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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:

Practical identifiability of parametrised models: A review of benefits and limitations of various approaches
N. Lam, Paul D. Docherty, Rua Murray
Mathematics and Computers in Simulation (2022) Vol. 199, pp. 202-216
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Geometric analysis enables biological insight from complex non-identifiable models using simple surrogates
Alexander P. Browning, Matthew J. Simpson
PLoS Computational Biology (2023) Vol. 19, Iss. 1, pp. e1010844-e1010844
Open Access | Times Cited: 15
Efficiently Establishing Practical Identifiability Via Active Learning
Xiaolu Liu, Linda Wanika, Michael J. Chappell, et al.
(2025)
Closed Access
Employing Observability Rank Conditions for Taking into Account Experimental Information a priori
Alejandro F. Villaverde
Bulletin of Mathematical Biology (2025) Vol. 87, Iss. 3
Open Access
Structural identifiability of parameters of Anand material model
Jaroslav Rojíček, Jakub Cienciala, Martin Fusek
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Study of optimal vaccination strategies for early COVID-19 pandemic using an age-structured mathematical model: A case study of the USA
Giulia Luebben, Gilberto González‐Parra, Bishop Cervantes
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 10828-10865
Open Access | Times Cited: 12
Identifiability methods for biological systems: Determining subsets of parameters through sensitivity analysis, penalty-based optimisation, profile likelihood and LASSO model reduction
Michael Binns, Alessandro Usai, Constantinos Theodoropoulos
Computers & Chemical Engineering (2024) Vol. 186, pp. 108683-108683
Open Access | Times Cited: 4
Assessing input parameter hyperspace and parameter identifiability in a cardiovascular system model via sensitivity analysis
Harry Saxton, Xu Xu, Torsten Schenkel, et al.
Journal of Computational Science (2024) Vol. 79, pp. 102287-102287
Open Access | Times Cited: 4
CONVERGENCE, SAMPLING AND TOTAL ORDER ESTIMATOR EFFECTS ON PARAMETER ORTHOGONALITY IN GLOBAL SENSITIVITY ANALYSIS
Harry Saxton, Xu Xu, Torsten Schenkel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Structural and practical identifiability analysis in bioengineering: a beginner’s guide
Linda Wanika, Joseph R. Egan, Nivedhitha Swaminathan, et al.
Journal of Biological Engineering (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 3
ASAS-NANP symposium: Mathematical Modeling in Animal Nutrition: The power of identifiability analysis for dynamic modeling in animal science:a practitioner approach
Rafael Muñoz‐Tamayo, L. O. Tedeschi
Journal of Animal Science (2023) Vol. 101
Open Access | Times Cited: 4
A network-based model to assess vaccination strategies for the COVID-19 pandemic by using Bayesian optimization
Gilberto González‐Parra, Javier Villanueva-Oller, F.J. Navarro-González, et al.
Chaos Solitons & Fractals (2024) Vol. 181, pp. 114695-114695
Closed Access | Times Cited: 1
Mathematical modeling of transdermal delivery of topical drug formulations in a dynamic microfluidic diffusion chamber in health and disease
Gábor Szederkényi, Dorottya Kocsis, Mihály A. Vághy, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0299501-e0299501
Open Access | Times Cited: 1
Accurately summarizing an outbreak using epidemiological models takes time
Brendan Case, Jean-Gabriel Young, Laurent Hébert‐Dufresne
Royal Society Open Science (2023) Vol. 10, Iss. 9
Open Access | Times Cited: 3
Minimally and vaguely informative priors to combat practical parameter non-identifiability of hidden Markov models exemplified by ion channel data
Jan L. Münch, Ralf Schmauder, Fabian Paul, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Evolving Improved Sampling Protocols for Dose–Response Modelling Using Genetic Algorithms with a Profile-Likelihood Metric
N. Lam, Rua Murray, Paul D. Docherty
Bulletin of Mathematical Biology (2024) Vol. 86, Iss. 6
Open Access
Robust parameter estimation and identifiability analysis with Hybrid Neural Ordinary Differential Equations in Computational Biology
Stefano Giampiccolo, Federico Reali, Anna Fochesato, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Joint estimation of the effective reproduction number and daily incidence in the presence of aggregated and missing data
Eamon Conway, Ivo Müeller
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Convergence, sampling and total order estimator effects on parameter orthogonality in global sensitivity analysis
Harry Saxton, Xu Xu, Torsten Schenkel, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 7, pp. e1011946-e1011946
Open Access
A mathematical model for the role of vaccination and treatment in measles transmission in Turkey
Osman Raşit Işık, Necibe Tuncer, Maia Martcheva
Journal of Computational and Applied Mathematics (2024) Vol. 457, pp. 116308-116308
Closed Access
Moving Horizon Parameter Estimation for an Enzyme‐Catalyzed Transamination Reaction with Integrated Product Removal
Jessica Behrens, Sven Tiedemann, Tom Kunde, et al.
Chemie Ingenieur Technik (2024) Vol. 96, Iss. 12, pp. 1751-1766
Open Access
Robust parameter estimation and identifiability analysis with hybrid neural ordinary differential equations in computational biology
Stefano Giampiccolo, Federico Reali, Anna Fochesato, et al.
npj Systems Biology and Applications (2024) Vol. 10, Iss. 1
Open Access
Computational aspects of likelihood-based inference for the univariate generalized hyperbolic distribution
A. Van Wyk, Adelchi Azzalini, Andriëtte Bekker
Communications in Statistics - Simulation and Computation (2024), pp. 1-21
Open Access
Estimating global identifiability using conditional mutual information in a Bayesian framework
Sahil Bhola, Karthik Duraisamy
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices
Jean Velluet, Antonin Della Noce, Véronique Letort
Plant Phenomics (2023) Vol. 6
Open Access | Times Cited: 1
Minimizing Foaming and Bulking in Activated Sludge with Bacteriophage Treatment: A Review of Mathematical Modeling
Alejandra Vesga-Baron, Rolando Chamy, Alain Vande Wouwer
Processes (2022) Vol. 10, Iss. 8, pp. 1600-1600
Open Access | Times Cited: 2
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