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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.

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Showing 17 citing articles:

A New Incommensurate Fractional-Order Discrete COVID-19 Model with Vaccinated Individuals Compartment
Amer Dababneh, Noureddine Djenina, Adel Ouannas, et al.
Fractal and Fractional (2022) Vol. 6, Iss. 8, pp. 456-456
Open Access | Times Cited: 27
A cooperative ensemble method for multistep wind speed probabilistic forecasting
Yaoyao He, Yun Wang, Shuo Wang, et al.
Chaos Solitons & Fractals (2022) Vol. 162, pp. 112416-112416
Closed Access | Times Cited: 24
SubEpiPredict: A tutorial-based primer and toolbox for fitting and forecasting growth trajectories using the ensemble n-sub-epidemic modeling framework
Gerardo Chowell, Sushma Dahal, Amanda Bleichrodt, et al.
Infectious Disease Modelling (2024) Vol. 9, Iss. 2, pp. 411-436
Open Access | Times Cited: 3
An ensemble n-sub-epidemic modeling framework for short-term forecasting epidemic trajectories: Application to the COVID-19 pandemic in the USA
Gerardo Chowell, Sushma Dahal, Amna Tariq, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 10, pp. e1010602-e1010602
Open Access | Times Cited: 18
GrowthPredict: A toolbox and tutorial-based primer for fitting and forecasting growth trajectories using phenomenological growth models
Gerardo Chowell, Amanda Bleichrodt, Sushma Dahal, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
SpatialWavePredict: a tutorial-based primer and toolbox for forecasting growth trajectories using the ensemble spatial wave sub-epidemic modeling framework
Gerardo Chowell, Amna Tariq, Sushma Dahal, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts
Sujan Ghimire, Mohanad S. AL‐Musaylh, Thong Nguyen‐Huy, et al.
Applied Energy (2024) Vol. 378, pp. 124763-124763
Open Access | Times Cited: 2
A MATLAB toolbox to fit and forecast growth trajectories using phenomenological growth models: Application to epidemic outbreaks
Gerardo Chowell, Amanda Bleichrodt, Sushma Dahal, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 6
A novel discrete-time COVID-19 epidemic model including the compartment of vaccinated individuals
A Othman Almatroud, Noureddine Djenina, Adel Ouannas, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 12, pp. 12387-12404
Open Access | Times Cited: 7
An Adaptive Photovoltaic Power Interval Prediction Based on Multi-Objective Optimization
Yunxiao Jiang, Xinyan Wang, Di Yang, et al.
(2024)
Closed Access
An adaptive photovoltaic power interval prediction based on multi-objective optimization
Yunxiao Jiang, Xinyan Wang, Di Yang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109717-109717
Closed Access
Mathematical Modeling to Predict COVID-19 Infection and Vaccination Trends
Bogdan Doroftei, Ovidiu-Dumitru Ilie, Nicoleta Anton, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 6, pp. 1737-1737
Open Access | Times Cited: 3
An ensemble n-sub-epidemic modeling framework for short-term forecasting epidemic trajectories: Application to the COVID-19 pandemic in the USA
Gerardo Chowell, Sushma Dahal, Amna Tariq, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
A MATLAB toolbox to fit and forecast growth trajectories using phenomenological growth models: Application to epidemic outbreaks
Gerardo Chowell, Amanda Bleichrodt, Sushma Dahal, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Particle Swarm Training of a Neural Network for the Lower Upper Bound Estimation of the Prediction Intervals of Time Series
Alexander Gusev, Alexander Chervyakov, Anna Alexeenko, et al.
Mathematics (2023) Vol. 11, Iss. 20, pp. 4342-4342
Open Access | Times Cited: 1
Improvement on Forecasting of Propagation of the COVID-19 Pandemic through Combining Oscillations in ARIMA Models
Eunju Hwang
Forecasting (2023) Vol. 6, Iss. 1, pp. 18-35
Open Access | Times Cited: 1
A partially periodic oscillation model combined with heterogeneous autoregression and its application to COVID-19
Eunju Hwang
Applied Mathematical Modelling (2023) Vol. 125, pp. 509-528
Closed Access
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