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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:

Comparing machine learning algorithms for predicting COVID-19 mortality
Khadijeh Moulaei, Mostafa Shanbehzadeh, Zahra Mohammadi-Taghiabad, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 121

Showing 1-25 of 121 citing articles:

Examination of the Effects of Long-term COVID-19 Impacts on Patients with Neurological Disabilities Using a Neuromachine Learning Model
A Vaniprabha, J Logeshwaran, T. Kiruthiga, et al.
Deleted Journal (2022) Vol. 1, Iss. 1, pp. 21-28
Open Access | Times Cited: 92
A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department
Zahra Rahmatinejad, Toktam Dehghani, Benyamin Hoseini, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 25
The Examination of the Effects of Long-term COVID-19 Impacts on Patients with Neurological Disabilities Using a Neuromachine Learning Model
A. Vaniprabha, J. Logeshwaran, T. Kiruthiga, et al.
Deleted Journal (2023) Vol. 1, Iss. 1, pp. 22-29
Open Access | Times Cited: 42
Prognostic models in COVID-19 infection that predict severity: a systematic review
Chepkoech Buttia, Erand Llanaj, Hamidreza Raeisi‐Dehkordi, et al.
European Journal of Epidemiology (2023) Vol. 38, Iss. 4, pp. 355-372
Open Access | Times Cited: 35
Challenges and prospects of visual contactless physiological monitoring in clinical study
Bin Huang, Shen Hu, Zimeng Liu, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 23
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
An artificial neural network method for probabilistic life prediction of corroded reinforced concrete
Jianxiong Gao, Haojin Yang
International Journal of Fatigue (2024) Vol. 186, pp. 108418-108418
Closed Access | Times Cited: 14
Machine learning in infectious diseases: potential applications and limitations
Ahmad Z. Al Meslamani, Isidro Sobrino, José de la Fuente
Annals of Medicine (2024) Vol. 56, Iss. 1
Open Access | Times Cited: 13
Evaluating the Application of Machine Learning in Predicting the Mortality of Hospitalized COVID-19 Patients Using the Confusion Matrix and the Matthews Correlation Coefficient
Maryam Salari, Seyed Masoud Sadati, Alireza Sedaghat, et al.
Archives of Clinical Infectious Diseases (2025) Vol. 20, Iss. 2
Open Access | Times Cited: 1
Predicting total healthcare demand using machine learning: separate and combined analysis of predisposing, enabling, and need factors
Fatih Orhan, Mehmet Nurullah Kurutkan
BMC Health Services Research (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Using machine learning in prediction of ICU admission, mortality, and length of stay in the early stage of admission of COVID-19 patients
Sara Saadatmand, Khodakaram Salimifard, Reza Mohammadi, et al.
Annals of Operations Research (2022) Vol. 328, Iss. 1, pp. 1043-1071
Open Access | Times Cited: 34
Application of Machine Learning to Predict COVID-19 Spread via an Optimized BPSO Model
Eman H. Alkhammash, Sara A. Assiri, Dalal Nemenqani, et al.
Biomimetics (2023) Vol. 8, Iss. 6, pp. 457-457
Open Access | Times Cited: 23
COVID-19 hospitalizations and deaths predicted by SARS-CoV-2 levels in Boise, Idaho wastewater
Swarna Kanchan, Ernie Ogden, Minu Kesheri, et al.
The Science of The Total Environment (2023) Vol. 907, pp. 167742-167742
Closed Access | Times Cited: 19
Predicting hospital readmission risk in patients with COVID-19: A machine learning approach
Mohammad Reza Afrash, Hadi Kazemi-Arpanahi, Mostafa Shanbehzadeh, et al.
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100908-100908
Open Access | Times Cited: 25
Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features
Siavash Shirzadeh Barough, Seyed Amir Ahmad Safavi‐Naini, Fatemeh Siavoshi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data
Seyed Salman Zakariaee, Negar Naderi, Mahdi Ebrahimi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Divorce prediction using machine learning algorithms in Ha’il region, KSA
Abdelkader Moumen, Ayesha Shafqat, Tariq Alraqad, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset
Samuel Oduse, Temesgen Zewotir, Delia North
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Application of machine learning models based on decision trees in classifying the factors affecting mortality of COVID-19 patients in Hamadan, Iran
Samad Moslehi, Niloofar Rabiei, Ali Reza Soltanian, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 22
Entropy and improved k‐nearest neighbor search based under‐sampling (ENU) method to handle class overlap in imbalanced datasets
Anil Kumar, Dinesh Singh, Rama Shankar Yadav
Concurrency and Computation Practice and Experience (2023) Vol. 36, Iss. 2
Closed Access | Times Cited: 11
Early Detection of Cardiovascular Disease Utilizing Machine Learning Techniques: Evaluating the Predictive Capabilities of Seven Algorithms
Maad M. Mijwil, Alaa K. Faieq, Mohammad Aljanabi
Iraqi Journal for Computer Science and Mathematics (2024) Vol. 5, Iss. 1, pp. 263-276
Open Access | Times Cited: 4
SEL-COVIDNET: An intelligent application for the diagnosis of COVID-19 from chest X-rays and CT-scans
Ahmad Al Smadi, Ahed Abugabah, Ahmad Mohammad Al-smadi, et al.
Informatics in Medicine Unlocked (2022) Vol. 32, pp. 101059-101059
Open Access | Times Cited: 17
Machine learning algorithms in sepsis
Luisa Agnello, Matteo Vidali, Andrea Padoan, et al.
Clinica Chimica Acta (2023) Vol. 553, pp. 117738-117738
Closed Access | Times Cited: 10
Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients
Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Lymphocyte Inhibition Mechanisms and Immune Checkpoints in COVID-19: Insights into Prognostic Markers and Disease Severity
Martina Schniederova, Anna Bobčáková, Marián Grendár, et al.
Medicina (2025) Vol. 61, Iss. 2, pp. 189-189
Open Access
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