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:

Multi-Regional Modeling of Cumulative COVID-19 Cases Integrated with Environmental Forest Knowledge Estimation: A Deep Learning Ensemble Approach
Abdelgader Alamrouni, Fidan Aslanova, Sagiru Mati, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 2, pp. 738-738
Open Access | Times Cited: 31

Showing 26-50 of 31 citing articles:

Integrating ANFIS, ANN, & MLR with MCDM for Accurate Prediction of Lung Cancer for Improved Clinical Decision Support
Efe Precious Onakpojeruo, Dilber Uzun Ozsahin, Leena R. David, et al.
(2024), pp. 445-450
Closed Access

Extraction of Features from Lung Image for the Detection of Covid-19
M Sushmitha, S Anjana, R. Bharathi, et al.
(2024), pp. 1676-1681
Closed Access

Tracking machine learning models for pandemic scenarios: a systematic review of machine learning models that predict local and global evolution of pandemics
Marcelo Benedeti Palermo, Lucas Micol Policarpo, Cristiano André da Costa, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 2

A Distributed Ensemble of Diverse Deep Learning Models for Predicting COVID-19 Cases
Mohammad Mehedi Hassan, Mabrook Al‐Rakhami, Ahmed Zohier Elhendi, et al.
(2023), pp. 585-589
Closed Access

A predictive model for daily cumulative COVID-19 cases in Ghana
Abdul‐Karim Iddrisu, Emmanuel A. Amikiya, Dominic Otoo
F1000Research (2022) Vol. 10, pp. 343-343
Open Access

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