Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Ensemble machine learning of factors influencing COVID-19 across US counties
David McCoy, Whitney Mgbara, Nir Horvitz, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 17

Showing 17 citing articles:

Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors
Ma’mon M. Hatmal, Mohammad A. I. Al-Hatamleh, Amin N. Olaimat, et al.
Vaccines (2022) Vol. 10, Iss. 3, pp. 366-366
Open Access | Times Cited: 60
Hybrid machine learning approach for landslide prediction, Uttarakhand, India
Poonam Kainthura, Neelam Sharma
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 35
The Impact of the COVID-19 Pandemic on Ethnic Minority Groups With Diabetes
Kamlesh Khunti, Eva L. Feldman, Neda Laiteerapong, et al.
Diabetes Care (2022) Vol. 46, Iss. 2, pp. 228-236
Open Access | Times Cited: 25
Optimizing shared bike systems for economic gain: Integrating land use and retail
Madiha Bencekri, Yee Van Fan, Doyun Lee, et al.
Journal of Transport Geography (2024) Vol. 118, pp. 103920-103920
Closed Access | Times Cited: 1
The power of artificial intelligence for managing pandemics: A primer for public health professionals
Martin McKee, Rikard Rosenbacke, David Stuckler
The International Journal of Health Planning and Management (2024)
Open Access | Times Cited: 1
A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI
Balraj Preet Kaur, Harpreet Singh, Rahul Hans, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0308015-e0308015
Open Access | Times Cited: 1
A Hybrid LSTM and MLP Scheme for COVID-19 Prediction: A Case Study in Thailand
Peerapol Kompunt, Suparat Yongjoh, Phet Aimtongkham, et al.
Trends in Sciences (2023) Vol. 20, Iss. 10, pp. 6884-6884
Open Access | Times Cited: 3
Development of forecast models for COVID-19 hospital admissions using anonymized and aggregated mobile network data
Jalil Taghia, Valentin Kulyk, Selim İckin, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response
Wei Yu, Emily Drzymalla, Marta Gwinn, et al.
BMC Infectious Diseases (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 4
A composite ranking of risk factors for COVID-19 time-to-event data from a Turkish cohort
Ayşe Ülgen, Şirin ÇETİN, Meryem Çetin, et al.
Computational Biology and Chemistry (2022) Vol. 98, pp. 107681-107681
Open Access | Times Cited: 4
Análise de Desfechos de COVID-19 no RJ através de Técnicas de Aprendizado de Máquina
Jorge Zavaleta, Robson Eduardo Silva, Fabiano Saldanha Gomes de Oliveira, et al.
(2024), pp. 1-8
Open Access
After COVID-19: Mathematical models, epidemic preparedness, and external factors in epidemic management
Jorge X. Velasco‐Hernández
Elsevier eBooks (2023), pp. 301-324
Closed Access | Times Cited: 1
Accuracy and Performance of Machine Learning Methodologies: Novel Assessments of Country Pandemic Vulnerability Based on Non-Pandemic Predictors
Marco M. Vlajnic, Steve Simske
IEEE Access (2023) Vol. 11, pp. 90575-90594
Open Access | Times Cited: 1
Linear and nonlinear effects explaining the risk of Covid-19 infection: an empirical analysis on real data from the USA
Francesco Giordano, Sara Milito, Maria Lucia Parrella
Socio-Economic Planning Sciences (2023) Vol. 90, pp. 101732-101732
Closed Access | Times Cited: 1
High-Performing Machine Learning Algorithms for Predicting the Spread of COVID-19
David Opeoluwa Oyewola, K. A. Al-Mustapha, Asabe Ibrahim, et al.
Contributions to economics (2022), pp. 371-401
Closed Access | Times Cited: 2
A comparison of COVID-19 outbreaks across US Combined Statistical Areas using new methods for estimating R0 and social distancing behaviour
Ludovica Luisa Vissat, Nir Horvitz, Rachael V. Phillips, et al.
Epidemics (2022) Vol. 41, pp. 100640-100640
Open Access | Times Cited: 2
Application of Machine Learning Ensemble Super Learner for analysis of the cytokines transported by high density lipoproteins (HDL) of smokers and nonsmokers
Seema Singh Saharan, Pankaj Nagar, Kate Townsend Creasy, et al.
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2021), pp. 370-375
Closed Access | Times Cited: 1
Page 1

Scroll to top