Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Dynamic models for Coronavirus Disease 2019 and data analysis
Nian Shao, Min Zhong, Yue Yan, et al.
Mathematical Methods in the Applied Sciences (2020) Vol. 43, Iss. 7, pp. 4943-4949
Open Access | Times Cited: 39

Showing 26-50 of 39 citing articles:

Multi-chain Fudan-CCDC model for COVID-19—a revisit to Singapore’s case
Hanshuang Pan, Nian Shao, Yue Yan, et al.
Quantitative Biology (2020) Vol. 8, Iss. 4, pp. 325-335
Open Access | Times Cited: 2
Modeling infectious diseases: Understanding social connectivity to control infectious diseases
Samar Wazir, Surendra Gour, Md Tabrez Nafis, et al.
Informatics in Medicine Unlocked (2021) Vol. 26, pp. 100761-100761
Open Access | Times Cited: 2
Multi-chain Fudan-CCDC model for COVID-19 – a revisit to Singapore’s case
Hanshuang Pan, Nian Shao, Yue Yan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 1
Machine Learning Approaches for Temporal and Spatio-Temporal Covid-19 Forecasting: A Brief Review and a Contribution
Ana Clara Gomes da Silva, Clarisse Lins de Lima, Cecilia Cordeiro da Silva, et al.
Springer eBooks (2021), pp. 333-357
Closed Access | Times Cited: 1
Conformable fractional order COVID - 19 model: Discretization and stability analysis
A. R. Meshram, V. C. Borkar, R. A. Muneshwar
AIP conference proceedings (2023) Vol. 2852, pp. 110001-110001
Closed Access
Multi-chain Fudan-CCDC model for COVID-19 in Iran
Hanshuang Pan, Nian Shao, Yue Yan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access
Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts
Steven Mascaro, Yue Wu, Owen Woodberry, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Analysis and prediction of COVID-19 using growth analysis models: A case study
Kalimullah Lone, Shabir Ahmad Sofi
Research Square (Research Square) (2022)
Open Access
COVID-19 infected cases in Canada: Short-term forecasting models
Mo’tamad H. Bata, Rupp Carriveau, David S.‐K. Ting, et al.
PLoS ONE (2022) Vol. 17, Iss. 9, pp. e0270182-e0270182
Open Access
Kinetic derivation of a time-dependent SEIRD reaction-diffusion system for COVID-19
Mohamed Zagour
arXiv (Cornell University) (2021)
Closed Access
Modeling COVID-19 Transmission
Yuancheng Zhou, Jing Wu
(2021)
Closed Access
Artificial intelligence as a powerful tool in overcoming substantial health problems of the COVID-19 pandemic
Vukoman Jokanović, Marija Živković, Slavoljub Živković
Stomatoloski glasnik Srbije (2021) Vol. 68, Iss. 3, pp. 143-152
Open Access
A nonlinear cross-diffusion epidemic with time-dependent SIRD system: Multiscale derivation and computational analysis
Mohamed Zagour
arXiv (Cornell University) (2021)
Open Access
Stochastic Generalization of the Epidemiological SIR Model
Vladimir Obolonkin, Anatoly Zherelo
Nonlinear Phenomena in Complex Systems (2021) Vol. 24, Iss. 4, pp. 409-414
Open Access
Previous Page - Page 2

Scroll to top