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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:

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

Showing 1-25 of 263 citing articles:

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Gary S. Collins, Karel G.M. Moons, Paula Dhiman, et al.
BMJ (2024), pp. e078378-e078378
Open Access | Times Cited: 323
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
Natalia Díaz-Rodríguez, Javier Del Ser, Mark Coeckelbergh, et al.
Information Fusion (2023) Vol. 99, pp. 101896-101896
Open Access | Times Cited: 279
The need to separate the wheat from the chaff in medical informatics
Federico Cabitza, Andrea Campagner
International Journal of Medical Informatics (2021) Vol. 153, pp. 104510-104510
Open Access | Times Cited: 208
Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support
Ashish Sharma, Inna Wanyin Lin, Adam S. Miner, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 1, pp. 46-57
Closed Access | Times Cited: 182
The potential of artificial intelligence to improve patient safety: a scoping review
David W. Bates, David M. Levine, Ania Syrowatka, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 177
Reproducibility standards for machine learning in the life sciences
Benjamin J. Heil, Michael M. Hoffman, Florian Markowetz, et al.
Nature Methods (2021) Vol. 18, Iss. 10, pp. 1132-1135
Open Access | Times Cited: 165
The importance of being external. methodological insights for the external validation of machine learning models in medicine
Federico Cabitza, Andrea Campagner, Felipe Soares, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 208, pp. 106288-106288
Open Access | Times Cited: 159
Digital twins for predictive oncology will be a paradigm shift for precision cancer care
Tina Hernandez‐Boussard, Paul Macklin, Emily J. Greenspan, et al.
Nature Medicine (2021) Vol. 27, Iss. 12, pp. 2065-2066
Open Access | Times Cited: 126
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review
Haomin Chen, Catalina Gómez, Chien‐Ming Huang, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 125
Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review
Jonathan Huang, Galal Galal, Mozziyar Etemadi, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 5, pp. e36388-e36388
Open Access | Times Cited: 114
The value of standards for health datasets in artificial intelligence-based applications
Anmol Arora, Joseph Alderman, Joanne Palmer, et al.
Nature Medicine (2023) Vol. 29, Iss. 11, pp. 2929-2938
Open Access | Times Cited: 95
Trustworthy Augmented Intelligence in Health Care
Elliott Crigger, Karen Reinbold, Chelsea Hanson, et al.
Journal of Medical Systems (2022) Vol. 46, Iss. 2
Open Access | Times Cited: 82
Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative
Gaia Spadarella, Arnaldo Stanzione, Tugba Akinci D’Antonoli, et al.
European Radiology (2022) Vol. 33, Iss. 3, pp. 1884-1894
Open Access | Times Cited: 82
Guidelines for Artificial Intelligence in Medicine: Literature Review and Content Analysis of Frameworks
Norah L. Crossnohere, Mohamed I. Elsaid, Jonathan Paskett, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 8, pp. e36823-e36823
Open Access | Times Cited: 81
Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis
Seong Ho Park, Kyunghwa Han, Hye Young Jang, et al.
Radiology (2022) Vol. 306, Iss. 1, pp. 20-31
Closed Access | Times Cited: 73
Natural language processing for mental health interventions: a systematic review and research framework
Matteo Malgaroli, Thomas D. Hull, James M. Zech, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 62
A deep-learning algorithm to classify skin lesions from mpox virus infection
Alexander Thieme, Yuanning Zheng, Gautam Machiraju, et al.
Nature Medicine (2023) Vol. 29, Iss. 3, pp. 738-747
Open Access | Times Cited: 54
Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review
Francesco Sanmarchi, Claudio Fanconi, Davide Golinelli, et al.
Journal of Nephrology (2023) Vol. 36, Iss. 4, pp. 1101-1117
Open Access | Times Cited: 45
Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
William Lotter, Michael J. Hassett, Nikolaus Schultz, et al.
Cancer Discovery (2024) Vol. 14, Iss. 5, pp. 711-726
Open Access | Times Cited: 35
Reporting Use of AI in Research and Scholarly Publication—JAMA Network Guidance
Annette Flanagin, Romain Pirracchio, Rohan Khera, et al.
JAMA (2024) Vol. 331, Iss. 13, pp. 1096-1096
Closed Access | Times Cited: 26
Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review
Yue Cai, Yuqing Cai, Liying Tang, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 25
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis
Fiona R. Kolbinger, Gregory P. Veldhuizen, Jiefu Zhu, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 24
Bias in medical AI: Implications for clinical decision-making
James M. Cross, Michael A. Choma, John A. Onofrey
PLOS Digital Health (2024) Vol. 3, Iss. 11, pp. e0000651-e0000651
Open Access | Times Cited: 22
A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy
Coen Hurkmans, Jean‐Emmanuel Bibault, Kristy K. Brock, et al.
Radiotherapy and Oncology (2024) Vol. 197, pp. 110345-110345
Closed Access | Times Cited: 20
Ethical and Bias Considerations in Artificial Intelligence (AI)/Machine Learning
Matthew G. Hanna, Liron Pantanowitz, Brian Jackson, et al.
Modern Pathology (2024), pp. 100686-100686
Open Access | Times Cited: 19
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