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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:

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

Showing 21 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: 10
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
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
Interpretable Radiomic Signature for Breast Microcalcification Detection and Classification
Francesco Prinzi, Alessia Angela Maria Orlando, Salvatore Gaglio, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1038-1053
Open Access | Times Cited: 7
Enhancing pneumonia diagnosis with ensemble-modified classifier and transfer learning in deep-CNN based classification of chest radiographs
S. Rajeashwari, K. Arunesh
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106130-106130
Closed Access | Times Cited: 5
Rib suppression-based radiomics for diagnosis of neonatal respiratory distress syndrome in chest X-rays
Yudong Wang, Zongjin Qu, Zhengjun Dai, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
AI-driven health analysis for emerging respiratory diseases: A case study of Yemen patients using COVID-19 data
Saleh I. Alzahrani, Wael M. S. Yafooz, Ibrahim Aljamaan, et al.
Mathematical Biosciences & Engineering (2025) Vol. 22, Iss. 3, pp. 554-584
Open Access
Early detection of glaucoma: feature visualization with a deep convolutional network
N. K. Jisy, Md. Hasnat Ali, Sirisha Senthil, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 4
Integrated ensemble CNN and explainable AI for COVID-19 diagnosis from CT scan and X-ray images
Reenu Rajpoot, Mahesh Gour, Sweta Jain, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
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
Relationships between geo-spatial features and COVID-19 hospitalisations revealed by machine learning models and SHAP values
Lixia Chu, Jeroen Nelen, Alessandro Crivellari, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective
Domenico Amato, Salvatore Calderaro, Giosué Lo Bosco, et al.
Cognitive Computation (2024)
Open Access | Times Cited: 1
High Accuracy COVID-19 Prediction Using Optimized Union Ensemble Feature Selection Approach
Abbas Jafar, Myungho Lee
IEEE Access (2024) Vol. 12, pp. 122942-122958
Open Access | Times Cited: 1
Identifying severe community-acquired pneumonia using radiomics and clinical data: a machine learning approach
Tianning Yang, Ling Zhang, Siyi Sun, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Non-Invasive Endometrial Cancer Screening through Urinary Fluorescent Metabolome Profile Monitoring and Machine Learning Algorithms
Monika Švecová, Katarı́na Dubayová, Anna Birková, et al.
Cancers (2024) Vol. 16, Iss. 18, pp. 3155-3155
Open Access | Times Cited: 1
Multiphases DCE-MRI Radiomics Nomogram for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer
Qinqin Ma, Xingru Lu, Qitian Chen, et al.
Academic Radiology (2024) Vol. 31, Iss. 12, pp. 4743-4758
Closed Access
Using AI explainable models and handwriting/drawing tasks for psychological well-being
Francesco Prinzi, Pietro Barbiero, Claudia Greco, et al.
Information Systems (2024), pp. 102465-102465
Open Access
Utilizing Explainable AI and Biosensors for Clinical Diagnosis of Infectious Vector-Borne Diseases
Thavavel Vaiyapuri
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 18640-18648
Open Access
Multi-Modal Machine Learning Approach for COVID-19 Detection Using Biomarkers and X-Ray Imaging
Kağan Tur
Diagnostics (2024) Vol. 14, Iss. 24, pp. 2800-2800
Open Access
Efficient Clinical Decision-Making Process via AI-Based Multimodal Data Fusion: A COVID-19 Case Study
Daniel Iglesias, Joaquim de Moura, Pedro J. Marcos, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e38642-e38642
Open Access
Representative Slice Selection and Multi-View Projection Learning for Pulmonary Tuberculosis Infectiousness Identification Using CT Volume
Qiushun Bai, Yi Gao, Feng Chen, et al.
IEEE Access (2023) Vol. 12, pp. 1374-1385
Open Access | Times Cited: 1
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