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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:

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients
Isaac Shiri, Yazdan Salimi, Masoumeh Pakbin, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105467-105467
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Radiomics and Its Feature Selection: A Review
Wenchao Zhang, Yu Guo, Qiyu Jin
Symmetry (2023) Vol. 15, Iss. 10, pp. 1834-1834
Open Access | Times Cited: 43
Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection
Elham Avard, Isaac Shiri, Ghasem Hajianfar, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105145-105145
Open Access | Times Cited: 67
Self-reported checklists and quality scoring tools in radiomics: a meta-research
Burak Koçak, Tugba Akinci D’Antonoli, Ece Ateş, et al.
European Radiology (2024) Vol. 34, Iss. 8, pp. 5028-5040
Closed Access | Times Cited: 13
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
Mohammed A. A. Al‐qaness, Jie Zhu, Dalal AL-Alimi, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3267-3301
Closed Access | Times Cited: 10
Advances of AI in image-based computer-aided diagnosis: A review
Mst. Nilufa Yeasmin, Md Al Amin, Tasmim Jamal Joti, et al.
Array (2024) Vol. 23, pp. 100357-100357
Open Access | Times Cited: 10
Organomics
Yazdan Salimi, Ghasem Hajianfar, Zahra Mansouri, et al.
Clinical Nuclear Medicine (2024) Vol. 49, Iss. 10, pp. 899-908
Open Access | Times Cited: 9
Artificial Intelligence for Drug Discovery: An Update and Future Prospects
Harrison Howell, Jeremy McGale, Aurélie Choucair, et al.
Seminars in Nuclear Medicine (2025)
Closed Access | Times Cited: 1
Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review
Farrukh Saleem, Abdullah Alghamdi, Madini O. Alassafi, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 9, pp. 5099-5099
Open Access | Times Cited: 34
High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms
Isaac Shiri, Shayan Mostafaei, Atlas Haddadi Avval, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 31
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
The prognostic value of the Barthel Index for mortality in patients with COVID-19: A cross-sectional study
Erchuan Wang, Ao Liu, Zixuan Wang, et al.
Frontiers in Public Health (2023) Vol. 10
Open Access | Times Cited: 18
Predictive Prognostic Factors in Non-Calcific Supraspinatus Tendinopathy Treated with Focused Extracorporeal Shock Wave Therapy: An Artificial Neural Network Approach
Gabriele Santilli, Mario Vetrano, Massimiliano Mangone, et al.
Life (2024) Vol. 14, Iss. 6, pp. 681-681
Open Access | Times Cited: 7
Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning
Yazdan Salimi, Zahra Mansouri, Ghasem Hajianfar, et al.
Medical Physics (2024) Vol. 51, Iss. 6, pp. 4095-4104
Open Access | Times Cited: 6
A Comprehensive Review of Machine Learning Used to Combat COVID-19
Rahul Gomes, Connor Kamrowski, Jordan Langlois, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1853-1853
Open Access | Times Cited: 27
Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics
Pegah Moradi Khaniabadi, Yassine Bouchareb, Humoud Al-Dhuhli, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106165-106165
Open Access | Times Cited: 27
Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
Showmick Guha Paul, Arpa Saha, Al Amin Biswas, et al.
Array (2022) Vol. 17, pp. 100271-100271
Open Access | Times Cited: 27
Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM
Burak Koçak, Ali Keleş, Tugba Akinci D’Antonoli
European Radiology (2023) Vol. 34, Iss. 4, pp. 2805-2815
Closed Access | Times Cited: 14
Deep Learning-based calculation of patient size and attenuation surrogates from localizer Image: Toward personalized chest CT protocol optimization
Yazdan Salimi, Isaac Shiri, Azadeh Akhavanallaf, et al.
European Journal of Radiology (2022) Vol. 157, pp. 110602-110602
Open Access | Times Cited: 21
Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study
Mobin Mohebi, Mehdi Amini, Mohammad Javad Alemzadeh‐Ansari, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 4, pp. 1348-1363
Open Access | Times Cited: 12
Unraveling complex relationships between COVID-19 risk factors using machine learning based models for predicting mortality of hospitalized patients and identification of high-risk group: a large retrospective study
Mohammad Mehdi Banoei, Haniyeh Rafiepoor, Kazem Zendehdel, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 11
Deep recurrent learning based qualified sequence segment analytical model (QS2AM) for infectious disease detection using CT images
S. Suganyadevi, V. Seethalakshmi
Evolving Systems (2023) Vol. 15, Iss. 2, pp. 505-521
Closed Access | Times Cited: 11
Radiomics as a new frontier in modern rheumatology: Chest pathology visualization advances and prospects
Т. V. Beketova, Е. Л. Насонов, M. A. Alekseev, et al.
Rheumatology Science and Practice (2025) Vol. 63, Iss. 1, pp. 24-36
Open Access
Predicting Hospitalization Length in Geriatric Patients Using Artificial Intelligence and Radiomics
Lorenzo Fantechi, Federico Barbarossa, S Cecchini, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 368-368
Open Access
Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT
Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Radiomics for Machine Learning—A Multi-Class System for the Automatic Detection of COVID-19 and Community-Acquired Pneumonia from Computed Tomography Images
Vasileia Paschaloudi, Dimitris Fotopoulos, Ioanna Chouvarda
BioMedInformatics (2025) Vol. 5, Iss. 2, pp. 21-21
Open Access
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