48 citations as recorded by crossref.

1. Business cycle synchronization and the Euro: A wavelet analysis L. Aguiar-Conraria & M. Joana Soares https://doi.org/10.1016/j.jmacro.2011.02.005
2. Social Intelligence Mining: Unlocking Insights from X H. Hassani et al. https://doi.org/10.3390/make5040093
3. The Potential of the Least-Squares Spectral and Cross-Wavelet Analyses for Near-Real-Time Disturbance Detection within Unequally Spaced Satellite Image Time Series E. Ghaderpour & T. Vujadinovic https://doi.org/10.3390/rs12152446
4. Long-term correlation analysis between monthly precipitable water vapor and precipitation using GPS data over China L. Zhou et al. https://doi.org/10.1016/j.asr.2022.04.026
5. Renewable energy, economic growth, and CO2 emissions contained Co-movement in African oil-producing countries: A wavelet based analysis O. Abban et al. https://doi.org/10.1016/j.esr.2022.100977
6. Wavelet power ratio signature spectrum analysis for prediction of winding insulation defects in transformer and shunt reactor H. Suryavanshi et al. https://doi.org/10.1109/TDEI.2017.006328
7. Significance and Causality in Continuous Wavelet and Wavelet Coherence Spectra Applied to Hydrological Time Series J. Rodríguez-Murillo & M. Filella https://doi.org/10.3390/hydrology7040082
8. California's carbon market and energy prices: a wavelet analysis L. Aguiar-Conraria et al. https://doi.org/10.1098/rsta.2017.0256
9. Comovement and disintegration of EU sovereign bond markets during the crisis L. Vácha et al. https://doi.org/10.1016/j.iref.2019.09.004
10. Wavelet Co-movement Significance Testing with Respect to Gaussian White Noise Background J. Poměnková et al. https://doi.org/10.1051/itmconf/20181601002
11. Seasonal variation of the quasi 5 day planetary wave: Causes and consequences for polar mesospheric cloud variability in 2007 K. Nielsen et al. https://doi.org/10.1029/2009JD012676
12. Oil market volatility and stock market volatility M. Bašta & P. Molnár https://doi.org/10.1016/j.frl.2018.02.001
13. A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy J. Krüger https://doi.org/10.1007/s41549-021-00060-8
14. Significance testing for wavelet bicoherence and its application in analyzing nonlinearity in turbulent shear flows Z. Ge https://doi.org/10.1103/PhysRevE.81.056311
15. Least-squares cross-wavelet analysis and its applications in geophysical time series E. Ghaderpour et al. https://doi.org/10.1007/s00190-018-1156-9
16. Historical decoupling in the EU: Evidence from time-frequency analysis S. Kapounek & Z. Kučerová https://doi.org/10.1016/j.iref.2018.10.018
17. Nexus between renewable energy certificates and electricity prices in India: Evidence from wavelet coherence analysis A. Shrestha & M. Kakinaka https://doi.org/10.1016/j.renene.2023.01.068
18. Analysis of Cross Correlations Between Well Logs of Hydrocarbon Reservoirs H. Dashtian et al. https://doi.org/10.1007/s11242-011-9794-x
19. A statistical test of phase difference via wavelet method and its application to the spread of air pollution Z. Wan et al. https://doi.org/10.1007/s00477-024-02801-4
20. A Multiresolution Investigation of How Macro Uncertainties Influence Natural Gas Price Dynamics B. Adrangi, Chatrath, Hatam-Rad, Kresta, Tichy. https://doi.org/10.47260/bae/1326
21. Cyclical Synchronization of the Czech Republic and the Euro Area: A Case of Structural Discrepancies in a Time-Frequency Domain M. Bednář & J. Bechný https://doi.org/10.1080/00128775.2020.1753080
22. Water Level Regulation for Eco-social Services Under Climate Change in Erhai Lake Over the Past 68 years in China Z. Wen et al. https://doi.org/10.3389/fenvs.2021.697694
23. Time-Frequency Analysis of Beach Bacteria Variations and its Implication for Recreational Water Quality Modeling Z. Ge & W. Frick https://doi.org/10.1021/es8024116
24. Convergence of the Economic Sentiment Cycles in the Eurozone: A Time‐Frequency Analysis L. Aguiar‐Conraria et al. https://doi.org/10.1111/j.1468-5965.2012.02315.x
