52 citations as recorded by crossref.

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41. Long-term winter temperatures in central Mediterranean: forecast skill of an ensemble statistical model N. Diodato & G. Bellocchi 10.1007/s00704-013-0915-z
42. Sea level rise around Korea: Analysis of tide gauge station data with the ensemble empirical mode decomposition method Y. Kim & K. Cho 10.1016/j.jher.2014.12.002
43. A New Feedback DE‐ELM with Time Delay‐Based EFSM Approach for Fault Prediction of Non‐Linear Processes Y. Xu et al. 10.1002/cjce.22246
44. Empirical Mode Decomposition for Advanced Speech Signal Processing M. Islam Molla et al. 10.2299/jsp.17.215
45. Relationship between flood/drought disasters and ENSO from 1857 to 2003 in the Taihu Lake basin, China Y. Yin et al. 10.1016/j.quaint.2008.12.016
46. An Evaluation of the Parallel Ensemble Empirical Mode Decomposition Method in Revealing the Role of Downscaling Processes Associated with African Easterly Waves in Tropical Cyclone Genesis Y. Wu & B. Shen 10.1175/JTECH-D-15-0257.1
47. Spectral estimation-What is new? What is next? J. Tary et al. 10.1002/2014RG000461
48. The Salinity of Coastal Waters as a Bellwether for Global Water Cycle Changes S. Fournier et al. 10.1029/2023GL106684
49. Turbulence scale and strength analysis in the roughness and inertial sublayers over urban areas: A wind tunnel study F. Li et al. 10.1016/j.buildenv.2024.112193
50. Processing Turbulence Data Collected on board the Helicopter Observation Platform (HOP) with the Empirical Mode Decomposition (EMD) Method H. Holder et al. 10.1175/2011JTECHA1410.1
51. Natural logarithm transformed EEMD instantaneous attributes of reflection data C. Chen & Y. Jeng 10.1016/j.jappgeo.2013.05.006
52. Variability modes of September Arctic sea ice: drivers and their contributions to sea ice trend and extremes M. Karami et al. 10.1088/2752-5295/accbe3