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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:

Predictions for COVID-19 Outbreak in India using epidemiological models
Rajesh Ranjan
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

A SIR model assumption for the spread of COVID-19 in different communities
Ian A. Cooper, Argha Mondal, Chris G. Antonopoulos
Chaos Solitons & Fractals (2020) Vol. 139, pp. 110057-110057
Open Access | Times Cited: 710
Forecasting COVID-19 epidemic in India and high incidence states using SIR and logistic growth models
B. Malavika, S. Marimuthu, Melvin Joy, et al.
Clinical Epidemiology and Global Health (2020) Vol. 9, pp. 26-33
Open Access | Times Cited: 127
Predictions, Role of Interventions and Effects of a Historic National Lockdown in India's Response to the the COVID-19 Pandemic: Data Science Call to Arms
Debashree Ray, Maxwell Salvatore, Rupam Bhattacharyya, et al.
Harvard data science review (2020)
Open Access | Times Cited: 121
Estimating the parameters of susceptible-infected-recovered model of COVID-19 cases in India during lockdown periods
Dilip Kumar Bagal, Arati Rath, Abhishek Barua, et al.
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110154-110154
Open Access | Times Cited: 93
Investigating the dynamics of COVID-19 pandemic in India under lockdown
Chintamani Pai, Ankush Bhaskar, Vaibhav Rawoot
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109988-109988
Open Access | Times Cited: 89
Characterization of the Second Wave of COVID-19 in India
Rajesh Ranjan, Aryan Sharma, Mahendra K. Verma
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 89
An epidemic model SIPHERD and its application for prediction of the spread of COVID-19 infection in India
Ashutosh Mahajan, Namitha Sivadas, Ravi Solanki
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110156-110156
Open Access | Times Cited: 77
Implementation of stacking based ARIMA model for prediction of Covid-19 cases in India
Aman Swaraj, Karan Verma, Arshpreet Kaur, et al.
Journal of Biomedical Informatics (2021) Vol. 121, pp. 103887-103887
Open Access | Times Cited: 56
Prediction of the final size for COVID-19 epidemic using machine learning: A case study of Egypt
Lamiaa A. Amar, Ashraf A. Taha, Marwa Y. Mohamed
Infectious Disease Modelling (2020) Vol. 5, pp. 622-634
Open Access | Times Cited: 69
Prediction of COVID-19 Cases Using CNN with X-rays
D. Haritha, N Swaroop, M. Mounika
2020 5th International Conference on Computing, Communication and Security (ICCCS) (2020), pp. 1-6
Closed Access | Times Cited: 58
A Predictive Model for Assessing the Impact of the COVID-19 Pandemic on the Economies of Some Eastern European Countries
Мarina V. Vasiljeva, Інна Нескородєва, Vadim V. Ponkratov, et al.
Journal of Open Innovation Technology Market and Complexity (2020) Vol. 6, Iss. 3, pp. 92-92
Open Access | Times Cited: 54
BIFM: Big-Data Driven Intelligent Forecasting Model for COVID-19
S. Dash, Chinmay Chakraborty, Sourav Kumar Giri, et al.
IEEE Access (2021) Vol. 9, pp. 97505-97517
Open Access | Times Cited: 54
Characterization of the Second Wave of COVID-19 in India
Rajesh Ranjan, Aryan Sharma, Mahendra K. Verma
Current Science (2021) Vol. 121, Iss. 1, pp. 85-85
Open Access | Times Cited: 53
Predictive models of COVID-19 in India: A rapid review
Atul Kotwal, Arun Kumar Yadav, Jyoti Yadav, et al.
Medical Journal Armed Forces India (2020) Vol. 76, Iss. 4, pp. 377-386
Open Access | Times Cited: 52
Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model
Gregory L. Watson, Di Xiong, Lu Zhang, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 3, pp. e1008837-e1008837
Open Access | Times Cited: 52
COVID-19 prediction using LSTM algorithm: GCC case study
Kareem Kamal A. Ghany, Hossam M. Zawbaa, Heba M. Sabri
Informatics in Medicine Unlocked (2021) Vol. 23, pp. 100566-100566
Open Access | Times Cited: 43
Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model
Mohd Saqib
Applied Intelligence (2020) Vol. 51, Iss. 5, pp. 2703-2713
Open Access | Times Cited: 49
Predicting the COVID-19 epidemic in Algeria using the SIR model
Mohamed Samir Boudrioua, Abderrahmane Boudrioua
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 42
Short-term forecasts of the COVID-19 pandemic: a study case of Cameroon
Cedric Hameni Nkwayep, Samuel Bowong, Jean Jules Tewa, et al.
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110106-110106
Open Access | Times Cited: 40
What the reproductive number R0 can and cannot tell us about COVID-19 dynamics
Clara L. Shaw, David Kennedy
Theoretical Population Biology (2021) Vol. 137, pp. 2-9
Open Access | Times Cited: 36
A novel hybrid fuzzy time series model for prediction of COVID-19 infected cases and deaths in India
Niteesh Kumar, Harendra Kumar
ISA Transactions (2021) Vol. 124, pp. 69-81
Open Access | Times Cited: 36
Lessons from SARS-CoV-2 in India: A data-driven framework for pandemic resilience
Maxwell Salvatore, Soumik Purkayastha, Lakshmi Ganapathi, et al.
Science Advances (2022) Vol. 8, Iss. 24
Open Access | Times Cited: 23
Analysis of COVID-19 Coughs: From the Mildest to the Most Severe Form, a Realistic Classification Using Deep Learning
Fabien Mouomene Moffo, Auguste Vigny Noumsi Woguia, Joseph Mvogo Ngono, et al.
Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées (2025) Vol. Volume 42 - Special issue CRI...
Open Access
A Predictive Model for the Evolution of COVID-19
Rajneesh Bhardwaj
Transactions of Indian National Academy of Engineering (2020) Vol. 5, Iss. 2, pp. 133-140
Open Access | Times Cited: 34
CoVID-19 prediction for India from the existing data and SIR(D) model study
Aditya Rajesh, H. Pai, Victor Roy, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 30
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