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:

Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models
Feng Chen, Liqin Wang, Julie Hong, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 5, pp. 1172-1183
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact
Hamid Reza Saeidnia, Seyed Ghasem Hashemi Fotami, Brady Lund, et al.
Social Sciences (2024) Vol. 13, Iss. 7, pp. 381-381
Open Access | Times Cited: 15
Leveraging Large Language Models for Enhancing Safety in Maritime Operations
Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1666-1666
Open Access | Times Cited: 1
A roadmap to implementing machine learning in healthcare: from concept to practice
Adam Paul Yan, Lin Lawrence Guo, Jiro Inoue, et al.
Frontiers in Digital Health (2025) Vol. 7
Open Access
Fair streaming feature selection
Zhangling Duan, Tianci Li, Zhaolong Ling, et al.
Neurocomputing (2025), pp. 129394-129394
Closed Access
Death risk prediction model for patients with non-traumatic intracerebral hemorrhage
Yih‐Sharng Chen, Xuhui Liu, M. Yan, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Guidelines International Network: Principles for Use of Artificial Intelligence in the Health Guideline Enterprise
Bernardo Sousa‐Pinto, Manuel Marques‐Cruz, Ignacio Neumann, et al.
Annals of Internal Medicine (2025)
Closed Access
AI for all: bridging data gaps in machine learning and health
Monica L. Wang, Kimberly A. Bertrand
Translational Behavioral Medicine (2025) Vol. 15, Iss. 1
Closed Access
Exploring Artificial Intelligence Biases in Predictive Models for Cancer Diagnosis
Aref Smiley, C Mahony Reátegui-Rivera, David Villarreal‐Zegarra, et al.
Cancers (2025) Vol. 17, Iss. 3, pp. 407-407
Open Access
AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecognized high risk clinical scenarios
Raquel M. Zimmerman, Edgar J. Hernández, Mark Yandell, et al.
BMC Pregnancy and Childbirth (2025) Vol. 25, Iss. 1
Open Access
How much can we save by applying artificial intelligence in evidence synthesis? Results from a pragmatic review to quantify workload efficiencies and cost savings
Ṣẹ̀yẹ Abògúnr̀in, Jeffrey M. Muir, Cristiano A. F. Zerbini, et al.
Frontiers in Pharmacology (2025) Vol. 16
Open Access
EHR-based prediction modelling meets multimodal deep learning: A systematic review of structured and textual data fusion methods
Ariel Soares Teles, Ivan Rodrigues de Moura, Francisco Silva, et al.
Information Fusion (2025), pp. 102981-102981
Closed Access
Navigating Uncertainty: A User-Perspective Survey of Trustworthiness of AI in Healthcare
Jaya Ojha, Oriana Presacan, Pedro G. Lind, et al.
ACM Transactions on Computing for Healthcare (2025)
Closed Access
Application of deep reinforcement learning for intrusion detection in Internet of Things: A systematic review
Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, et al.
Internet of Things (2025), pp. 101531-101531
Closed Access
Wearable Sensor Technology for Hyperhidrosis Management in Individuals With Prosthetic Limbs: A Narrative Review
Kelly Frasier, Mary Grace Hash, Andrea Pugliese
Cureus (2025)
Open Access
Biases in Artificial Intelligence Application in Pain Medicine
Oranicha Jumreornvong, A. Pérez, Brian Malave, et al.
Journal of Pain Research (2025) Vol. Volume 18, pp. 1021-1033
Open Access
Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study
Samer El Kababji, Nicholas Mitsakakis, Elizabeth Jonker, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e66821-e66821
Open Access
MLHOps: Machine Learning Health Operations
Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, et al.
IEEE Access (2024) Vol. 13, pp. 20374-20412
Open Access | Times Cited: 1
Moving forward on the science of informatics and predictive analytics
Suzanne Bakken
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 5, pp. 1049-1050
Closed Access
Exploring the analysis capabilities and clinical application potential of the Claude 3 Opus in different dermatologic images: the development of a large-scale multimodal model to assist in dermatology clinical practice (Preprint)
Yuwei Huang, Xu Liu, Lu Zhang, et al.
(2024)
Open Access
Emotional and Cognitive Trust in Artificial Intelligence: A Framework for Identifying Research Opportunities
Breagin K. Riley, Andrea L. Dixon
Current Opinion in Psychology (2024) Vol. 58, pp. 101833-101833
Closed Access
Recognition of Patient Gender: A Machine Learning Preliminary Analysis Using Heart Sounds from Children and Adolescents
Rodrigo M Carrillo-Larco
Pediatric Cardiology (2024)
Closed Access
Through a Teacher’s Lens: Combating Bias in AI-Powered Education for a Just Future
M. Poornesh
The Clearing House A Journal of Educational Strategies Issues and Ideas (2024) Vol. 97, Iss. 4, pp. 119-124
Closed Access
AI-Powered clinical assessments: GPT-4o’s role in standardizing CPR skill evaluations
Federico Semeraro
Resuscitation (2024) Vol. 204, pp. 110411-110411
Closed Access
Raising awareness of potential biases in medical machine learning: Experience from a Datathon
Harry Hochheiser, Jesse Klug, Thomas Mathie, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Utilization of Computable Phenotypes in Electronic Health Record Research: A Review and Case Study in Atopic Dermatitis
Joseph Masison, Harold P. Lehmann, Joy Wan
Journal of Investigative Dermatology (2024)
Closed Access
Page 1 - Next Page

Scroll to top