24 citations as recorded by crossref.

1. The Research on the Lake Eutrophication with CNOP Method B. Wang et al. 10.4028/www.scientific.net/AMR.599.705
2. Response of a grassland ecosystem to climate change in a theoretical model G. Sun & M. Mu 10.1007/s00376-011-0169-6
3. The Sensitivity Analysis of a Lake Ecosystem with the Conditional Nonlinear Optimal Perturbation Method B. Wang et al. 10.1155/2012/562081
4. Uncertainty assessment and sensitivity analysis of soil moisture based on model parameter errors – Results from four regions in China G. Sun et al. 10.1016/j.jhydrol.2017.09.059
5. Application of the CNOP Method in the Shallow Lake Ecosystem Q. Qi & B. Wang 10.4028/www.scientific.net/AMR.1010-1012.658
6. A study of parameter uncertainties causing uncertainties in modeling a grassland ecosystem using the conditional nonlinear optimal perturbation method G. Sun & D. Xie 10.1007/s11430-016-9065-9
7. Progress in the study of nonlinear atmospheric dynamics and predictability of weather and climate in China (2007–2011) F. Zhou et al. 10.1007/s00376-012-1204-y
8. Application of the restrained optimal perturbation method to study the backward heat conduction problem B. Wang et al. 10.1016/j.amc.2013.06.083
9. The Application of CNOP in the Management of the Desert Ecosystem B. Wang et al. 10.4028/www.scientific.net/AMR.599.851
10. Conditional nonlinear optimal perturbation: Applications to stability, sensitivity, and predictability W. Duan & M. Mu 10.1007/s11430-009-0090-3
11. Algorithm studies on how to obtain a conditional nonlinear optimal perturbation (CNOP) G. Sun et al. 10.1007/s00376-010-9088-1
12. Understanding variations and seasonal characteristics of net primary production under two types of climate change scenarios in China using the LPJ model G. Sun & M. Mu 10.1007/s10584-013-0833-1
13. Extended application of the conditional nonlinear optimal parameter perturbation method in the common land model B. Wang & Z. Huo 10.1007/s00376-012-2025-8
14. Collective behaviour of climate indices in the North Pacific air—sea system and its potential relationships with decadal climate changes X. Wang et al. 10.1088/1674-1056/21/2/029201
15. Responses of soil carbon variation to climate variability in China using the LPJ model G. Sun & M. Mu 10.1007/s00704-012-0619-9
16. Nonlinearly combined impacts of initial perturbation from human activities and parameter perturbation from climate change on the grassland ecosystem G. Sun & M. Mu 10.5194/npg-18-883-2011
17. Application of k-means clustering to environmental risk zoning of the chemical industrial area W. Shi & W. Zeng 10.1007/s11783-013-0581-5
18. Disillusionment and rebirth of deterministic weather forecasting and climate prediction: A perspective on the Lorenz’s chaos theory M. Mu et al. 10.1007/s11430-025-1714-8
19. A flexible method to determine the sensitive physical parameter combination for soil carbon under five plant types G. Sun & M. Mu 10.1002/ecs2.1920
20. 确定性天气预报和气候预测的幻灭与新生<bold>: </bold>洛伦兹经典混沌论文解读 穆. 穆 et al. 10.1360/SSTe-2025-0253
21. Nonlinear feature of the abrupt transitions between multiple equilibria states of an ecosystem model G. Sun & M. Mu 10.1007/s00376-009-0293-8
22. Using the Lund-Potsdam-Jena model to understand the different responses of three woody plants to land use in China G. Sun & M. Mu 10.1007/s00376-012-2011-1
23. Responses of soil moisture to climate change based on projections by the end of the 21st century under the high emission scenario in the ‘Huang–Huai–Hai Plain’ region of China F. Peng et al. 10.1016/j.jher.2016.10.003
24. Application of the Conditional Nonlinear Optimal Perturbations Method in the Shallow Lake Ecological Degradation and Restoration B. Wang & Q. Qi 10.1155/2015/215367