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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:

Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review
Norah Alballa, Isra Al-Turaiki
Informatics in Medicine Unlocked (2021) Vol. 24, pp. 100564-100564
Open Access | Times Cited: 193

Showing 1-25 of 193 citing articles:

Time series prediction of COVID-19 transmission in America using LSTM and XGBoost algorithms
Junling Luo, Zhong-Liang Zhang, Yao Fu, et al.
Results in Physics (2021) Vol. 27, pp. 104462-104462
Open Access | Times Cited: 109
Machine Learning Techniques for Chronic Kidney Disease Risk Prediction
Ηλίας Δρίτσας, Μαρία Τρίγκα
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 3, pp. 98-98
Open Access | Times Cited: 70
Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment
Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 527-527
Open Access | Times Cited: 46
Role of Artificial Intelligence in Revolutionizing Drug Discovery
Ashfaq Ur Rehman, Mingyu Li, Binjian Wu, et al.
Fundamental Research (2024)
Open Access | Times Cited: 21
Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Images: Machine Learning and Deep Learning Approaches for Diagnosis and Treatment
Roberta Fusco, Roberta Grassi, Vincenza Granata, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 10, pp. 993-993
Open Access | Times Cited: 75
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning
Krishnaraj Chadaga, Chinmay Chakraborty, Srikanth Prabhu, et al.
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 2, pp. 452-470
Open Access | Times Cited: 49
Machine learning approaches in Covid-19 severity risk prediction in Morocco
Mariam Laatifi, Samira Douzi, Abdelaziz Bouklouz, et al.
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 47
An Intelligent ECG-Based Tool for Diagnosing COVID-19 via Ensemble Deep Learning Techniques
Omneya Attallah
Biosensors (2022) Vol. 12, Iss. 5, pp. 299-299
Open Access | Times Cited: 43
A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 439-439
Open Access | Times Cited: 30
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: 29
Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study
Miguel Ortíz‐Barrios, Sebastián Arias-Fonseca, Alessio Ishizaka, et al.
Journal of Business Research (2023) Vol. 160, pp. 113806-113806
Open Access | Times Cited: 21
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
Role of Artificial Intelligence in COVID-19 Detection
Anjan Gudigar, U. Raghavendra, Sneha Nayak, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8045-8045
Open Access | Times Cited: 49
Impact of SARS-CoV-2 in Online Education, Predicting and Contrasting Mental Stress of Young Students: A Machine Learning Approach
Kothai Parthiban, Digvijay Pandey, Binay Kumar Pandey
Augmented Human Research (2021) Vol. 6, Iss. 1
Closed Access | Times Cited: 44
A comparison of machine learning algorithms in predicting COVID-19 prognostics
Serpil Üstebay, Abdurrahman Sarmış, Gülsüm Kübra Kaya, et al.
Internal and Emergency Medicine (2022) Vol. 18, Iss. 1, pp. 229-239
Open Access | Times Cited: 30
Transparency of Artificial Intelligence in Healthcare: Insights from Professionals in Computing and Healthcare Worldwide
José Bernal, Claudia Mazo
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10228-10228
Open Access | Times Cited: 30
HC-COVID
Ziyi Kou, Lanyu Shang, Yang Zhang, et al.
Proceedings of the ACM on Human-Computer Interaction (2022) Vol. 6, Iss. GROUP, pp. 1-25
Open Access | Times Cited: 29
A novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction
Vitaliy Yakovyna, Nataliya Shakhovska, Aleksandra Szpakowska
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
A new hybrid ensemble machine-learning model for severity risk assessment and post-COVID prediction system
Nataliya Shakhovska, Vitaliy Yakovyna, Valentyna Chopyak
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 6, pp. 6102-6123
Open Access | Times Cited: 26
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: 26
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
Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model
Anne de Hond, Ilse Kant, Mattia Fornasa, et al.
Critical Care Medicine (2022) Vol. 51, Iss. 2, pp. 291-300
Open Access | Times Cited: 23
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
Lorenzo Famiglini, Andrea Campagner, Anna Carobene, et al.
Medical & Biological Engineering & Computing (2022)
Open Access | Times Cited: 22
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
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: 13
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