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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:

A Review of Data‐Driven Discovery for Dynamic Systems
Joshua S. North, Christopher K. Wikle, Erin M. Schliep
International Statistical Review (2023) Vol. 91, Iss. 3, pp. 464-492
Open Access | Times Cited: 12

Showing 12 citing articles:

Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks
Mouad Elaarabi, Domenico Borzacchiello, Philippe Le Bot, et al.
Machine Learning (2025) Vol. 114, Iss. 1
Open Access
An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers–Moyal formulas
Yang Li, Shengyuan Xu, Jinqiao Duan
Communications in Nonlinear Science and Numerical Simulation (2025), pp. 108751-108751
Closed Access
A novel data-driven modeling and efficient model predictive control framework for non-autonomous nonlinear systems based on the Invertible Koopman Network
Yuhong Jin, Lei Hou, Xiangdong Ge, et al.
Nonlinear Dynamics (2025)
Closed Access
Learning Nonlinear Dynamics Using Kalman Smoothing
Jacob Stevens-Haas, Yash Bhangale, J. Nathan Kutz, et al.
IEEE Access (2024) Vol. 12, pp. 138564-138574
Open Access | Times Cited: 2
Distilling identifiable and interpretable dynamic models from biological data
Gemma Massonis, Alejandro F. Villaverde, Julio R. Banga
PLoS Computational Biology (2023) Vol. 19, Iss. 10, pp. e1011014-e1011014
Open Access | Times Cited: 6
Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata
Nicholas Grieshop, Christopher K. Wikle
Spatial Statistics (2024) Vol. 60, pp. 100827-100827
Closed Access | Times Cited: 2
Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part I)
Donatello Materassi, Sean Warnick, Cristian Rojas, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 15, pp. 492-496
Open Access | Times Cited: 1
Data-driven recovery of PDE models and unveiling of solution interconnections
Zhuosheng Lü, Yanfang Zhang, Xiao-Feng Zheng, et al.
Nonlinear Dynamics (2024)
Closed Access | Times Cited: 1
The data-driven discovery of partial differential equations by symbolic genetic algorithm
Shifei Sun, Shifang Tian, Yuduo Wang, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 22, pp. 19871-19885
Closed Access
Numerical Differentiation by Integration (NDBI) in the Context of Ordinary Differential Equation Estimation Problems
Oliver Strebel
(2024)
Open Access
Parameter inference from a non-stationary unknown process
Kieran S. Owens, Ben Fulcher
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 10
Open Access
Automatedly Distilling Canonical Equations From Random State Data
Xiaoling Jin, Zhanchao Huang, Yong Wang, et al.
Journal of Applied Mechanics (2023) Vol. 90, Iss. 8
Closed Access
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