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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.

Requested Article:

Data-Driven Deep-Learning Algorithm for Asymptomatic COVID-19 Model with Varying Mitigation Measures and Transmission Rate
Kayode D. Olumoyin, A.Q.M. Khaliq, Khaled M. Furati
Epidemiologia (2021) Vol. 2, Iss. 4, pp. 471-489
Open Access | Times Cited: 21

Showing 21 citing articles:

Mathematical modeling of interactions between colon cancer and immune system with a deep learning algorithm
Elham Raeisi, Mehmet Yavuz, Mohammadreza Khosravifarsani, et al.
The European Physical Journal Plus (2024) Vol. 139, Iss. 4
Open Access | Times Cited: 9
Data-Driven Mathematical Modeling Approaches for COVID-19: a survey
Jacques Demongeot, Pierre Magal
Physics of Life Reviews (2024) Vol. 50, pp. 166-208
Open Access | Times Cited: 5
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Yang Ye, Abhishek Pandey, Carolyn E. Bawden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts
Giovanni Ziarelli, Stefano Pagani, Nicola Parolini, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117796-117796
Open Access
A Multi-Age Multi-Group Epidemiological Model and Its Validation on the COVID-19 Epidemic in Italy: SEIHRDV
Luca Dede’, Nicola Parolini, Alfio Quarteroni, et al.
Mathematics (2025) Vol. 13, Iss. 5, pp. 788-788
Open Access
A physics-informed neural network to model COVID-19 infection and hospitalization scenarios
Sarah Berkhahn, Matthias Ehrhardt
Advances in Continuous and Discrete Models (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 25
PINN training using biobjective optimization: The trade-off between data loss and residual loss
Fabian Heldmann, Sarah Berkhahn, Matthias Ehrhardt, et al.
Journal of Computational Physics (2023) Vol. 488, pp. 112211-112211
Open Access | Times Cited: 15
A Physics-Informed Neural Network approach for compartmental epidemiological models
Caterina Millevoi, Damiano Pasetto, Massimiliano Ferronato
PLoS Computational Biology (2024) Vol. 20, Iss. 9, pp. e1012387-e1012387
Open Access | Times Cited: 3
Anticipating the transmissibility of the 2022 mpox outbreak
Tuoyu Liu, Shan Yang, Boyu Luo, et al.
Journal of Medical Virology (2023) Vol. 95, Iss. 3
Open Access | Times Cited: 9
Data driven time-varying SEIR-LSTM/GRU algorithms to track the spread of COVID-19
Lin Feng, Ziren Chen, Harold A. Lay, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 9, pp. 8935-8962
Open Access | Times Cited: 11
Stability and Bifurcation Analysis of the Caputo Fractional-Order Asymptomatic COVID-19 Model with Multiple Time-Delays
Fathalla A. Rihan, K. Udhayakumar, Nicola Sottocornola, et al.
International Journal of Bifurcation and Chaos (2023) Vol. 33, Iss. 02
Closed Access | Times Cited: 6
Data-Driven Deep Learning Neural Networks for Predicting the Number of Individuals Infected by COVID-19 Omicron Variant
Ebenezer O. Oluwasakin, A.Q.M. Khaliq
Epidemiologia (2023) Vol. 4, Iss. 4, pp. 420-453
Open Access | Times Cited: 6
Modeling the dynamics of Covid-19 in Japan: employing data-driven deep learning approach
Sean Nelson, R. Raja, P. Eswaran, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1
SEINN: A deep learning algorithm for the stochastic epidemic model
Thomas Torku, A.Q.M. Khaliq, Fathalla A. Rihan
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 9, pp. 16330-16361
Open Access | Times Cited: 3
Optimizing Physics-Informed Neural Network in Dynamic System Simulation and Learning of Parameters
Ebenezer O. Oluwasakin, A.Q.M. Khaliq
Algorithms (2023) Vol. 16, Iss. 12, pp. 547-547
Open Access | Times Cited: 2
From Policy to Prediction: Assessing Forecasting Accuracy in an Integrated Framework with Machine Learning and Disease Models
Amit K. Chakraborty, Hao Wang, Pouria Ramazi
Journal of Computational Biology (2024) Vol. 31, Iss. 11, pp. 1104-1117
Closed Access
Parameter estimation in the stochastic SIR model via scaled geometric Brownian motion
J. A. Sánchez-Monroy, Javier Riascos-Ochoa, Abel Bustos
Chaos Solitons & Fractals (2024) Vol. 189, pp. 115626-115626
Closed Access
A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters
Brandon Robinson, Philippe Bisaillon, Jodi D. Edwards, et al.
Infectious Disease Modelling (2024) Vol. 9, Iss. 4, pp. 1224-1249
Open Access
LSTM-based Estimation of Time-Varying Parameters in a Spatiotemporal PDE Model for Prediction of Epidemic Spread
David Drury, Logan Street, Subramanian Ramakrishnan, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 28, pp. 468-473
Open Access
A Trendline and Predictive Analysis of the First-Wave COVID-19 Infections in Malta
Mitchell G. Borg, Michael Borg
Epidemiologia (2023) Vol. 4, Iss. 1, pp. 33-50
Open Access
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