42 citations as recorded by crossref.

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2. On the Importance of Statistical Homogeneity to the Scaling of Rain A. Jameson 10.1175/JTECH-D-18-0160.1
3. An improved method for restraining the end effect in empirical mode decomposition and its applications to the fault diagnosis of large rotating machinery F. Wu & L. Qu 10.1016/j.jsv.2008.01.020
4. A review on Hilbert‐Huang transform: Method and its applications to geophysical studies N. Huang & Z. Wu 10.1029/2007RG000228
5. Current awareness 10.1002/hyp.6193
6. Tremor amplitude determination for use in clinical applications P. Slack & X. Ma 10.1088/0957-0233/18/11/030
7. An Investigation of the Short-Term Predictability of Precipitation Using High-Resolution Composite Radar Observations E. Ruzanski & V. Chandrasekar 10.1175/JAMC-D-11-069.1
8. Noise reduction in digital speckle pattern interferometry using bidimensional empirical mode decomposition M. Bernini et al. 10.1364/AO.47.002592
9. TSRC: A Deep Learning Model for Precipitation Short-Term Forecasting over China Using Radar Echo Data Q. Huang et al. 10.3390/rs15010142
10. Skilful nowcasting of extreme precipitation with NowcastNet Y. Zhang et al. 10.1038/s41586-023-06184-4
11. Physically constrained generative adversarial networks for improving precipitation fields from Earth system models P. Hess et al. 10.1038/s42256-022-00540-1
12. Scale Filtering for Improved Nowcasting Performance in a High-Resolution X-Band Radar Network E. Ruzanski & V. Chandrasekar 10.1109/TGRS.2010.2103946
13. Impact of EMD decomposition and random initialisation of weights in ANN hindcasting of daily stream flow series: An empirical examination G. Napolitano et al. 10.1016/j.jhydrol.2011.06.015
14. EMD-RBFNN Coupling Prediction Model of Complex Regional Groundwater Depth Series: A Case Study of the Jiansanjiang Administration of Heilongjiang Land Reclamation in China Q. Fu et al. 10.3390/w8080340
15. Planetary waves in the upper stratosphere and lower mesosphere during 2009 Arctic major stratospheric warming P. Kishore et al. 10.5194/angeo-30-1529-2012
16. Comparison of lidar- and allometry-derived canopy height models in an eastern deciduous forest F. Sullivan et al. 10.1016/j.foreco.2017.10.005
17. Approximate entropy as a nonlinear feature parameter for fault diagnosis in rotating machinery Y. He et al. 10.1088/0957-0233/23/4/045603
18. PERFORMANCE EVALUATION OF ENSEMBLE EMPIRICAL MODE DECOMPOSITION R. NIAZY et al. 10.1142/S1793536909000102
19. Two-dimensional EMD with shape-preserving spline interpolation W. Brown & M. van der Walt 10.1515/jaa-2022-1002
20. Skilful precipitation nowcasting using deep generative models of radar S. Ravuri et al. 10.1038/s41586-021-03854-z
21. Learnable Empirical Mode Decomposition based on Mathematical Morphology S. Velasco-Forero et al. 10.1137/21M1417867
22. The effect of flow and orography on the spatial distribution of the very short-term predictability of rainfall from composite radar images L. Foresti & A. Seed 10.5194/hess-18-4671-2014
23. Diagnosis of subharmonic faults of large rotating machinery based on EMD F. Wu & L. Qu 10.1016/j.ymssp.2008.03.007
24. Using data-derived perturbations to incorporate uncertainty in generating stochastic areal rainfall from point rainfall J. Ndiritu 10.1080/02626667.2013.840726
25. A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images W. Dong et al. 10.3390/rs6098446
26. Extracting magnetic anomalies based on an improved BEMD method: A case study in the Pangxidong Area, South China W. Hou et al. 10.1016/j.cageo.2012.05.006
27. Empirical Mode Decomposition on the sphere: application to the spatial scales of surface temperature variations N. Fauchereau et al. 10.5194/hess-12-933-2008
28. Climatic forcing on hydrography of a Mediterranean bay (Alfacs Bay) J. Solé et al. 10.1016/j.csr.2009.04.012
29. Empirical mode decomposition and long-range correlation analysis of sunspot time series Y. Zhou & Y. Leung 10.1088/1742-5468/2010/12/P12006
30. Enhancement of Satellite Precipitation Estimations with Bias Correction and Data-Merging Schemes for Flood Forecasting E. Soo et al. 10.1061/(ASCE)HE.1943-5584.0002190
31. Empirical mode decomposition and power spectrum filtering for detection of frequency channels related to multi-scale geochemical anomalies: Metal exploration targeting in Moalleman district, NE Iran S. Esmaeiloghli et al. 10.1016/j.gexplo.2023.107157
32. Radar rainfall: Separating signal and noise fields to generate meaningful ensembles G. Pegram et al. 10.1016/j.atmosres.2010.11.018
33. MODWT-ARMA model for time series prediction L. Zhu et al. 10.1016/j.apm.2013.10.002
34. An Effective EMD-Based Feature Extraction Method for Boring Chatter Recognition X. Li et al. 10.4028/www.scientific.net/AMM.34-35.1058
35. Deep learning model based on multi-scale feature fusion for precipitation nowcasting J. Tan et al. 10.5194/gmd-17-53-2024
36. Assessing the performance of rational spline-based empirical mode decomposition using a global annual precipitation dataset M. Peel et al. 10.1098/rspa.2008.0352
37. A formal study of the nonlinearity and consistency of the Empirical Mode Decomposition N. Tsakalozos et al. 10.1016/j.sigpro.2011.09.014
38. Dim target detection and tracking based on empirical mode decomposition H. Li et al. 10.1016/j.image.2008.10.001
39. Separating the gravity field of Iraq by using bidimensional empirical mode decomposition technique A. Al-Rahim 10.1007/s12517-015-2118-7
40. Pores-Preserving Face Cleaning Based on Improved Empirical Mode Decomposition Y. Liu et al. 10.1007/s11390-009-9245-0
41. Empirical mode decomposition analysis of climate changes with special reference to rainfall data M. Molla et al. 10.1155/DDNS/2006/45348
42. ON INTRINSIC MODE FUNCTION G. WANG et al. 10.1142/S1793536910000549