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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:

The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review
Daniel Schwabe, Katinka Becker, Martin Seyferth, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

Revolutionizing diagnosis of pulmonary Mycobacterium tuberculosis based on CT: a systematic review of imaging analysis through deep learning
Fei Zhang, Hui Han, Minglin Li, et al.
Frontiers in Microbiology (2025) Vol. 15
Open Access
Research progress of MRI-based radiomics in hepatocellular carcinoma
Xiaoyun Xie, Rong Chen
Frontiers in Oncology (2025) Vol. 15
Open Access
A Review of Recent Artificial Intelligence for Traditional Medicine
Chengbin Hou, Yifan Gao, Xinyu Lin, et al.
Journal of Traditional and Complementary Medicine (2025)
Open Access
Management of psychological emergency cases on social media: A hybrid approach combining knowledge graphs and graph neural networks
Mourad Ellouze, Sonda Rekik, Lamia Hadrich Belguith
Online Social Networks and Media (2025) Vol. 46, pp. 100308-100308
Closed Access
Optimizing the efficiency and effectiveness of data quality assurance in a multicenter clinical dataset
Anne Fu, Trong Shen, Surain B. Roberts, et al.
Journal of the American Medical Informatics Association (2025)
Closed Access
Trust at every step: Embedding trust quality gates into the visual data exploration loop for machine learning-based clinical decision support systems
Dario Antweiler, Georg Fuchs
Computers & Graphics (2025), pp. 104212-104212
Closed Access
AI models in clinical neonatology: a review of modeling approaches and a consensus proposal for standardized reporting of model performance
Ameena Husain, Lindsey A. Knake, Brynne A. Sullivan, et al.
Pediatric Research (2024)
Closed Access | Times Cited: 2
“Artificial histology” in colonic Neoplasia: A critical approach
Gavino Faa, Matteo Fraschini, Luca Didaci, et al.
Digestive and Liver Disease (2024)
Closed Access | Times Cited: 1
Data quality assurance practices in research data repositories—A systematic literature review
Besiki Stvilia, Y J Pang, Dong Joon Lee, et al.
Journal of the Association for Information Science and Technology (2024)
Closed Access
Predicting bacterial transcription factor binding sites through machine learning and structural characterization based on DNA duplex stability
André Borges Farias, Gustavo Sganzerla Martinez, Edgardo Galán-Vásquez, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
Achieving On-Site Trustworthy AI Implementation in the Construction Industry: A Framework Across the AI Lifecycle
Lichao Yang, Gary Allen, Zichao Zhang, et al.
Buildings (2024) Vol. 15, Iss. 1, pp. 21-21
Open Access
How to design, create and evaluate an instruction-tuning dataset for large language model training in healthcare: a tutorial from a clinical perspective. (Preprint)
Wojciech Nazar, Grzegorz Nazar, Aleksandra Kamińska, et al.
Journal of Medical Internet Research (2024)
Open Access
How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective (Preprint)
Wojciech Nazar, Grzegorz Nazar, Aleksandra Kamińska, et al.
(2024)
Closed Access
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