17 citations as recorded by crossref.

1. Transfer Entropy Approach to Discovering the Ranking of Solar Wind Drivers to Geomagnetic Storm J. YU et al. https://doi.org/10.11728/cjss2022.03.210406045
2. Preface: Information theory and machine learning for geospace research S. Wing & G. Balasis https://doi.org/10.1016/j.asr.2024.09.007
3. Periodic Narrowband Radio Wave Emissions and Inward Plasma Transport at Saturn's Magnetosphere S. Wing et al. https://doi.org/10.3847/1538-3881/ab818d
4. Information theoretical approach to discovering solar wind drivers of the outer radiation belt S. Wing et al. https://doi.org/10.1002/2016JA022711
5. Applications of Information Theory in Solar and Space Physics S. Wing & J. Johnson https://doi.org/10.3390/e21020140
6. A solar cycle dependence of nonlinearity in magnetospheric activity J. Johnson & S. Wing https://doi.org/10.1029/2004JA010638
7. An information-theory examination of the “upstream-turbulence effect” in solar-wind/magnetosphere coupling S. Wing & J. Borovsky https://doi.org/10.3389/fphy.2026.1768466
8. Information Theoretic Approach to Discovering Causalities in the Solar Cycle S. Wing et al. https://doi.org/10.3847/1538-4357/aaa8e7
9. Untangling the Solar Wind and Magnetospheric Drivers of the Radiation Belt Electrons S. Wing et al. https://doi.org/10.1029/2021JA030246
10. Integrating vector and copula-based models with conditional heteroskedasticity for enhanced suspended sediment load simulation M. Nazeri Tahroudi et al. https://doi.org/10.1007/s40808-025-02497-7
11. Monthly Simulation of Pan Evaporation Using Copula-Based Models Considering the Effect of Heteroscedasticity A. Lalehpour et al. https://doi.org/10.1007/s00024-025-03748-5
12. Hybrid variable monitoring: An unsupervised process monitoring framework with binary and continuous variables M. Wang et al. https://doi.org/10.1016/j.automatica.2022.110670
13. Complex Systems Methods Characterizing Nonlinear Processes in the Near-Earth Electromagnetic Environment: Recent Advances and Open Challenges G. Balasis et al. https://doi.org/10.1007/s11214-023-00979-7
14. Testing for nonlinearity of streamflow processes at different timescales W. Wang et al. https://doi.org/10.1016/j.jhydrol.2005.02.045
15. Information-theory-based System-level Babcock–Leighton Flux Transport Model–Data Comparisons S. Wing et al. https://doi.org/10.3847/2041-8213/ad94db
16. Wavelet–Volterra coupled model for monthly stream flow forecasting R. Maheswaran & R. Khosa https://doi.org/10.1016/j.jhydrol.2012.04.017
17. Testing for nonlinearity in European climatic time series by the method of surrogate data J. Mikšovský & A. Raidl https://doi.org/10.1007/s00704-005-0130-7