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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 prediction in dynamical systems: recent developments
Amin Ghadami, Bogdan I. Epureanu
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 380, Iss. 2229
Open Access | Times Cited: 64

Showing 26-50 of 64 citing articles:

Structure-Preserving Recurrent Neural Networks for a Class of Birkhoffian Systems
Shanshan Xiao, Mengyi Chen, Ruili Zhang, et al.
Journal of Systems Science and Complexity (2024) Vol. 37, Iss. 2, pp. 441-462
Closed Access | Times Cited: 2
Short Review on Machine Learning-Based Multi-Scale Simulation in Rheology
Souta Miyamoto
Nihon Reoroji Gakkaishi (2024) Vol. 52, Iss. 1, pp. 15-19
Open Access | Times Cited: 2
TendrilBot: Modular Soft Robot with Versatile Radial Grasping and Locomotion Capabilities
Joshua Knospler, Nicholas Pagliocca, Wei Xue, et al.
Sensors and Actuators A Physical (2024) Vol. 378, pp. 115835-115835
Open Access | Times Cited: 2
A physics-informed data-driven approach for forecasting bifurcations in dynamical systems
Jesús García Pérez, Leonardo Sanches, Amin Ghadami, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 13, pp. 11773-11789
Closed Access | Times Cited: 6
A methodology for parameter estimation in system dynamics models using artificial intelligence
Jyotirmay Gadewadikar, Jeremy L. Marshall
Systems Engineering (2023) Vol. 27, Iss. 2, pp. 253-266
Closed Access | Times Cited: 6
Multiple-Input-Single-Output prediction models of crowd dynamics for Model Predictive Control (MPC) of crowd evacuations
Miguel A. Lopez‐Carmona, Alvaro Paricio‐Garcia
Transportation Research Part C Emerging Technologies (2023) Vol. 154, pp. 104268-104268
Open Access | Times Cited: 4
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: 4
A mathematical framework for evo-devo dynamics
Mauricio González-Forero
Theoretical Population Biology (2023) Vol. 155, pp. 24-50
Open Access | Times Cited: 4
Tool‐tip vibration prediction based on a novel convolutional enhanced transformer
Adeel Shehzad, Xiaoting Rui, Yuanyuan Ding, et al.
International journal of mechanical system dynamics (2024) Vol. 4, Iss. 1, pp. 34-47
Open Access | Times Cited: 1
A novel approach for dimensionality reduction of high-dimensional stochastic dynamical systems using symbolic regression
Xiyuan Chen, Qiubao Wang, Zhong Liu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 214, pp. 111373-111373
Closed Access | Times Cited: 1
Cluster-based Bayesian approach for noisy and sparse data: application to flow-state estimation
Frieder Kaiser, Giovanni Iacobello, David E. Rival
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2024) Vol. 480, Iss. 2292
Open Access | Times Cited: 1
Large sampling intervals for learning and predicting chaotic systems with reservoir computing
Qingyan Xie, Zixiang Yan, Hui Zhao, et al.
Journal of Physics A Mathematical and Theoretical (2024) Vol. 57, Iss. 29, pp. 295702-295702
Closed Access | Times Cited: 1
SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics
Panos Stinis, Constantinos Daskalakis, Paul J. Atzberger
Journal of Computational Physics (2024), pp. 113442-113442
Open Access | Times Cited: 1
Physics-informed dynamic mode decomposition for reconstruction and prediction of dense particulate pipe flows
Zhen Zhang, H. R. Qi, Jing Huo, et al.
Physics of Fluids (2024) Vol. 36, Iss. 11
Closed Access | Times Cited: 1
Machine learning assisted multifrequency AFM: Force model prediction
Lamiaa Sami Elsherbiny, Sérgio Santos, Karim Gadelrab, et al.
Applied Physics Letters (2023) Vol. 123, Iss. 23
Open Access | Times Cited: 2
A mathematical framework for evo-devo dynamics
Mauricio González-Forero
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5
Hierarchical Shrinkage Gaussian Processes: Applications to Computer Code Emulation and Dynamical System Recovery
Tao Tang, Simon Mak, David B. Dunson
SIAM/ASA Journal on Uncertainty Quantification (2024) Vol. 12, Iss. 4, pp. 1085-1112
Closed Access
Enhancing strategic decision-making in differential games through bifurcation prediction
Jesús García Pérez, Bogdan I. Epureanu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Navigating the global stock market: correlation, prediction, and the influence of external factors
Mohammad Shariful Islam, Mohammad Abu Tareq Rony
Iran Journal of Computer Science (2024) Vol. 7, Iss. 3, pp. 397-422
Closed Access
Sparse Estimation for Hamiltonian Mechanics
Yuya Note, Masahito Watanabe, Hiroaki Yoshimura, et al.
Mathematics (2024) Vol. 12, Iss. 7, pp. 974-974
Open Access
Artificial Intelligence in Mathematical Modeling of Complex Systems
Ting Zhao
ICST Transactions on e-Education and e-Learning (2024) Vol. 10
Open Access
Fairness optimisation with multi-objective swarms for explainable classifiers on data streams
Diem Pham, Binh Tran, Su Nguyen, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 4741-4754
Closed Access
A Derivative-Based Dmdc Method for Modelling Multiple-Input Multiple-Output Mechanical Systems
Qinshan Ouyang, Longlei Dong, Jian Liu, et al.
(2024)
Closed Access
Statistically Data-Driven Operational Transfer Path Analysis
Chao Song, Wei Cheng, Mingsui Yang, et al.
(2024)
Closed Access
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 258-266
Open Access

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