22 citations as recorded by crossref.

1. Variations in soil moisture over the ‘Huang-Huai-Hai Plain’ in China due to temperature change using the CNOP-P method and outputs from CMIP5 G. Sun et al. https://doi.org/10.1007/s11430-016-9061-3
2. A study of parameter uncertainties causing uncertainties in modeling a grassland ecosystem using the conditional nonlinear optimal perturbation method G. Sun & D. Xie https://doi.org/10.1007/s11430-016-9065-9
3. Nonlinear optimal moisture perturbations as excitation of primary MJO events in a hybrid coupled climate model Y. Wei et al. https://doi.org/10.1007/s00382-019-05021-7
4. Spatio-temporal dynamics of land use transitions associated with human activities over Eurasian Steppe: Evidence from improved residual analysis F. Mumtaz et al. https://doi.org/10.1016/j.scitotenv.2023.166940
5. Medium- and long-term independent contributions of climate change, management measures and land conversion to vegetation dynamics and inspiration for ecological restoration in Inner Mongolia, China Y. Zhai et al. https://doi.org/10.1016/j.ecoleng.2024.107504
6. Dynamics and Drivers of Grasslands in the Eurasian Steppe during 2000–2014 Y. Zhang et al. https://doi.org/10.3390/su13115887
7. Exploring the phase-strength asymmetry of the North Atlantic Oscillation using conditional nonlinear optimal perturbation Z. Jiang et al. https://doi.org/10.1007/s00376-014-4094-3
8. The predictability of atmospheric and oceanic motions: Retrospect and prospects M. Mu et al. https://doi.org/10.1007/s11430-016-9101-x
9. Identifying Sensitive Model Parameter Combinations for Uncertainties in Land Surface Process Simulations over the Tibetan Plateau F. Peng & G. Sun https://doi.org/10.3390/w11081724
10. Evaluations of Uncertainty and Sensitivity in Soil Moisture Modeling on the Tibetan Plateau F. Peng et al. https://doi.org/10.1080/16000870.2019.1704963
11. Nonlinear Character Analysis for Bistability in virus–immune Dynamics X. Liu & G. Sun https://doi.org/10.2217/fvl-2019-0059
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 https://doi.org/10.1007/s10584-013-0833-1
13. A SVD-based ensemble projection algorithm for calculating the conditional nonlinear optimal perturbation L. Chen et al. https://doi.org/10.1007/s11430-014-4991-4
14. Projections of soil carbon using the combination of the CNOP-P method and GCMs from CMIP5 under RCP4.5 in north-south transect of eastern China G. Sun & M. Mu https://doi.org/10.1007/s11104-016-3098-4
15. The Application of CNOP in the Management of the Desert Ecosystem B. Wang et al. https://doi.org/10.4028/www.scientific.net/AMR.599.851
16. An Efficient Approach Based on the Gradient Definition for Solving Conditional Nonlinear Optimal Perturbation B. Mu et al. https://doi.org/10.1155/2017/3208431
17. Impacts of two types of errors on the predictability of terrestrial carbon cycle G. Sun & M. Mu https://doi.org/10.1002/ecs2.3315
18. Evaluation of conditional non-linear optimal perturbation obtained by an ensemble-based approach using the Lorenz-63 model X. Yin et al. https://doi.org/10.3402/tellusa.v66.22773
19. Trade‐offs and synergistic relationships on soil‐related ecosystem services in Central Asia under land use and land cover change J. Li et al. https://doi.org/10.1002/ldr.5274
20. 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. https://doi.org/10.1016/j.jher.2016.10.003
21. Role of nonlinear transmission term in stability of hand, foot and mouth disease dynamics X. Liu et al. https://doi.org/10.2217/fvl-2023-0198
22. Assessing the characteristics of net primary production due to future climate change and CO 2 under RCP4.5 in China G. Sun & M. Mu https://doi.org/10.1016/j.ecocom.2018.04.001