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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:

Considering discrepancy when calibrating a mechanistic electrophysiology model
Chon Lok Lei, Sanmitra Ghosh, David J. Whittaker, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2020) Vol. 378, Iss. 2173, pp. 20190349-20190349
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Evaluating the predictive accuracy of ion-channel models using data from multiple experimental designs
Joseph G. Shuttleworth, Chon Lok Lei, Monique J. Windley, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2025) Vol. 383, Iss. 2292
Open Access | Times Cited: 2
Calibration of ionic and cellular cardiac electrophysiology models
David J. Whittaker, Michael Clerx, Chon Lok Lei, et al.
WIREs Systems Biology and Medicine (2020) Vol. 12, Iss. 4
Open Access | Times Cited: 93
Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis and prediction in the life sciences
Ryan J. Murphy, Oliver J. Maclaren, Matthew J. Simpson
Journal of The Royal Society Interface (2024) Vol. 21, Iss. 210
Open Access | Times Cited: 12
Deep learning-based reduced order models in cardiac electrophysiology
Stefania Fresca, Andrea Manzoni, Luca Dede’, et al.
PLoS ONE (2020) Vol. 15, Iss. 10, pp. e0239416-e0239416
Open Access | Times Cited: 62
Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments
Chon Lok Lei, Michael Clerx, David J. Whittaker, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2020) Vol. 378, Iss. 2173, pp. 20190348-20190348
Open Access | Times Cited: 58
Shut and re-open: the role of schools in the spread of COVID-19 in Europe
Helena B. Stage, Joseph Shingleton, Sanmitra Ghosh, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2021) Vol. 376, Iss. 1829
Open Access | Times Cited: 51
Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium
Li Cai, Lei Ren, Yongheng Wang, et al.
Royal Society Open Science (2021) Vol. 8, Iss. 1, pp. 201121-201121
Open Access | Times Cited: 50
Characterisation of Omicron Variant during COVID-19 Pandemic and the Impact of Vaccination, Transmission Rate, Mortality, and Reinfection in South Africa, Germany, and Brazil
Carolina Ribeiro Xavier, Rafael Sachetto Oliveira, Vinícius da Fonseca Vieira, et al.
BioTech (2022) Vol. 11, Iss. 2, pp. 12-12
Open Access | Times Cited: 35
A Quantitative Systems Pharmacology Perspective on the Importance of Parameter Identifiability
Anna Sher, Steven Niederer, Gary R. Mirams, et al.
Bulletin of Mathematical Biology (2022) Vol. 84, Iss. 3
Open Access | Times Cited: 30
Empirical Quantification of Predictive Uncertainty Due to Model Discrepancy by Training with an Ensemble of Experimental Designs: An Application to Ion Channel Kinetics
Joseph G. Shuttleworth, Chon Lok Lei, David J. Whittaker, et al.
Bulletin of Mathematical Biology (2023) Vol. 86, Iss. 1
Open Access | Times Cited: 16
An audit of uncertainty in multi-scale cardiac electrophysiology models
Richard H. Clayton, Yasser Aboelkassem, Chris D. Cantwell, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2020) Vol. 378, Iss. 2173, pp. 20190335-20190335
Open Access | Times Cited: 42
Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation
L. Mihaela Păun, Mitchel J. Colebank, Mette S. Olufsen, et al.
Journal of The Royal Society Interface (2020) Vol. 17, Iss. 173, pp. 20200886-20200886
Open Access | Times Cited: 32
Physics-Informed Machine Learning for Structural Health Monitoring
Elizabeth J. Cross, Samuel J. Gibson, Matthew R. Jones, et al.
Structural integrity (2021), pp. 347-367
Open Access | Times Cited: 31
Timing the race of vaccination, new variants, and relaxing restrictions during COVID-19 pandemic
Carolina Ribeiro Xavier, Rafael Sachetto Oliveira, Vinícius da Fonseca Vieira, et al.
Journal of Computational Science (2022) Vol. 61, pp. 101660-101660
Open Access | Times Cited: 17
Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics
Alan Lazarus, David R. Dalton, Dirk Husmeier, et al.
Biomechanics and Modeling in Mechanobiology (2022) Vol. 21, Iss. 3, pp. 953-982
Open Access | Times Cited: 16
The fickle heart: uncertainty quantification in cardiac and cardiovascular modelling and simulation
Gary R. Mirams, Steven Niederer, Richard H. Clayton
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2020) Vol. 378, Iss. 2173, pp. 20200119-20200119
Open Access | Times Cited: 24
Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning
Stefano Pagani, Andrea Manzoni
International Journal for Numerical Methods in Biomedical Engineering (2021) Vol. 37, Iss. 6
Open Access | Times Cited: 22
Data-Driven Uncertainty Quantification for Cardiac Electrophysiological Models: Impact of Physiological Variability on Action Potential and Spiral Wave Dynamics
Pras Pathmanathan, Suran K. Galappaththige, Jonathan M. Cordeiro, et al.
Frontiers in Physiology (2020) Vol. 11
Open Access | Times Cited: 22
Guidelines for mechanistic modeling and analysis in cardiovascular research
Mitchel J. Colebank, Pim J. A. Oomen, Colleen M. Witzenburg, et al.
AJP Heart and Circulatory Physiology (2024) Vol. 327, Iss. 2, pp. H473-H503
Closed Access | Times Cited: 2
A range of voltage-clamp protocol designs for rapid capture of hERG kinetics
Chon Lok Lei, David J. Whittaker, Monique J. Windley, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Uncertainty Quantification of Regional Cardiac Tissue Properties in Arrhythmogenic Cardiomyopathy Using Adaptive Multiple Importance Sampling
Nick van Osta, Feddo P. Kirkels, Tim van Loon, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 14
Neural Network Differential Equations For Ion Channel Modelling
Chon Lok Lei, Gary R. Mirams
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 12
Computational modeling approaches to cAMP/PKA signaling in cardiomyocytes
Kimberly J. McCabe, Padmini Rangamani
Journal of Molecular and Cellular Cardiology (2021) Vol. 154, pp. 32-40
Closed Access | Times Cited: 11
Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment
Hui Jia Farm, Michael Clerx, Fergus Cooper, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 4
Biventricular Interaction During Acute Left Ventricular Ischemia in Mice: A Combined In-Vivo and In-Silico Approach
Mitchel J. Colebank, Rachel M. Taylor, Timothy A. Hacker, et al.
Annals of Biomedical Engineering (2023) Vol. 51, Iss. 11, pp. 2528-2543
Open Access | Times Cited: 4
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