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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:

Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, et al.
Chaos Solitons & Fractals (2020) Vol. 139, pp. 110027-110027
Open Access | Times Cited: 127

Showing 26-50 of 127 citing articles:

A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning
Weiqiu Jin, Shuqing Dong, Chengqing Yu, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105560-105560
Open Access | Times Cited: 35
The case of Tehran's urban heat island, Iran: Impacts of urban ‘lockdown’ associated with the COVID-19 pandemic
Gholamreza Roshan, Reza Sarli, Stefan Grab
Sustainable Cities and Society (2021) Vol. 75, pp. 103263-103263
Open Access | Times Cited: 35
One-Year Lesson: Machine Learning Prediction of COVID-19 Positive Cases with Meteorological Data and Mobility Estimate in Japan
Essam A. Rashed, Akimasa Hirata
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5736-5736
Open Access | Times Cited: 33
Ladybug Beetle Optimization algorithm: application for real-world problems
Saadat Safiri, Amirhossein Nikoofard
The Journal of Supercomputing (2022) Vol. 79, Iss. 3, pp. 3511-3560
Open Access | Times Cited: 26
Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19
Mohammad Jamshidi, Sobhan Roshani, Fatemeh Daneshfar, et al.
AI (2022) Vol. 3, Iss. 2, pp. 416-433
Open Access | Times Cited: 22
A novel framework for modeling quarantinable disease transmission
Wenchen Liu, Chang Liu, Dehui Wang, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317553-e0317553
Open Access
Novel spatiotemporal feature extraction parallel deep neural network for forecasting confirmed cases of coronavirus disease 2019
Chiou-Jye Huang, Yamin Shen, Ping‐Huan Kuo, et al.
Socio-Economic Planning Sciences (2020) Vol. 80, pp. 100976-100976
Open Access | Times Cited: 36
Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods
Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho
Journal of Biomedical Informatics (2020) Vol. 111, pp. 103575-103575
Open Access | Times Cited: 34
Artificial Intelligence: Technology 4.0 as a solution for healthcare workers during COVID-19 pandemic
Anuj Kumar, Purvi Pujari, Nimit Gupta
Acta Universitatis Bohemiae Meridionalis (2021) Vol. 24, Iss. 1, pp. 19-35
Open Access | Times Cited: 29
Numerical treatment on the new fractional-order SIDARTHE COVID-19 pandemic differential model via neural networks
Ayse Nur Akkılıc, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, et al.
The European Physical Journal Plus (2022) Vol. 137, Iss. 3
Open Access | Times Cited: 21
COVID-19 Modeling: A Review
Longbing Cao, Qing Liu
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 21
COVID-19 health policy evaluation: integrating health and economic perspectives with a data envelopment analysis approach
Matthias Klumpp, Dominic Loske, Silvio Bicciato
The European Journal of Health Economics (2022) Vol. 23, Iss. 8, pp. 1263-1285
Open Access | Times Cited: 19
A combined model using secondary decomposition for crude oil futures price and volatility forecasting: Analysis based on comparison and ablation experiments
Hao Gong, H. Y. Xing, Yuanyuan Yu, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124196-124196
Closed Access | Times Cited: 4
Artificial intelligence and the future of life sciences
Michel Lopes Leite, Lorena Sousa de Loiola Costa, Victor Albuquerque Cunha, et al.
Drug Discovery Today (2021) Vol. 26, Iss. 11, pp. 2515-2526
Closed Access | Times Cited: 26
Comparison of COVID-19 infection risks through aerosol transmission in supermarkets and small shops
Chunying Li, Haida Tang
Sustainable Cities and Society (2021) Vol. 76, pp. 103424-103424
Open Access | Times Cited: 25
Decision support analysis for risk identification and control of patients affected by COVID-19 based on Bayesian Networks
Jiang Shen, Liu Fu-sheng, Man Xu, et al.
Expert Systems with Applications (2022) Vol. 196, pp. 116547-116547
Open Access | Times Cited: 18
Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models
Nemesio Fava Sopelsa Neto, Stéfano Frizzo Stefenon, Luiz Henrique Meyer, et al.
(2022)
Open Access | Times Cited: 18
Modelling and forecasting new cases of Covid-19 in Nigeria: Comparison of regression, ARIMA and machine learning models
S.I. Busari, Timothy Kayode Samson
Scientific African (2022) Vol. 18, pp. e01404-e01404
Open Access | Times Cited: 16
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: A case study in the capitals of Brazil
Tiago Tiburcio da Silva, Rodrigo Francisquini, Mariá C. V. Nascimento
Expert Systems with Applications (2021) Vol. 182, pp. 115190-115190
Open Access | Times Cited: 22
A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis
Tarneem Elemam, Mohamed Elshrkawey
The Scientific World JOURNAL (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 14
A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media
Muhammad Junaid Butt, Ahmad Kamran Malik, Muhammad Usman Qamar, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5543-5543
Open Access | Times Cited: 8
Hospital Outpatient Volume Prediction Model Based on Gated Recurrent Unit Optimized by the Modified Cheetah Optimizer
Reziwan Keyimu, Wumaier Tuerxun, Yan Feng, et al.
IEEE Access (2023) Vol. 11, pp. 139993-140006
Open Access | Times Cited: 8
The role of the mass vaccination programme in combating the COVID-19 pandemic: An LSTM-based analysis of COVID-19 confirmed cases
Seng Hansun, Vincent Charles, Tatiana Gherman
Heliyon (2023) Vol. 9, Iss. 3, pp. e14397-e14397
Open Access | Times Cited: 7
Scrutinizing the heterogeneous spreading of COVID-19 outbreak in large territorial countries
Rafael M. da Silva, Carlos F. O. Mendes, Cesar Manchein
Physical Biology (2020) Vol. 18, Iss. 2, pp. 025002-025002
Open Access | Times Cited: 20
Nonstationary Time Series Prediction Based on Deep Echo State Network Tuned by Bayesian Optimization
Yuting Bai, Wei Jia, Xuebo Jin, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1503-1503
Open Access | Times Cited: 6

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