30 citations as recorded by crossref.

1. Evaluating the complementary relationship for estimating evapotranspiration using the multi-site data across north China G. Zhu et al. https://doi.org/10.1016/j.agrformet.2016.06.006
2. Assessment of three models for estimating daily net radiation in southern Africa L. Myeni et al. https://doi.org/10.1016/j.agwat.2019.105951
3. Contrasting Land and Atmospheric Controls on the Generalized Complementary Relationship of Evaporation Over Grasslands and Forests S. Han et al. https://doi.org/10.1029/2023WR035501
4. Artificial neural networks estimate evapotranspiration for Miscanthus × giganteus as effectively as empirical model but with fewer inputs G. Aslan-Sungur et al. https://doi.org/10.1007/s00704-025-05812-5
5. Operational soil moisture modeling using a multi-stage approach based on the generalized complementary principle N. Andini et al. https://doi.org/10.1016/j.agwat.2020.106026
6. Prediction of Potential and Actual Evapotranspiration Fluxes Using Six Meteorological Data-Based Approaches for a Range of Climate and Land Cover Types M. Mobilia & A. Longobardi https://doi.org/10.3390/ijgi10030192
7. A comparative assessment of SWAT-model-based evapotranspiration against regional-scale estimates J. Chun et al. https://doi.org/10.1016/j.ecoleng.2018.07.015
8. A hybrid approach combining the FAO-56 method and the complementary principle for predicting daily evapotranspiration on a rainfed crop field D. Kim et al. https://doi.org/10.1016/j.jhydrol.2019.123941
9. A drought index based on actual evapotranspiration from the Bouchet hypothesis D. Kim & J. Rhee https://doi.org/10.1002/2016GL070302
10. Estimating Global Distribution of Evapotranspiration and Water Balance Using Complementary Methods F. Anayah & J. Kaluarachchi https://doi.org/10.1080/07055900.2019.1656052
11. Historical developments of models for estimating evaporation using standard meteorological data T. McMahon et al. https://doi.org/10.1002/wat2.1172
12. Calibration and Uncertainty Analysis Using the Sparrow Model for Dissolved‐Solids Transport in the Upper Colorado River Basin J. Keum & J. Kaluarachchi https://doi.org/10.1111/1752-1688.12302
13. Developing an Integrated Complementary Relationship for Estimating Evapotranspiration H. Kim & J. Kaluarachchi https://doi.org/10.4236/nr.2018.94007
14. Actual evapotranspiration estimation over the Tuojiang River Basin based on a hybrid CNN-RF model Y. Li et al. https://doi.org/10.1016/j.jhydrol.2022.127788
15. Grid-Based Model for Estimating Evapotranspiration Rates of Heterogeneous Land Surface M. Shanmugam et al. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001436
16. Cascading effects of drought in Xilin Gol temperate grassland, China J. Ma & J. Gao https://doi.org/10.1038/s41598-023-38002-2
17. Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data R. Adnan et al. https://doi.org/10.1080/19942060.2023.2192258
18. An application of GRACE mission datasets for streamflow and baseflow estimation in the Conterminous United States basins S. Mohanasundaram et al. https://doi.org/10.1016/j.jhydrol.2021.126622
19. Historical Drought Assessment Over the Contiguous United States Using the Generalized Complementary Principle of Evapotranspiration D. Kim et al. https://doi.org/10.1029/2019WR024991
20. Triple Collocation-Based Uncertainty Analysis and Data Fusion of Multi-Source Evapotranspiration Data Across China D. Wang et al. https://doi.org/10.3390/atmos15121410
21. Feasibility analysis of using inverse modeling for estimating field-scale evapotranspiration in maize and soybean fields from soil water content monitoring networks F. Foolad et al. https://doi.org/10.5194/hess-21-1263-2017
22. Linking the complementary evaporation relationship with the Budyko framework for ungauged areas in Australia D. Kim et al. https://doi.org/10.5194/hess-26-5955-2022
23. More reliable determination of daily evaporation from the pan in cold regions by limited meteorological factors M. Mohammadi et al. https://doi.org/10.1007/s13201-024-02100-x
24. A review of the complementary principle of evaporation: from the original linear relationship to generalized nonlinear functions S. Han & F. Tian https://doi.org/10.5194/hess-24-2269-2020
25. Performance comparison of complementary relationship and inverse analysis methods for evapotranspiration estimation T. MARUYAMA et al. https://doi.org/10.2183/pjab.101.028
26. Derivation of a Sigmoid Generalized Complementary Function for Evaporation With Physical Constraints S. Han & F. Tian https://doi.org/10.1029/2017WR021755
27. Estimating evapotranspiration using the complementary relationship and the Budyko framework H. Kim & J. Kaluarachchi https://doi.org/10.2166/wcc.2017.148
28. Integrated GNSS-derived precipitable water vapor and remote sensing data for agricultural drought monitoring and impact analysis P. Pipatsitee et al. https://doi.org/10.1016/j.rsase.2024.101310
29. A new drought index that considers the joint effects of climate and land surface change M. Liu et al. https://doi.org/10.1002/2016WR020178
30. Constraining the power-function complementary relationship with a steady-state Budyko equation for predicting terrestrial evapotranspiration globally D. Kim et al. https://doi.org/10.1016/j.agrformet.2023.109808