25. Harmonic Analysis of the Relationship between GNSS Precipitable Water Vapor and Heavy Rainfall over the Northwest Equatorial Coast, Andes, and Amazon Regions S. Serrano-Vincenti et al. https://doi.org/10.3390/atmos13111809
26. Simulation of a torrential rainstorm in Xinjiang and gravity wave analysis R. Yang et al. https://doi.org/10.1088/1674-1056/27/5/059201
27. Bond Yields Movement Similarities and Synchronization in the G7: A Time–Frequency Analysis J. Martins https://doi.org/10.1007/s41549-022-00068-8
28. THE CONTINUOUS WAVELET TRANSFORM: MOVING BEYOND UNI‐ AND BIVARIATE ANALYSIS L. Aguiar‐Conraria & M. Soares https://doi.org/10.1111/joes.12012
29. Time-frequency contained co-movement of crude oil and world food prices: A wavelet-based analysis D. Pal & S. Mitra https://doi.org/10.1016/j.eneco.2016.12.020
30. Co-movement selective detection filter to identify time series co-movement indicator or to filter out symmetric economic shocks J. Poměnková & E. Klejmova https://doi.org/10.1016/j.dsp.2021.103033
31. Time–frequency contained co-movement of renewable electricity production, globalization, and co2 emissions: A wavelet-based analysis in Asia J. Wu et al. https://doi.org/10.1016/j.egyr.2022.11.054
32. Time–frequency relationship between share prices and exchange rates in India: Evidence from continuous wavelets A. Tiwari et al. https://doi.org/10.1007/s00181-014-0800-3
33. Lithium industry in the behavior of the mergers and acquisitions in the US oil and gas industry M. Monge & L. Gil-Alana https://doi.org/10.1080/15567249.2018.1541947
34. Business Cycle Synchronization of the Visegrad Four and the European Union L. Hanus & L. Vacha https://doi.org/10.2139/ssrn.2616055
35. Representation of the ozone quasi-biennial oscillation in JRA-3Q H. Naoe et al. https://doi.org/10.1007/s44394-026-00036-1
36. Growth cycle synchronization of the Visegrad Four and the European Union L. Hanus & L. Vácha https://doi.org/10.1007/s00181-018-1601-x
37. The nexus between Russian uranium exports and US nuclear-energy consumption: Do the spillover effects of geopolitical risks matter? M. Islam et al. https://doi.org/10.1016/j.energy.2024.130481
38. Estimating the income inequality-health relationship for the United States between 1941 and 2015: Will the relevant frequencies please stand up? J. Antony & T. Klarl https://doi.org/10.1016/j.jeoa.2020.100275
39. Limitations in wavelet analysis of non-stationary atmospheric gravity wave signatures in temperature profiles R. Reichert et al. https://doi.org/10.5194/amt-17-4659-2024
40. Detection of Atmospheric–Ionospheric Disturbances in TEC Time Series From Large GNSS Networks Using Wavelet Coherence Y. Yang et al. https://doi.org/10.1109/JSTARS.2023.3276346
41. A Survey on Change Detection and Time Series Analysis with Applications E. Ghaderpour et al. https://doi.org/10.3390/app11136141
42. Social Trend Mining: Lead or Lag H. Hassani et al. https://doi.org/10.3390/bdcc7040171
43. Optimized Segmentation-Adaptive-Based Testing of the Wavelet Co-movement Analysis: the Case of US and G8 Countries J. Poměnková et al. https://doi.org/10.1051/itmconf/20192401003
44. Multi-model ensemble analysis of Pacific and Atlantic SST variability in unperturbed climate simulations D. Zanchettin et al. https://doi.org/10.1007/s00382-015-2889-2
45. Wavelets in the analysis of local time series of the Earth's surface air A. Volvach et al. https://doi.org/10.1016/j.heliyon.2023.e23237
46. Carbon financial markets: A time–frequency analysis of CO2 prices R. Sousa et al. https://doi.org/10.1016/j.physa.2014.06.058
47. Gravimetry-based terrigenous freshwater extension in the southwestern South China Sea and its response to monsoon under ENSO Z. Ma & H. Fok https://doi.org/10.1016/j.scitotenv.2022.159583
48. A Review of Wavelet Transform Time–Frequency Methods for NIRS-Based Analysis of Cerebral Autoregulation P. Addison https://doi.org/10.1109/RBME.2015.2436978