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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:

Forecasting the cumulative number of confirmed cases of COVID-19 in Italy, UK and USA using fractional nonlinear grey Bernoulli model
Utkucan Şahin, Tezcan ŞAHİN
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109948-109948
Open Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

Modeling the impact of non-pharmaceutical interventions on the dynamics of novel coronavirus with optimal control analysis with a case study
Saif Ullah, Muhammad Altaf Khan
Chaos Solitons & Fractals (2020) Vol. 139, pp. 110075-110075
Open Access | Times Cited: 203
Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia
Ammar H. Elsheikh, Amal I. Saba, Mohamed Abd Elaziz, et al.
Process Safety and Environmental Protection (2020) Vol. 149, pp. 223-233
Open Access | Times Cited: 129
Data analysis of Covid-19 pandemic and short-term cumulative case forecasting using machine learning time series methods
Serkan Ballı
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110512-110512
Open Access | Times Cited: 112
Future of renewable energy consumption in France, Germany, Italy, Spain, Turkey and UK by 2030 using optimized fractional nonlinear grey Bernoulli model
Utkucan Şahin
Sustainable Production and Consumption (2020) Vol. 25, pp. 1-14
Open Access | Times Cited: 92
Application of a novel fractional grey prediction model with time power term to predict the electricity consumption of India and China
Chong Liu, Wen-Ze Wu, Wanli Xie, et al.
Chaos Solitons & Fractals (2020) Vol. 141, pp. 110429-110429
Closed Access | Times Cited: 80
Short-term prediction of COVID-19 spread using grey rolling model optimized by particle swarm optimization
Zeynep Ceylan
Applied Soft Computing (2021) Vol. 109, pp. 107592-107592
Open Access | Times Cited: 68
Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods
Utkucan Şahin, Serkan Ballı, Yan Chen
Applied Energy (2021) Vol. 302, pp. 117540-117540
Open Access | Times Cited: 65
A novel elastic net-based NGBMC(1,n) model with multi-objective optimization for nonlinear time series forecasting
Lang Yu, Xin Ma, Wenqing Wu, et al.
Communications in Nonlinear Science and Numerical Simulation (2021) Vol. 96, pp. 105696-105696
Closed Access | Times Cited: 58
A novel fractional time-delayed grey Bernoulli forecasting model and its application for the energy production and consumption prediction
Yong Wang, Xinbo He, Lei Zhang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 110, pp. 104683-104683
Closed Access | Times Cited: 56
Mathematical analysis of a COVID-19 model with double dose vaccination in Bangladesh
Anip Kumar Paul, Md Abdul Kuddus
Results in Physics (2022) Vol. 35, pp. 105392-105392
Open Access | Times Cited: 42
Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach
Lu‐Yu Zhou, Chun Zhao, Ning Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106157-106157
Open Access | Times Cited: 38
Analysis, predicting, and controlling the COVID-19 pandemic in Iraq through SIR model
Sanaa L. Khalaf, Hadeer S. Flayyih
Results in Control and Optimization (2023) Vol. 10, pp. 100214-100214
Open Access | Times Cited: 22
Mathematical modeling for novel coronavirus (COVID‐19) and control
M.S. Alqarni, Metib Alghamdi, Taseer Muhammad, et al.
Numerical Methods for Partial Differential Equations (2020) Vol. 38, Iss. 4, pp. 760-776
Open Access | Times Cited: 61
Forecasting manufacturing industrial natural gas consumption of China using a novel time-delayed fractional grey model with multiple fractional order
Yu Hu, Xin Ma, Wanpeng Li, et al.
Computational and Applied Mathematics (2020) Vol. 39, Iss. 4
Open Access | Times Cited: 54
Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model
Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Juan L. G. Guirao, et al.
Chaos Solitons & Fractals (2021) Vol. 152, pp. 111404-111404
Closed Access | Times Cited: 53
Predicting Chinese total retail sales of consumer goods by employing an extended discrete grey polynomial model
Chong Liu, Wanli Xie, Wen-Ze Wu, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 102, pp. 104261-104261
Closed Access | Times Cited: 46
Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview
Ammar H. Elsheikh, Amal I. Saba, Hitesh Panchal, et al.
Healthcare (2021) Vol. 9, Iss. 12, pp. 1614-1614
Open Access | Times Cited: 45
Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel fractional nonlinear grey model
Utkucan Şahin
Expert Systems with Applications (2022) Vol. 209, pp. 118429-118429
Closed Access | Times Cited: 36
Leveraging Ensemble and Hybrid Forecasting Tools to Increase Accuracy: Turkey COVID-19 Case Study
Ozan Evkaya, Fatma Sevinç Kurnaz, Ozancan Özdemir, et al.
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
A novel damping discrete grey model with time-polynomial term for forecasting monthly natural gas consumption
Ying Zhao, Tao Zhang, Jie Xu, et al.
Grey Systems Theory and Application (2025)
Closed Access
Application of a Fractional Generalized Discrete Grey Model to Forecast COVID‐19 in Japan Diamond Princess Cruises
Hang Zuo, Zuo Kai
Journal of Mathematics (2025) Vol. 2025, Iss. 1
Open Access
Creating and applying SIR modified compartmental model for calculation of COVID-19 lockdown efficiency
Konstantin S. Sharov
Chaos Solitons & Fractals (2020) Vol. 141, pp. 110295-110295
Open Access | Times Cited: 48
A novel grey model based on traditional Richards model and its application in COVID-19
Xilin Luo, Huiming Duan, Kai Xu
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110480-110480
Open Access | Times Cited: 42
Dynamics models for identifying the key transmission parameters of the COVID-19 disease
Muhammad Shahzad, Abdel-Haleem Abdel-Aty, Raghda A. M. Attia, et al.
Alexandria Engineering Journal (2020) Vol. 60, Iss. 1, pp. 757-765
Open Access | Times Cited: 39
Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review
Asif Afzal, C. Ahamed Saleel, Suvanjan Bhattacharyya, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 2, pp. 1311-1337
Open Access | Times Cited: 37
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