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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.

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Showing 25 citing articles:

Development and preliminary testing of Health Equity Across the AI Lifecycle (HEAAL): A framework for healthcare delivery organizations to mitigate the risk of AI solutions worsening health inequities
Jee Young Kim, Alifia Hasan, Katherine C. Kellogg, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 5, pp. e0000390-e0000390
Open Access | Times Cited: 16
The impact of commercial health datasets on medical research and health-care algorithms
Isabelle Rose I Alberto, Nicole Rose I. Alberto, Arnab K. Ghosh, et al.
The Lancet Digital Health (2023) Vol. 5, Iss. 5, pp. e288-e294
Open Access | Times Cited: 39
Detecting shortcut learning for fair medical AI using shortcut testing
Alexander Brown, Nenad TomaĊĦev, Jan Freyberg, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 37
Data Is What Data Does: Regulating Use, Harm, and Risk Instead of Sensitive Data
Daniel J. Solove
SSRN Electronic Journal (2023)
Open Access | Times Cited: 27
Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact
Aparna Balagopalan, Ioana Baldini, Leo Anthony Celi, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 4, pp. e0000474-e0000474
Open Access | Times Cited: 6
The Algorithmic Divide: A Systematic Review on AI-Driven Racial Disparities in Healthcare
Syed Ali Haider, Sahar Borna, Cesar A. Gomez-Cabello, et al.
Journal of Racial and Ethnic Health Disparities (2024)
Closed Access | Times Cited: 4
The Impact and Opportunities of Generative AI in Fact-Checking
Robert Wolfe, Tanushree Mitra
2022 ACM Conference on Fairness, Accountability, and Transparency (2024)
Open Access | Times Cited: 3
Characterization of Stigmatizing Language in Medical Records
Keith Harrigian, Ayah Zirikly, Brant Chee, et al.
(2023)
Open Access | Times Cited: 6
How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is Unobserved
Lingwei Cheng, Isabel Gallegos, Derek Ouyang, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 667-686
Open Access | Times Cited: 5
Limiting bias in AI models for improved and equitable cancer care
Marzyeh Ghassemi, Alexander Gusev
Nature reviews. Cancer (2024) Vol. 24, Iss. 12, pp. 823-824
Closed Access | Times Cited: 1
Health Equity in Clinical Research Informatics
Sigurd Maurud, Silje Havrevold Henni, Anne Moen
Yearbook of Medical Informatics (2023) Vol. 32, Iss. 01, pp. 138-145
Open Access | Times Cited: 3
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit
Ming Ying Yang, Gloria Hyunjung Kwak, Tom Pollard, et al.
(2023), pp. 333-350
Open Access | Times Cited: 3
Development and preliminary testing of Health Equity Across the AI Lifecycle (HEAAL): A framework for healthcare delivery organizations to mitigate the risk of AI solutions worsening health inequities
Jee Young Kim, Alifia Hasan, Katherine C. Kellogg, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Enhancing Fairness and Accuracy in Diagnosing Type 2 Diabetes in Young Population
Tanmoy Sarkar Pias, Yiqi Su, Xuxin Tang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Presentation matters for AI-generated clinical advice
Marzyeh Ghassemi
Nature Human Behaviour (2023) Vol. 7, Iss. 11, pp. 1833-1835
Closed Access | Times Cited: 2
Navigating Bias When Using AI in Oncology
K.K. Thornber
(2024), pp. 30-32
Closed Access
Learning and diSentangling patient static information from time-series Electronic hEalth Records (STEER)
Wei Liao, Joel Voldman
PLOS Digital Health (2024) Vol. 3, Iss. 10, pp. e0000640-e0000640
Open Access
Automatically Identifying Stigmatizing Language in Clinical Notes: A Survey of Natural Language Processing Methods (Preprint)
Annika Marie Schoene, Liz Scharnetzki, Jessica DiBiase, et al.
(2024)
Open Access
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications
Ankita Agarwal, Tanvi Banerjee, William L. Romine, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 6411-6419
Open Access
Establishing Vigilant Care:&nbsp;<span>Data Infrastructures and the Black Birthing Experience</span> <br>
Joan Mukogosi
SSRN Electronic Journal (2024)
Closed Access
Algorithmic Fairness in Chest X-ray Diagnosis: A Case Study
Haoran Zhang, Thomas Hartvigsen, Marzyeh Ghassemi
(2023), Iss. Winter 2023
Open Access | Times Cited: 1
Causal thinking for decision making on Electronic Health Records: why and how
Matthieu Doutreligne, Tristan Struja, J. Abecassis, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Step-by-step causal analysis of Electronic Health Records to ground decision making
Matthieu Doutreligne, Tristan Struja, J. Abecassis, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Intersectionality and Testimonial Injustice in Medical Records
Kenya S. Andrews, Bhuvni Shah, Lu Cheng
(2023), pp. 358-372
Open Access
Debiasing patient embeddings for clinical applications
Lucy Brock
(2023)
Open Access
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