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:

Impact of control strategies on COVID-19 pandemic and the SIR model based forecasting in Bangladesh
Mahmudur Rahman, Asif Ahmed, Khondoker Moazzem Hossain, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 16

Showing 16 citing articles:

Impact of a New SARS-CoV-2 Variant on the Population: A Mathematical Modeling Approach
Gilberto González‐Parra, David Martínez‐Rodríguez, R.-J. Villanueva
Mathematical and Computational Applications (2021) Vol. 26, Iss. 2, pp. 25-25
Open Access | Times Cited: 36

Building a sensible SIR estimation model for COVID-19 outspread in Kuwait
Mohammed N. Alenezi, Fawaz S. Al-Anzi, Haneen Alabdulrazzaq
Alexandria Engineering Journal (2021) Vol. 60, Iss. 3, pp. 3161-3175
Open Access | Times Cited: 29

Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach
David Martínez‐Rodríguez, Gilberto González‐Parra, R.-J. Villanueva
Epidemiologia (2021) Vol. 2, Iss. 2, pp. 140-161
Open Access | Times Cited: 27

A study on the efficiency of the estimation models of COVID-19
Mohammed N. Alenezi, Fawaz S. Al-Anzi, Haneen Alabdulrazzaq, et al.
Results in Physics (2021) Vol. 26, pp. 104370-104370
Open Access | Times Cited: 20

Impact of a new SARS-CoV-2 variant on the population: A mathematical modeling approach
Gilberto González‐Parra, David Martínez‐Rodríguez, R.-J. Villanueva
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 19

Forecasting COVID-19 Dynamics and Endpoint in Bangladesh: A Data-driven Approach
Al-Ekram Elahee Hridoy, Mohammad Naim, Nazim Uddin Emon, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 15

COVID-19 Pandemic: A Comparative Prediction Using Machine Learning
Rifat Sadik, Md Latifur Reza, Abdullah Al Noman, et al.
International Journal of Automation Artificial Intelligence and Machine Learning (2020), pp. 01-19
Open Access | Times Cited: 15

The prediction of coronavirus disease 2019 outbreak on Bangladesh perspective using machine learning: a comparative study
Maqsudur Rahman, Md. Tofael Ahmed, Shafayet Nur, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 12, Iss. 4, pp. 4276-4276
Open Access | Times Cited: 9

COVID-19 trend in Bangladesh: deviation from epidemiological model and critical analysis of the possible factors
Asif Ahmed, Mahmudur Rahman
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 14

Analysis of key factors of a SARS-CoV-2 vaccination program: A mathematical modeling approach
David Martínez‐Rodríguez, Gilberto González‐Parra, R.-J. Villanueva
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 6

The importance of saturating density dependence for predicting SARS-CoV-2 resurgence
Emily Nightingale, Oliver J. Brady, Laith Yakob
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5

Adjusted Dynamics of COVID-19 Pandemic due to Herd Immunity in Bangladesh
Md. Enamul Hoque, Md. Shariful Islam, Mohammad Ruhul Amin, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5

Data Forecasting and Comparative Analysis Using SIR Model for COVID-19 Outbreak in Bangladesh and India
Md. Imran Zahid, Abdullah Ahmed Foisal, Md. Mahbub Alam
Scholars Journal of Physics Mathematics and Statistics (2023) Vol. 10, Iss. 05, pp. 113-122
Open Access | Times Cited: 1

Impact of Temperature to Predict Covid-19 Transmission in Bangladesh: A Comparative Study by Using Deep Learning
Md. Mijanur Rahman, Md. Rakibul Hassan Rony, Bishajit Chakraborty, et al.
2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) (2021), pp. 1-4
Closed Access

Page 1

Scroll to top