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:
Multi-disciplinary fairness considerations in machine learning for clinical trials
Isabel Chien, Nina Deliu, Richard E. Turner, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 906-924
Open Access | Times Cited: 16
Isabel Chien, Nina Deliu, Richard E. Turner, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 906-924
Open Access | Times Cited: 16
Showing 16 citing articles:
Causal machine learning for predicting treatment outcomes
Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, et al.
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 958-968
Closed Access | Times Cited: 46
Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, et al.
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 958-968
Closed Access | Times Cited: 46
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
Nur Yildirim, Hannah Richardson, Maria Wetscherek, et al.
(2024), pp. 1-22
Open Access | Times Cited: 10
Nur Yildirim, Hannah Richardson, Maria Wetscherek, et al.
(2024), pp. 1-22
Open Access | Times Cited: 10
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
Nina Deliu, Joseph Jay Williams, Bibhas Chakraborty
International Statistical Review (2024)
Open Access | Times Cited: 5
Nina Deliu, Joseph Jay Williams, Bibhas Chakraborty
International Statistical Review (2024)
Open Access | Times Cited: 5
Predictive policing and algorithmic fairness
Tzu-Wei Hung, Chun-Ping Yen
Synthese (2023) Vol. 201, Iss. 6
Open Access | Times Cited: 13
Tzu-Wei Hung, Chun-Ping Yen
Synthese (2023) Vol. 201, Iss. 6
Open Access | Times Cited: 13
Open challenges and opportunities in federated foundation models towards biomedical healthcare
Xingyu Li, Peng Lu, Yu‐Ping Wang, et al.
BioData Mining (2025) Vol. 18, Iss. 1
Open Access
Xingyu Li, Peng Lu, Yu‐Ping Wang, et al.
BioData Mining (2025) Vol. 18, Iss. 1
Open Access
A Scoping Review of Informed Consent Practices in Human-Computer Interaction Research
Valentin Schwind, Netsanet Zelalem Tadesse, Estefania Silva da Cunha, et al.
ACM Transactions on Computer-Human Interaction (2025)
Closed Access
Valentin Schwind, Netsanet Zelalem Tadesse, Estefania Silva da Cunha, et al.
ACM Transactions on Computer-Human Interaction (2025)
Closed Access
Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward
Anja Thieme, Aditya Nori, Marzyeh Ghassemi, et al.
(2023), pp. 1-4
Closed Access | Times Cited: 8
Anja Thieme, Aditya Nori, Marzyeh Ghassemi, et al.
(2023), pp. 1-4
Closed Access | Times Cited: 8
Clinical Trial Active Learning
Zoe Fowler, Kiran Kokilepersaud, Mohit Prabhushankar, et al.
(2023) Vol. 22, pp. 1-10
Open Access | Times Cited: 5
Zoe Fowler, Kiran Kokilepersaud, Mohit Prabhushankar, et al.
(2023) Vol. 22, pp. 1-10
Open Access | Times Cited: 5
Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective
Sirui Ding, Shenghan Zhang, Xia Hu, et al.
Journal of Biomedical Informatics (2024) Vol. 156, pp. 104671-104671
Closed Access | Times Cited: 1
Sirui Ding, Shenghan Zhang, Xia Hu, et al.
Journal of Biomedical Informatics (2024) Vol. 156, pp. 104671-104671
Closed Access | Times Cited: 1
Reimagining Machine Learning's Role in Assistive Technology by Co-Designing Exergames with Children Using a Participatory Machine Learning Design Probe
Jared Duval, Laia Turmo Vidal, Elena Márquez Segura, et al.
(2023), pp. 1-16
Open Access | Times Cited: 2
Jared Duval, Laia Turmo Vidal, Elena Márquez Segura, et al.
(2023), pp. 1-16
Open Access | Times Cited: 2
Algorithmic Individual Fairness for Healthcare: A Scoping Review
J. W. Anderson, Shyam Visweswaran
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
J. W. Anderson, Shyam Visweswaran
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics
Md Abu Sufian, Lujain Alsadder, Wahiba Hamzi, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2675-2675
Open Access
Md Abu Sufian, Lujain Alsadder, Wahiba Hamzi, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2675-2675
Open Access
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
Nina Deliu, Joseph Jay Williams, Bibhas Chakraborty
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1
Nina Deliu, Joseph Jay Williams, Bibhas Chakraborty
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1
Some performance considerations when using multi-armed bandit algorithms in the presence of missing data
Xijin Chen, Kim May Lee, Sofía S. Villar, et al.
PLoS ONE (2022) Vol. 17, Iss. 9, pp. e0274272-e0274272
Open Access | Times Cited: 1
Xijin Chen, Kim May Lee, Sofía S. Villar, et al.
PLoS ONE (2022) Vol. 17, Iss. 9, pp. e0274272-e0274272
Open Access | Times Cited: 1
Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants
Isabel Chien, Javier Gonzalez Hernandez, Richard E. Turner
Lecture notes in computer science (2023), pp. 51-59
Closed Access
Isabel Chien, Javier Gonzalez Hernandez, Richard E. Turner
Lecture notes in computer science (2023), pp. 51-59
Closed Access
