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:

Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling
Xinhe Zhu, Bingbing Gao, Yongmin Zhong, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104810-104810
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Inference of a Susceptible–Infectious stochastic model
Giuseppina Albano, Virginia Giorno, Francisco Torres‐Ruiz
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 9, pp. 7067-7083
Open Access

Modeling the COVID-19 incorporating oil futures
Moawia Alghalith, Christos Floros, Theodoros Daglis, et al.
Research Square (Research Square) (2024)
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

Recursive state and parameter estimation of COVID-19 circulating variants dynamics
Daniel Martins Silva, Argimiro R. Secchi
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 3

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

Extended Skew Kalman Filters for COVID-19 Pandemic State Estimation
Lamia Alyami, Saptarshi Das
(2023), pp. 162-167
Open Access | Times Cited: 1

A new hybrid prediction model of COVID-19 daily new case data
Guohui Li, Jin Lu, Kang Chen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106692-106692
Open Access | Times Cited: 1

Stochastic dynamical behavior of COVID-19 model based on secondary vaccination
Xinyu Bai, Shaojuan Ma
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 2, pp. 2980-2997
Open Access | Times Cited: 2

Important factors affecting the transmission rate of COVID-19 in G20 and EU
Ozan Kocadağlı
Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi (2022)
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

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

Mathematical modelling and stability analysis of the SEQIRD model spread of COVID-19
Shafira Meiria Rahmasari, Widowati Widowati, Ratna Herdiana
AIP conference proceedings (2023) Vol. 2760, pp. 020015-020015
Closed Access

Modeling the COVID-19: A case study based on oil futures
Moawia Alghalith, Christos Floros, Theodoros Daglis, et al.
Research Square (Research Square) (2023)
Open Access

Reaction-diffusion equations in mathematical models arising in epidemiology
Vasyl’ Davydovych, V. A. Dutka, Roman Cherniha
arXiv (Cornell University) (2023)
Open Access

Control Lyapunov-Barrier Function Based Stochastic Model Predictive Control for COVID-19 Pandemic
Weijiang Zheng, Bing Zhu, Xianming Ye, et al.
IFAC-PapersOnLine (2023) Vol. 56, Iss. 2, pp. 6531-6536
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

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