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:

The limits of fair medical imaging AI in real-world generalization
Yuzhe Yang, Haoran Zhang, Judy Wawira Gichoya, et al.
Nature Medicine (2024) Vol. 30, Iss. 10, pp. 2838-2848
Open Access | Times Cited: 21

Showing 21 citing articles:

A review of deep learning for brain tumor analysis in MRI
Felix J. Dorfner, Jay Patel, Jayashree Kalpathy-Cramer, et al.
npj Precision Oncology (2025) Vol. 9, Iss. 1
Open Access | Times Cited: 1

Practical Guide to Image-Based Big Data Research
Elsie Gyang Ross, Shipra Arya, Marc L. Melcher
JAMA Surgery (2025)
Closed Access | Times Cited: 1

Deep learning models and the limits of explainable artificial intelligence
Jens Christian Bjerring, Jakob Thrane Mainz, Lauritz Aastrup Munch
Asian Journal of Philosophy (2025) Vol. 4, Iss. 1
Open Access

A data-efficient strategy for building high-performing medical foundation models
Yuqi Sun, Weimin Tan, Zhuoyao Gu, et al.
Nature Biomedical Engineering (2025)
Closed Access

Bridging Artificial Intelligence Models to Clinical Practice: Challenges in Lung Cancer Prediction
Xiaonan Shao, Rong Niu
Radiology Artificial Intelligence (2025) Vol. 7, Iss. 2
Closed Access

AI Image Generation Technology in Ophthalmology: Use, Misuse and Future Applications
Benjamin Phipps, Xavier Hadoux, Bin Sheng, et al.
Progress in Retinal and Eye Research (2025), pp. 101353-101353
Closed Access

Harnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care
Arya Aminorroaya, Dhruva Biswas, Aline F Pedroso, et al.
Journal of the Society for Cardiovascular Angiography & Interventions (2025) Vol. 4, Iss. 3, pp. 102562-102562
Open Access

Settling the Score on Algorithmic Discrimination in Health Care
Marzyeh Ghassemi, Maia Hightower, Elaine O. Nsoesie
NEJM AI (2024) Vol. 1, Iss. 10
Closed Access | Times Cited: 1

Unveiling the power of artificial intelligence for image‐based diagnosis and treatment in endodontics: An ally or adversary?
Rocharles Cavalcante Fontenele, Reinhilde Jacobs
International Endodontic Journal (2024)
Open Access | Times Cited: 1

Exploring the Potential and Limitations of Artificial Intelligence in Animal Anatomy
Om Prakash Choudhary, Shofia Saghya Infant, Vickram As, et al.
Annals of Anatomy - Anatomischer Anzeiger (2024), pp. 152366-152366
Closed Access | Times Cited: 1

Implementing Artificial Intelligence Algorithms in the Radiology Workflow: Challenges and Considerations
Panagiotis Korfiatis, Timothy L. Kline, H Meyer, et al.
Mayo Clinic Proceedings Digital Health (2024), pp. 100188-100188
Open Access | Times Cited: 1

“Publish or Perish” Paradigm and Medical Research: Replication Crisis in the Context of Artificial Intelligence Trend
Obada Al-leimon, Malik E. Juweid
Annals of Biomedical Engineering (2024)
Closed Access

Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains
Sid Ahmed Belhadj, Sanguk Park, A. Seth, et al.
Lecture notes in computer science (2024), pp. 56-66
Closed Access

Artificial intelligence and surgical radiology – how it is shaping real‐world management
Victor Chai, Lori J. Wirth, Ke Cao, et al.
ANZ Journal of Surgery (2024) Vol. 94, Iss. 11, pp. 1894-1896
Open Access

Towards robust machine olfaction: debiasing GC-MS data enhances prostate cancer diagnosis from urine volatiles
Adan Rotteveel, Wen‐Yee Lee, Zoi Kountouri, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

A data-centric perspective to fair machine learning for healthcare
Haoran Zhang, Walter Gerych, Marzyeh Ghassemi
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access

Human–Artificial Intelligence Interaction Research Is Crucial for Medical Artificial Intelligence Implementation
Clarence M. Sams, Aaron Fanous, Roxana Daneshjou
Journal of Investigative Dermatology (2024)
Closed Access

Deep Learning-Based Flap Detection System Using Thermographic Images in Plastic Surgery
Răzvan Danciu, Bogdan Danciu, Luiz-Sorin Vasiu, et al.
Applied System Innovation (2024) Vol. 7, Iss. 6, pp. 101-101
Open Access

Multimodal Foundation Models for Medical Imaging - A Systematic Review and Implementation Guidelines
Shih-Cheng Huang, Malte Jensen, Serena Yeung, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Realising the Potential Impact of Artificial Intelligence for Rare Diseases – A Framework
Tudor Groza, Chun‐Hung Chan, David A. Pearce, et al.
Rare (2024), pp. 100057-100057
Open Access

Underdiagnosis Bias of Chest Radiograph Diagnostic AI can be Decomposed and Mitigated via Dataset Bias Attributions
Yuta Kobayashi, Haoran Zhang, Harvineet Singh, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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