. Bierman, et al.
JAMA Network Open (2023) Vol. 6, Iss. 12, pp. e2345050-e2345050
Open Access | Times Cited: 96
Priorities for successful use of artificial intelligence by public health organizations: a literature review
Stacey Fisher, Laura C. Rosella
BMC Public Health (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 75
Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’?
Hana Baroudi, Kristy K. Brock, Wenhua Cao, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 667-667
Open Access | Times Cited: 55
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 42
Evaluating large language models as agents in the clinic
Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 40
An introduction to digital determinants of health
Swathikan Chidambaram, Bhav Jain, Urvish Jain, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 1, pp. e0000346-e0000346
Open Access | Times Cited: 37
AI-powered drug discovery for neglected diseases: accelerating public health solutions in the developing world
MD Nahid Hassan Nishan
Journal of Global Health (2025) Vol. 15
Open Access | Times Cited: 2
Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach
Tianshu Gu, Wensen Pan, Jing Yu, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review
John Marko, Ciprian Daniel Neagu, P. B. Anand
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Ensuring that biomedical AI benefits diverse populations
James Zou, Londa Schiebinger
EBioMedicine (2021) Vol. 67, pp. 103358-103358
Open Access | Times Cited: 83
Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations
Sarah Hickman, Gabrielle Baxter, Fiona J. Gilbert
British Journal of Cancer (2021) Vol. 125, Iss. 1, pp. 15-22
Open Access | Times Cited: 81
Page 1 - Next Page

Scroll to top