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.

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Showing 10 citing articles:

Differentiation of multiple adrenal adenoma subtypes based on a radiomics and clinico-radiological model: a dual-center study
Xinzhang Zhang, Yifan Si, Xin Shi, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1

Feasibility of an electronic nose to aid biochemical assessment of adrenal lesions
Charlotte L. Viëtor, Odin V Sosef, Sam P.J. van Dijk, et al.
Endocrine Practice (2025)
Open Access

Using elastography-based multilayer perceptron model to evaluate renal fibrosis in chronic kidney disease
Ziman Chen, Michael Ying, Jiaxin Chen, et al.
Renal Failure (2023) Vol. 45, Iss. 1
Open Access | Times Cited: 8

Clinical Artificial Intelligence Applications in Radiology
Sungwon Lee, Ronald M. Summers
Radiologic Clinics of North America (2021) Vol. 59, Iss. 6, pp. 987-1002
Closed Access | Times Cited: 20

Diagnostic performance of radiomics in adrenal masses: A systematic review and meta-analysis
Hao Zhang, Hanqi Lei, Jun Pang
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 12

Machine Learning-Based Texture Analysis in the Characterization of Cortisol Secreting vs. Non-Secreting Adrenocortical Incidentalomas in CT Scan
Roberta Maggio, Filippo Messina, Benedetta D’Arrigo, et al.
Frontiers in Endocrinology (2022) Vol. 13
Open Access | Times Cited: 5

A radiomic signature based on magnetic resonance imaging to determine adrenal Cushing’s syndrome
Ferhat Can Pişkin, Gamze Akkuş, Sevinç Püren Yücel, et al.
Polish Journal of Radiology (2023) Vol. 88, pp. 41-46
Open Access | Times Cited: 1

Distinguishing between aldosterone-producing adenomas and non-functional adrenocortical adenomas using the YOLOv5 network
Zeyu Piao, Mingzhu Meng, Huijie Yang, et al.
Acta Radiologica (2024) Vol. 65, Iss. 8, pp. 1007-1014
Closed Access

Comparativa de diferentes modelos radiómicos para la clasificación de lesiones adrenales indeterminadas diagnosticadas de forma incidental en TC con contraste
Daniel Prieto, Miguel Ángel Gómez Bermejo, E. Canales Lachén, et al.
Revista de Física Médica (2024) Vol. 25, Iss. 2, pp. 11-23
Open Access

Texture analysis of CT images based on machine learning to identify whether adrenal cortical adenoma is functional or not
Guohua Yan, Yu Zhang, Limei Wang, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1

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