15 citations as recorded by crossref.

1. A Review of Heat Wave Impacts on the Food–Energy–Water Nexus and Policy Response M. Wang et al. https://doi.org/10.3390/cli14010027
2. The role of root-zone soil moisture in delaying vegetation responses to drought: Comparative insights from karst and non-karst areas Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134216
3. Changes in vegetation phenology and its response to different layers of soil moisture in the dry zone of Central Asia, 1982–2022 R. Tian et al. https://doi.org/10.1016/j.jhydrol.2024.132314
4. Widespread reduction of ozone extremes in storylines of future climate T. Emmerichs et al. https://doi.org/10.1038/s44407-025-00019-4
5. A Study on the Response of Precipitation to Climatic and Ecological Factors in the Middle and Lower Reaches of the Yellow River Based on Wavelet Analysis G. Liu et al. https://doi.org/10.3390/w18020154
6. Multi-source data fusion for estimating potato transpiration under water stress using machine learning models Y. Li et al. https://doi.org/10.1016/j.agwat.2025.109987
7. Drought modulates ozone stress through BVOCs, antioxidant defenses, and metabolic responses in a tropical tree F. Anselmo-Moreira et al. https://doi.org/10.1007/s00425-026-05033-8
8. Applicability of a closed-path analyser for simultaneous eddy covariance measurement of carbon dioxide, water vapor, nitrous oxide, methane, ozone and ammonia fluxes in a horticultural crop G. Rana et al. https://doi.org/10.1016/j.scitotenv.2025.179900
9. Exploring vegetation health in Southern Thailand under climate stress from temperature and water impacts between 2000 and 2023 K. Mehmood et al. https://doi.org/10.1038/s41598-025-16293-x
10. Remote sensing and machine learning-based mapping of climatic stress impacts on vegetation and carbon sequestration K. Mehmood et al. https://doi.org/10.1080/10106049.2026.2641408
11. Impact of vegetation restoration on soil moisture dynamics in temperate water-limited regions L. Lan et al. https://doi.org/10.1016/j.ejrh.2025.102605
12. Multivariate statistical analysis of rainfall variability in Brazil: Assessing climatic and environmental drivers of precipitation A. Amaral e Silva et al. https://doi.org/10.1016/j.rsase.2025.101849
13. Reference evapotranspiration forecasting in the North Etna aquifer: a comparative analysis of statistical, deep learning, and machine learning models M. Lahkim-Bennani et al. https://doi.org/10.1007/s00704-025-05726-2
14. Refining the shuttleworth-wallace model with particle swarm optimization and genetic algorithm for evapotranspiration simulation in the ecotone of the eastern margin of the tibetan plateau Z. Weihang et al. https://doi.org/10.1016/j.catena.2026.110014
15. Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. https://doi.org/10.5194/acp-24-12225-2024