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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:

Identification of high-risk COVID-19 patients using machine learning
Mario A. Quiroz‐Juárez, Armando Torres Gómez, Irma Hoyo-Ulloa, et al.
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0257234-e0257234
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Long-COVID diagnosis: From diagnostic to advanced AI-driven models
Riccardo Cau, Gavino Faa, Valentina Nardi, et al.
European Journal of Radiology (2022) Vol. 148, pp. 110164-110164
Open Access | Times Cited: 59
Conventional and Novel Diagnostic Tools for the Diagnosis of Emerging SARS-CoV-2 Variants
Vivek P. Chavda, Disha Valu, Palak K. Parikh, et al.
Vaccines (2023) Vol. 11, Iss. 2, pp. 374-374
Open Access | Times Cited: 30
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: 11
An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works
Ercan Gürsoy, Yasin Kaya
Multimedia Systems (2023) Vol. 29, Iss. 3, pp. 1603-1627
Open Access | Times Cited: 20
Clinical Profiles at the Time of Diagnosis of SARS-CoV-2 Infection in Costa Rica During the Pre-vaccination Period Using a Machine Learning Approach
José Arturo Molina-Mora, Alejandra Dobarro González, Sergio Jiménez Morgan, et al.
Phenomics (2022) Vol. 2, Iss. 5, pp. 312-322
Open Access | Times Cited: 23
A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities
José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
A Generalizable Ai Framework for Medical Case Classification: Integrating Contrastive Learning and Ensemble Models in Resource-Constrained Settings
Humberto Sossa, Mahmoud Rokaya, Samah H. Alajmani, et al.
(2025)
Closed Access
COVID-19 detection based on self-supervised transfer learning using chest X-ray images
Guang Li, Ren Togo, Takahiro Ogawa, et al.
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 18, Iss. 4, pp. 715-722
Open Access | Times Cited: 19
Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic
Alicia de Manuel, Janet Delgado, Iris Parra Jounou, et al.
Big Data & Society (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 11
Multi-modal fusion of deep transfer learning based COVID-19 diagnosis and classification using chest x-ray images
A. Siva Krishna Reddy, K. N. Brahmaji Rao, Narasimha Reddy Soora, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 8, pp. 12653-12677
Open Access | Times Cited: 17
A Survey on the Role of Artificial Intelligence in Biobanking Studies: A Systematic Review
Gopi Battineni, Mohammad Amran Hossain, Nalini Chintalapudi, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1179-1179
Open Access | Times Cited: 16
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: 9
Classification of COVID-19 Patients into Clinically Relevant Subsets by a Novel Machine Learning Pipeline Using Transcriptomic Features
Andrea R. Daamen, Prathyusha Bachali, Amrie C. Grammer, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 5, pp. 4905-4905
Open Access | Times Cited: 8
Risk Factors Associated with COVID-19 Lethality: A Machine Learning Approach Using Mexico Database
Alejandro Carvantes-Barrera, Lorena Díaz‐González, Mauricio Rosales-Rivera, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Closed Access | Times Cited: 4
DeepCOVID-Fuse: A Multi-Modality Deep Learning Model Fusing Chest X-rays and Clinical Variables to Predict COVID-19 Risk Levels
Yunan Wu, Amil Dravid, Ramsey M. Wehbe, et al.
Bioengineering (2023) Vol. 10, Iss. 5, pp. 556-556
Open Access | Times Cited: 4
A machine learning approach to differentiate between COVID-19 and influenza infection using synthetic infection and immune response data
Suzan Farhang‐Sardroodi, Mohammad Sajjad Ghaemi, Morgan Craig, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 6, pp. 5813-5831
Open Access | Times Cited: 7
Automatic Diagnosis of COVID-19 Based on Machine Learning
Zhuoyang Li, Shu-yang Yu
(2023)
Closed Access | Times Cited: 3
Machine Learning with Human Resources Data: Predicting Turnover among Community Mental Health Center Employees.
Sadaaki Fukui, Wei Wu, Jaime Greenfield, et al.
PubMed (2023) Vol. 26, Iss. 2, pp. 63-76
Closed Access | Times Cited: 3
Prognostic Model of COVID-19 Severity and Survival among Hospitalized Patients Using Machine Learning Techniques
Ivano Lodato, Aditya Iyer, Isaac Zachary To, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2728-2728
Open Access | Times Cited: 5
Confined hydrogen atom: endohedrals H@C36 and H@C60
Horacio Olivares‐Pilón, A. M. Escobar-Ruiz, Mario A. Quiroz‐Juárez, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 1, pp. 015024-015024
Open Access | Times Cited: 2
Investigating the performance of machine learning algorithms in predicting the survival of COVID‐19 patients: A cross section study of Iran
Azita Yazdani, Somayeh Kianian Bigdeli, Maryam Zahmatkeshan
Health Science Reports (2023) Vol. 6, Iss. 4
Open Access | Times Cited: 2
Convergencia de la inteligencia artificial y la nanotecnología
Cesar Alberto Torres-Solis, Mario A. Quiroz‐Juárez
Mundo Nano Revista Interdisciplinaria en Nanociencia y Nanotecnología (2023) Vol. 16, Iss. 31, pp. 1e-14e
Open Access | Times Cited: 2
COVID 19 Patient Recognition and Prevention Utilizing Machine Learning and CNN Model Techniques
Avala Raji Reddy, Ch. Narendar, K Srinu, et al.
(2023), pp. 677-686
Closed Access | Times Cited: 2
Hematological- and Immunological-Related Biomarkers to Characterize Patients with COVID-19 from Other Viral Respiratory Diseases
R. Suárez del Villar, Diego Martínez‐Urbistondo, Amanda Cuevas‐Sierra, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 13, pp. 3578-3578
Open Access | Times Cited: 3
Identifying the High-Risk Population for COVID-19 Transmission in Hong Kong Leveraging Explainable Machine Learning
Zhihan Jiang, Ka Man Yip, Xinchen Zhang, et al.
Healthcare (2022) Vol. 10, Iss. 9, pp. 1624-1624
Open Access | Times Cited: 3
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