Open Access Helper

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:

Maximum likelihood-based extended Kalman filter for COVID-19 prediction
Jialu Song, Hujin Xie, Bingbing Gao, et al.
Chaos Solitons & Fractals (2021) Vol. 146, pp. 110922-110922
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Long-Term Prediction of Large-Scale and Sporadic COVID-19 Epidemics Induced by the Original Strain in China Based on the Improved Nonautonomous Delayed Susceptible-Infected-Recovered-Dead and Susceptible-Infected-Removed Models
Xin Xie, Lijun Pei
Journal of Computational and Nonlinear Dynamics (2024) Vol. 19, Iss. 4
Closed Access
Kalman filter based on a fractional discrete-time stochastic augmented CoVid-19 model
Mohammad Ghani, Dwi Rantini, Maryamah Maryamah
Journal of Biosafety and Biosecurity (2024) Vol. 6, Iss. 2, pp. 76-98
Open Access
Chaotic characteristic analysis and prediction of bottleneck-delay time series under the Internet macro-topology
He Tian, Kaihong Guo
The European Physical Journal Plus (2024) Vol. 139, Iss. 6
Closed Access
Bayesian model selection for COVID-19 pandemic state estimation using extended Kalman filters: Case study for Saudi Arabia
Lamia Alyami, Saptarshi Das, Stuart Townley
PLOS Global Public Health (2024) Vol. 4, Iss. 7, pp. e0003467-e0003467
Open Access
A new method for the estimation of stochastic epidemic descriptors reinforced by Kalman-based dynamic parameter estimation. Application to mpox data.
Vasileios E. Papageorgiou, Georgios Vasiliadis, George Tsaklidis
Mathematical Biosciences (2024) Vol. 381, pp. 109365-109365
Closed Access
An EKF Prediction of COVID-19 Propagation under Vaccinations and Viral Variants
Xinhe Zhu, Yunfeng Shi, Yongmin Zhong
Mathematics and Computers in Simulation (2024)
Closed Access
Extended Skew Kalman Filters for COVID-19 Pandemic State Estimation
Lamia Alyami, Saptarshi Das
(2023), pp. 162-167
Open Access | Times Cited: 1
Method for the Analysis of Health Personnel Availability in a Pandemic Crisis Scenario through Monte Carlo Simulation
Tamara Pando-Ezcurra, Wilver Auccahuasi, Esther Rosa Saenz Arenas, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8299-8299
Open Access | Times Cited: 1
Joint Estimation of States and Parameters in Stochastic SIR Model
Peng Liu, Gustaf Hendeby, Fredrik Gustafsson
(2022), pp. 1-6
Open Access | Times Cited: 1
A new model of unreported COVID-19 cases outperforms three known epidemic-growth models in describing data from Cuba and Spain
Erick Eduardo Ramirez-Torres, Antonio Rafael Selva Castañeda, L. Rández, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Recursive State and Parameter Estimation of COVID-19 Circulating Variants Dynamics
Daniel Martins Silva, Argimiro R. Secchi
Research Square (Research Square) (2021)
Open Access | Times Cited: 1
Simulating the Mpox Early Outbreak: Dynamic-Spread Assessment via vSEIR Modelling and Kink Detection in Disease Transmission
Jian Zhou, Rui Xu, Haoran Gu, et al.
SSRN Electronic Journal (2023)
Closed Access
Simulating the early mpox outbreak: Dynamic-spread assessment via vSEIR model and kink detection in disease transmission
Junyang Cai, Jian Zhou, Rui Xu, et al.
Authorea (Authorea) (2023)
Open Access
Big data in COVID-19 prevention and control: Modeling and analysis report
Wang Haolun
Applied and Computational Engineering (2023) Vol. 6, Iss. 1, pp. 857-866
Open Access
Analysis of Covid-19 Dynamics in Brazil by Recursive State and Parameter Estimations
Daniel Martins Silva, Argimiro R. Secchi
(2023), pp. 335-374
Closed Access
Reproduction number projection for the COVID-19 pandemic
Ryan Lester Benjamin
Advances in Continuous and Discrete Models (2023) Vol. 2023, Iss. 1
Open Access
A Head/Tail Breaks-Based Approach to Characterizing Space-Time Risks of COVID-19 Epidemic in China’s Cities
Tingting Wu, Jianhua Gong, Jin Luo, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 12, pp. 485-485
Open Access
Automatic Detection of Covid-19 in CT Images Using an Optimized Deep Neural Network Classifier
K. Jayanthi G. Prabakaran
Tuijin Jishu/Journal of Propulsion Technology (2023) Vol. 44, Iss. 4, pp. 3691-3708
Open Access
Basic reproduction number projection for novel pandemics and variants. Ancestral SARS-CoV2 R0 projection
Ryan Lester Benjamin
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
A Hybrid SEIHCRDV-UKF Model for COVID-19 Prediction. Application on real-time data
Vasileios E. Papageorgiou, George Tsaklidis
Research Square (Research Square) (2022)
Open Access
A Hybrid SEIHCRDV-UKF Model for COVID-19 Prediction. Application on real-time data
Vasileios E. Papageorgiou, George Tsaklidis
Research Square (Research Square) (2022)
Open Access
DeepCov: Effective Prediction Model of Covid-19 using CNN algorithm
Rike Pradila
International Journal of Informatics and Computation (2022) Vol. 4, Iss. 1, pp. 33-33
Open Access
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