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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:

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
Milena Gianfrancesco, Suzanne Tamang, Jinoos Yazdany, et al.
JAMA Internal Medicine (2018) Vol. 178, Iss. 11, pp. 1544-1544
Open Access | Times Cited: 1047

Showing 1-25 of 1047 citing articles:

Machine Learning in Medicine
Alvin Rajkomar, Jay B. Dean, Isaac S. Kohane
New England Journal of Medicine (2019) Vol. 380, Iss. 14, pp. 1347-1358
Closed Access | Times Cited: 2653
Updated Guidance on the Reporting of Race and Ethnicity in Medical and Science Journals
Annette Flanagin, Tracy Frey, Stacy Christiansen
JAMA (2021) Vol. 326, Iss. 7, pp. 621-621
Closed Access | Times Cited: 1170
Ensuring Fairness in Machine Learning to Advance Health Equity
Alvin Rajkomar, Michaela Hardt, Michael Howell, et al.
Annals of Internal Medicine (2018) Vol. 169, Iss. 12, pp. 866-866
Open Access | Times Cited: 730
Artificial Intelligence in Dentistry: Chances and Challenges
Falk Schwendicke, Wojciech Samek, Joachim Krois
Journal of Dental Research (2020) Vol. 99, Iss. 7, pp. 769-774
Open Access | Times Cited: 703
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Zeeshan Ahmed, Khalid Gaffer Mohamed, Saman Zeeshan, et al.
Database (2020) Vol. 2020
Open Access | Times Cited: 646
Addressing Bias in Artificial Intelligence in Health Care
Ravi B. Parikh, Stephanie Teeple, Amol S. Navathe
JAMA (2019) Vol. 322, Iss. 24, pp. 2377-2377
Closed Access | Times Cited: 557
A survey of uncertainty in deep neural networks
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1513-1589
Open Access | Times Cited: 492
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
Ji-Peng Olivia Li, Hanruo Liu, Darren Shu Jeng Ting, et al.
Progress in Retinal and Eye Research (2020) Vol. 82, pp. 100900-100900
Open Access | Times Cited: 475
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
Laleh Seyyed-Kalantari, Haoran Zhang, Matthew B. A. McDermott, et al.
Nature Medicine (2021) Vol. 27, Iss. 12, pp. 2176-2182
Open Access | Times Cited: 468
Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity
Xiangao Jiang, Megan Coffee, Anasse Bari, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2020) Vol. 62, Iss. 3, pp. 537-551
Open Access | Times Cited: 434
Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers
Dong Wook Kim, Hye Young Jang, Kyung Won Kim, et al.
Korean Journal of Radiology (2019) Vol. 20, Iss. 3, pp. 405-405
Open Access | Times Cited: 397
Deep Learning in Medicine—Promise, Progress, and Challenges
Fei Wang, Lawrence P. Casalino, Dhruv Khullar
JAMA Internal Medicine (2018) Vol. 179, Iss. 3, pp. 293-293
Closed Access | Times Cited: 391
Machine learning for clinical decision support in infectious diseases: a narrative review of current applications
Nathan Peiffer‐Smadja, Timothy M. Rawson, Raheelah Ahmad, et al.
Clinical Microbiology and Infection (2019) Vol. 26, Iss. 5, pp. 584-595
Open Access | Times Cited: 388
Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics
Wenzheng Heng, Samuel A. Solomon, Wei Gao
Advanced Materials (2021) Vol. 34, Iss. 16
Open Access | Times Cited: 375
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness
Sebastian J. Vollmer, Bilal A. Mateen, Gergő Bohner, et al.
BMJ (2020), pp. l6927-l6927
Open Access | Times Cited: 356
Artificial intelligence in clinical and genomic diagnostics
Raquel Dias, Ali Torkamani
Genome Medicine (2019) Vol. 11, Iss. 1
Open Access | Times Cited: 334
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen, et al.
Nature Medicine (2022) Vol. 28, Iss. 1, pp. 154-163
Open Access | Times Cited: 317
Towards a standard for identifying and managing bias in artificial intelligence
Reva Schwartz, Apostol Vassilev, Kristen Greene, et al.
(2022)
Open Access | Times Cited: 297
Questions for Artificial Intelligence in Health Care
Thomas M. Maddox, John S. Rumsfeld, Philip Payne
JAMA (2018) Vol. 321, Iss. 1, pp. 31-31
Closed Access | Times Cited: 285
The Reporting of Race and Ethnicity in Medical and Science Journals
Annette Flanagin, Tracy Frey, Stacy Christiansen, et al.
JAMA (2021) Vol. 325, Iss. 11, pp. 1049-1049
Open Access | Times Cited: 273
MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care
Tina Hernandez‐Boussard, Selen Bozkurt, John P. A. Ioannidis, et al.
Journal of the American Medical Informatics Association (2020) Vol. 27, Iss. 12, pp. 2011-2015
Open Access | Times Cited: 263
Designing deep learning studies in cancer diagnostics
Andreas Kleppe, Ole-Johan Skrede, Sepp de Raedt, et al.
Nature reviews. Cancer (2021) Vol. 21, Iss. 3, pp. 199-211
Closed Access | Times Cited: 258
The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world
Ilona Kickbusch, Dario Piselli, Anurag Agrawal, et al.
The Lancet (2021) Vol. 398, Iss. 10312, pp. 1727-1776
Open Access | Times Cited: 250
Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review
Avishek Choudhury, Onur Asan
JMIR Medical Informatics (2020) Vol. 8, Iss. 7, pp. e18599-e18599
Open Access | Times Cited: 248
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
Ellen Lee, John Torous, Munmun De Choudhury, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2021) Vol. 6, Iss. 9, pp. 856-864
Open Access | Times Cited: 239
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