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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:

A critical moment in machine learning in medicine: on reproducible and interpretable learning
Olga Ciobanu-Caraus, Anatol A Aicher, Julius M. Kernbach, et al.
Acta Neurochirurgica (2024) Vol. 166, Iss. 1
Open Access | Times Cited: 13

Showing 13 citing articles:

A systematic review of machine learning applications in predicting opioid associated adverse events
Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David Jenkins, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
A Review on Medical Image Segmentation: Datasets, Technical Models, Challenges and Solutions
Hong‐Seng Gan, Muhammad Hanif Ramlee, Zimu Wang, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 1
Closed Access
A multiscale molecular structural neural network for molecular property prediction
Zhiwei Shi, Miao Ma, Hanyang Ning, et al.
Molecular Diversity (2025)
Closed Access
Research on Assisting X-ray Diagnosis of Osteoporotic Vertebral Compression Fractures Using Interpretable Machine Learning Models and Radiomics Features
Kangen Han, Hongwen Gu, Yu Li, et al.
Research Square (Research Square) (2025)
Closed Access
Enhancing COPD Care for Women: A Predictive Tool for Palliative Needs
Syed Ahmar Shah
Respirology (2025)
Closed Access
Machine learning applied to digital phenotyping: A systematic literature review and taxonomy
Marília Pit dos Santos, Wesllei Felipe Heckler, Rodrigo Simon Bavaresco, et al.
Computers in Human Behavior (2024) Vol. 161, pp. 108422-108422
Closed Access | Times Cited: 3
Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
Ivan Malashin, D. A. Martysyuk, В С Тынченко, et al.
Polymers (2024) Vol. 16, Iss. 23, pp. 3368-3368
Open Access | Times Cited: 2
Toward improving reproducibility in neuroimaging deep learning studies
Federico Del Pup, Manfredo Atzori
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Ultrahypofractionated Versus Normofractionated Preoperative Radiotherapy for Soft Tissue Sarcoma: A Multicenter, Prospective Real-World-Time Phase 2 Clinical Trial
Philip Heesen, Michele Di Lonardo, Olga Ciobanu-Caraus, et al.
Cancers (2024) Vol. 16, Iss. 23, pp. 4063-4063
Open Access
Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials
Bruno Barufaldi, Jordy Gomes, Telmo M. Silva Filho, et al.
Pattern Recognition (2024) Vol. 153, pp. 110494-110494
Closed Access
Critical Review on the Contribution of Machine Learning to Health Science
Neji Hasni
Deleted Journal (2024) Vol. 1, Iss. 2
Open Access
From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases
Deren Xu, Weng Howe Chan, Habibollah Haron, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access
Machine learning in neuroimaging of epilepsy: a narrative review
Teresa Perillo, Sandra Perillo, Antônio Germane Alves Pinto
Deleted Journal (2024) Vol. 11, Iss. 1
Open Access
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