13 citations as recorded by crossref.

1. Robust prediction of chaotic systems with random errors using dynamical system deep learning Z. Wu et al. https://doi.org/10.1088/2632-2153/adc873
2. An Approach to Generating Mutually Independent Initial Perturbations for Ensemble Forecasts: Orthogonal Conditional Nonlinear Optimal Perturbations W. Duan & Z. Huo https://doi.org/10.1175/JAS-D-15-0138.1
3. Travelling waves and their bifurcations in the Lorenz-96 model D. van Kekem & A. Sterk https://doi.org/10.1016/j.physd.2017.11.008
4. Detecting time-irreversibility in multiscale systems: Correlation and response functions in the Lorenz96 model N. Cocciaglia & D. Lucente https://doi.org/10.1063/5.0248658
5. Wave propagation in the Lorenz-96 model D. van Kekem & A. Sterk https://doi.org/10.5194/npg-25-301-2018
6. Finite Cascades of Pitchfork Bifurcations and Multistability in Generalized Lorenz-96 Models A. Pelzer & A. Sterk https://doi.org/10.3390/mca25040078
7. The Relationship between Deterministic and Ensemble Mean Forecast Errors Revealed by Global and Local Attractor Radii J. Feng et al. https://doi.org/10.1007/s00376-018-8123-5
8. The application of the orthogonal conditional nonlinear optimal perturbations method to typhoon track ensemble forecasts Z. Huo & W. Duan https://doi.org/10.1007/s11430-018-9248-9
9. A New Method to Calculate Nonlinear Optimal Perturbations for Ensemble Forecasting J. Ma et al. https://doi.org/10.1007/s00376-024-4069-y
10. When chaos meets hyperchaos: 4D Rössler model R. Barrio et al. https://doi.org/10.1016/j.physleta.2015.07.035
11. Empirical correction techniques: analysis and applications to chaotically driven low-order atmospheric models I. Trpevski et al. https://doi.org/10.5194/npg-20-199-2013
12. Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks P. Vlachas et al. https://doi.org/10.1098/rspa.2017.0844
13. Coexistence and Dynamical Connections between Hyperchaos and Chaos in the 4D Rössler System: A Computer-Assisted Proof D. Wilczak et al. https://doi.org/10.1137/15M1039201