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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:

Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images
Francesco Prinzi, Carmelo Militello, Vincenzo Conti, et al.
Journal of Imaging (2023) Vol. 9, Iss. 2, pp. 32-32
Open Access | Times Cited: 10

Showing 10 citing articles:

Shallow and deep learning classifiers in medical image analysis
Francesco Prinzi, Tiziana Currieri, Salvatore Gaglio, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 11
Rad4XCNN: A new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Francesco Prinzi, Carmelo Militello, Calogero Zarcaro, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 260, pp. 108576-108576
Open Access | Times Cited: 1
Explainable Machine-Learning Models for COVID-19 Prognosis Prediction Using Clinical, Laboratory and Radiomic Features
Francesco Prinzi, Carmelo Militello, Nicola Scichilone, et al.
IEEE Access (2023) Vol. 11, pp. 121492-121510
Open Access | Times Cited: 21
Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences
Francesco Prinzi, Alessia Angela Maria Orlando, Salvatore Gaglio, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123557-123557
Open Access | Times Cited: 8
Image biomarkers and explainable AI: handcrafted features versus deep learned features
Leonardo Rundo, Carmelo Militello
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 8
Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis Network
Dawun Jeong, Youngtaek Hong, Jina Lee, et al.
IEEE Access (2024) Vol. 12, pp. 27648-27660
Open Access | Times Cited: 4
Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective multicenter study
Tommaso Vincenzo Bartolotta, Carmelo Militello, Francesco Prinzi, et al.
La radiologia medica (2024) Vol. 129, Iss. 7, pp. 977-988
Open Access | Times Cited: 3
Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning
A. Beena Godbin, S. Graceline Jasmine
IEEE Access (2024) Vol. 12, pp. 47656-47671
Open Access | Times Cited: 1
Bounds for Haralick features in synthetic images with sinusoidal gradients
Ana Oprisan, Sorinel A. Oprisan
Frontiers in Signal Processing (2023) Vol. 3
Open Access
Radiomics Signature of Epicardial Adipose Tissue for Predicting Postoperative Atrial Fibrillation after Off-Pump Coronary Artery Bypass Surgery
Yisen Deng, Zhan Liu, Xu‐Ming Wang, et al.
Reviews in Cardiovascular Medicine (2023) Vol. 24, Iss. 11, pp. 327-327
Open Access
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