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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:

Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview
Ammar H. Elsheikh, Amal I. Saba, Hitesh Panchal, et al.
Healthcare (2021) Vol. 9, Iss. 12, pp. 1614-1614
Open Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

Spatio-temporal analysis of COVID-19 lockdown effect to survive in the US counties using ANN
Reyhane Jalali, Hossein Etemadfard
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Predicting the Temperature Evolution during Nanomilling of Drug Suspensions via a Semi-Theoretical Lumped-Parameter Model
Gulenay Guner, Dogacan Yilmaz, Helen Yao, et al.
Pharmaceutics (2022) Vol. 14, Iss. 12, pp. 2840-2840
Open Access | Times Cited: 7
Towards edge devices implementation: deep learning model with visualization for COVID-19 prediction from chest X-ray
Shaline Jia Thean Koh, Marwan Nafea, Hermawan Nugroho
Advances in Computational Intelligence (2022) Vol. 2, Iss. 5
Open Access | Times Cited: 6
Reinforcement Learning and Stochastic Optimization with Deep Learning-Based Forecasting on Power Grid Scheduling
Cheng Yang, Jihai Zhang, Wei Jiang, et al.
Processes (2023) Vol. 11, Iss. 11, pp. 3188-3188
Open Access | Times Cited: 3
Reusing personal protective equipment and waste plastics in biofuel production and use in diesel engines: Priority for the COVID-19 pandemic
V. S. Kumbhar, Anand Kumar Pandey, Fahad M. Alqahtani, et al.
Environmental Challenges (2023) Vol. 14, pp. 100815-100815
Open Access | Times Cited: 3
Mechanisms of Piperacillin/Tazobactam Nephrotoxicity: Piperacillin/Tazobactam-Induced Direct Tubular Damage in Mice
Jihyun Yang, Yoon Sook Ko, Hee Young Lee, et al.
Antibiotics (2023) Vol. 12, Iss. 7, pp. 1121-1121
Open Access | Times Cited: 2
Comparison of Parametric and Nonparametric Forecasting Methods for Daily COVID-19 Cases in Malaysia
I Made Artha Agastya, Afrig Aminuddin
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 4, pp. 2394-2394
Open Access | Times Cited: 2
Forecasting admissions in psychiatric hospitals before and during Covid-19: a retrospective study with routine data
Jan Wolff, A. Klimke, Michael Marschollek, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 3
Unveiling the predictive power: a comprehensive study of machine learning model for anticipating chronic kidney disease
Nitasha Khan, Muhammad Amir Raza, Nayyar Hussain Mirjat, et al.
Frontiers in Artificial Intelligence (2024) Vol. 6
Open Access
An efficient black widow optimization-based faster R-CNN for classification of COVID-19 from CT images
S. Arul Vijaya Vani, P. Malathi, V. Jeya Ramya, et al.
Multimedia Systems (2024) Vol. 30, Iss. 2
Closed Access
Análisis del Comportamiento de Datos Médicos de COVID -19 mediante Inteligencia Artificial
Roberto Carlos Hernández Aparicio, María del Carmen Santiago Díaz, Ana Claudia Zenteno Vázquez, et al.
Revista Perspectivas (2024) Vol. 6, Iss. 2
Open Access
A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming
Gontzal Sagastabeitia, Josu Doncel, Antonio Fernández Anta, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-10
Closed Access
Mathematical and Statistical Modelling for Assessing COVID-19 Superspreader Contagion: Analysis of Geographical Heterogeneous Impacts from Public Events
Conceição Leal, Leonel Morgado, Teresa Oliveira
Mathematics (2023) Vol. 11, Iss. 5, pp. 1156-1156
Open Access | Times Cited: 1
Forecasting Omicron Variant of Covid-19 with ANN Model in European Countries – Number of Cases, Deaths, and ICU Patients
Kathleen Carvalho, Luís Paulo Reis, João Paulo Teixeira
Communications in computer and information science (2022), pp. 457-469
Closed Access | Times Cited: 2
Data driven contagion risk management in low-income countries using machine learning applications with COVID-19 in South Asia
Abu Shonchoy, Moogdho Mahzab, Towhid Mahmood, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access
Analysis of the Professional Aspects of Medical Drugs Industry in the Republic of Serbia in Times of COVID-19 Pandemic
Jovana Milenković, Dragana Lakić, Nataša Bogavac‐Stanojević
Sustainability (2023) Vol. 15, Iss. 11, pp. 8584-8584
Open Access
Utilizing time series for forecasting the development trend of coronavirus: A validation process
Xusong Zhang, Feng Wang
Journal of Computational Methods in Sciences and Engineering (2023) Vol. 23, Iss. 6, pp. 2923-2935
Closed Access
Comparison of Parametric and Nonparametric Forecasting Methods for Daily COVID-19 Cases in Malaysia
I Made Artha Agastya, Afrig Aminuddin
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 4, pp. 2394-2394
Open Access
AI, Epidemiology and Public Health in the Covid Pandemic
Thomas Lefèvre, Hélène Colineaux, Claire Morgand, et al.
Springer eBooks (2022), pp. 279-338
Closed Access
Comparison of the Basic Reproduction Numbers for COVID-19 through Four Waves of the Pandemic in Vietnam
Thi Ngan, Giang Thi Huong Tran, Anh Huu Dang, et al.
International Journal of Translational Medicine (2022) Vol. 3, Iss. 1, pp. 1-11
Open Access
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