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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 Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score
Géza Halász, Michela Sperti, Matteo Villani, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 5, pp. e29058-e29058
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review
Ezekwesiri Michael Nwanosike, Barbara R. Conway, Hamid A. Merchant, et al.
International Journal of Medical Informatics (2021) Vol. 159, pp. 104679-104679
Open Access | Times Cited: 83
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska, et al.
Oeconomia Copernicana (2024) Vol. 15, Iss. 1, pp. 27-58
Open Access | Times Cited: 14
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
Saeed Shakibfar, Fredrik Nyberg, Huiqi Li, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 16
Advancing prognostic precision in pulmonary embolism: A clinical and laboratory-based artificial intelligence approach for enhanced early mortality risk stratification
Seyed‐Ali Sadegh‐Zadeh, Hanie Sakha, Sobhan Movahedi, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107696-107696
Open Access | Times Cited: 15
Assessment of Sepsis Risk at Admission to the Emergency Department: Clinical Interpretable Prediction Model
Umran Aygun, Fatma Hilal Yağın, Burak Yagin, et al.
Diagnostics (2024) Vol. 14, Iss. 5, pp. 457-457
Open Access | Times Cited: 5
Development and Validation of a Respiratory-Responsive Vocal Biomarker–Based Tool for Generalizable Detection of Respiratory Impairment: Independent Case-Control Studies in Multiple Respiratory Conditions Including Asthma, Chronic Obstructive Pulmonary Disease, and COVID-19
Savneet Kaur, Erik Larsen, James D. Harper, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44410-e44410
Open Access | Times Cited: 13
Artificial Intelligence in COVID-19 Management: A Systematic Review
Samaneh Mohammadi, Samaneh Mohammadi, SeyedAhmad SeyedAlinaghi, et al.
Journal of Computer Science (2023) Vol. 19, Iss. 5, pp. 554-568
Open Access | Times Cited: 13
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: 12
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)
Karim Kassem, Michela Sperti, Andrea Cavallo, et al.
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102841-102841
Open Access | Times Cited: 4
A predictive model for hospitalization and survival to COVID-19 in a retrospective population-based study
Alejandro Cisterna‐García, Antonio Guillén-Teruel, Marcos Caracena, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 17
Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
Goizalde Badiola-Zabala, José Manuel López-Guede, Julián Estévez, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1005-1005
Open Access | Times Cited: 3
An Individualized Algorithm to Predict Mortality in COVID-19 Pneumonia: a Machine Learning Based Study
Maria Elena Laino, Elena Generali, Tobia Tommasini, et al.
Archives of Medical Science (2022)
Open Access | Times Cited: 14
External validation of the 4C Mortality Score for hospitalised patients with COVID-19 in the RECOVER network
Alexandra June Gordon, Prasanthi Govindarajan, Christopher Bennett, et al.
BMJ Open (2022) Vol. 12, Iss. 4, pp. e054700-e054700
Open Access | Times Cited: 14
How Artificial Intelligence and New Technologies Can Help the Management of the COVID-19 Pandemic
Davide Barbieri, Enrico Giuliani, A. Del Prete, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 14, pp. 7648-7648
Open Access | Times Cited: 18
Machine learning-based mortality prediction models for smoker COVID-19 patients
Ali Sharifi-Kia, Azin Nahvijou, Abbas Sheikhtaheri
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Emerging Technologies Used in Health Management and Efficiency Improvement During Different Contact Tracing Phases Against COVID-19 Pandemic
Maggie E. Gendy, Mehmet Rasit Yuce
IEEE Reviews in Biomedical Engineering (2022) Vol. 16, pp. 38-52
Closed Access | Times Cited: 10
Predicting the mortality of patients with Covid‐19: A machine learning approach
Hassan Emami, Reza Rabiei, Solmaz Sohrabei, et al.
Health Science Reports (2023) Vol. 6, Iss. 4
Open Access | Times Cited: 5
Effects of the pre-existing coronary heart disease on the prognosis of COVID-19 patients: A systematic review and meta-analysis
Saikun Wang, Ruiting Zhu, Chengwei Zhang, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292021-e0292021
Open Access | Times Cited: 5
Machine Learning-Based COVID-19 Diagnosis by Demographic Characteristics and Clinical Data
Fatemeh Abdollah Gorji, Sajad Shafiekhani, Peyman Namdar, et al.
Advances in respiratory medicine (2022) Vol. 90, Iss. 2, pp. 171-183
Open Access | Times Cited: 9
Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning
Khandaker Reajul Islam, Jaya Kumar, Toh Leong Tan, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2144-2144
Open Access | Times Cited: 8
Machine-learning-derived predictive score for early estimation of COVID-19 mortality risk in hospitalized patients
Alba González–Cebrián, Joan Borràs‐Ferrís, Juan Pablo Ordovás Baines, et al.
PLoS ONE (2022) Vol. 17, Iss. 9, pp. e0274171-e0274171
Open Access | Times Cited: 7
Artificial Intelligence in Digital Pathology: What Is the Future? Part 2: An Investigation on the Insiders
Maria Rosaria Giovagnoli, Sara Ciucciarelli, Livia Castrichella, et al.
Healthcare (2021) Vol. 9, Iss. 10, pp. 1347-1347
Open Access | Times Cited: 8
Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study
Marika Vezzoli, Riccardo M. Inciardi, Chiara Oriecuia, et al.
Journal of Cardiovascular Medicine (2022) Vol. 23, Iss. 7, pp. 439-446
Open Access | Times Cited: 6
Active preference-based optimization for human-in-the-loop feature selection
Federico Bianchi, Luigi Piroddi, Alberto Bemporad, et al.
European Journal of Control (2022) Vol. 66, pp. 100647-100647
Open Access | Times Cited: 5
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