51 citations as recorded by crossref.

1. Estimating the impacts of climate change: reconciling disconnects between physical climate and statistical models P. Polonik et al. https://doi.org/10.1007/s10584-025-03868-w
2. Identifying irrigated areas using land surface temperature and hydrological modelling: application to the Rhine basin D. Purnamasari et al. https://doi.org/10.5194/hess-29-1483-2025
3. Characterization of irrigation timing using thermal satellite observations, a data-driven approach E. Jalilvand et al. https://doi.org/10.1016/j.rse.2025.115153
4. Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in China D. Liao et al. https://doi.org/10.1029/2022EF003474
5. Projected climate change impacts on crop yields in China's drylands by statistical models and emulators S. Zi et al. https://doi.org/10.1016/j.agsy.2026.104949
6. Cultivar evolution underpins maize yield sensitivity to adverse climate conditions L. Zhang et al. https://doi.org/10.1038/s41467-026-71045-3
7. Irrigation Cooling Effect on Local Temperatures in the North China Plain Based on an Improved Detection Method M. Hou et al. https://doi.org/10.3390/rs15184571
8. CIrrMap250: annual maps of China's irrigated cropland from 2000 to 2020 developed through multisource data integration L. Zhang et al. https://doi.org/10.5194/essd-16-5207-2024
9. Multi-Source Monitoring of High-Temperature Heat Damage During Summer Maize Flowering Period Based on Machine Learning X. Wang et al. https://doi.org/10.3390/agriculture16020207
10. Probability of maize yield failure increases with drought occurrence but partially depends on local conditions in China S. Liu et al. https://doi.org/10.1016/j.eja.2022.126552
11. China can be self-sufficient in maize production by 2030 with optimal crop management N. Luo et al. https://doi.org/10.1038/s41467-023-38355-2
12. The cost of mismanaging crop heat stress with irrigation: Evidence from the mid-south USA N. Quintana-Ashwell et al. https://doi.org/10.1016/j.agwat.2024.108907
13. Novel spectral indices and transfer learning model in estimat moisture status across winter wheat and summer maize Z. Li et al. https://doi.org/10.1016/j.compag.2024.109762
14. Adaptation strategies for deficit irrigation management under extreme climate conditions K. Igwe et al. https://doi.org/10.1016/j.agwat.2025.109506
15. Supplemental irrigation in maize under heat stress improves kernel traits and starch physicochemical properties during the grain-filling stage X. Wang et al. https://doi.org/10.1016/j.indcrop.2026.123926
16. Land use and land cover dynamics: Implications for thermal stress and energy demands O. Adeyeri et al. https://doi.org/10.1016/j.rser.2023.113274
17. Spatiotemporal assessment of maize evapotranspiration and surface energy fluxes under varying irrigation regimes using UAV based METRIC C. Ankela et al. https://doi.org/10.1038/s41598-025-33916-5
18. Crop water origins and hydroclimate vulnerability of global croplands Y. Jiang & J. Burney https://doi.org/10.1038/s41893-025-01662-1
19. Improving Maize Drought Tolerance Under a Continental Climate: A Sap-Flow-Based Evaluation of Biostimulants and Supplemental Irrigation in the Pannonian Basin D. Pásztor et al. https://doi.org/10.3390/agronomy16141305
20. Identification of phenology-aligned sensitive windows to extreme-rainfall events for maize in north China Plain and actionable irrigation–drainage triggers L. Zhang et al. https://doi.org/10.1016/j.agwat.2026.110722
21. Sustainable global irrigation expansion could support only two-thirds of croplands under 1.5 °C and 3 °C warming L. He & L. Rosa https://doi.org/10.1038/s43016-026-01338-9
22. Water replenishment to maize under heat stress improves canopy temperature and grain filling traits during the reproductive stage X. Wang et al. https://doi.org/10.1016/j.agrformet.2023.109627
23. A model-data fusion approach for quantifying the carbon budget in cotton agroecosystems across the United States R. Qin et al. https://doi.org/10.1016/j.agrformet.2025.110407
24. Trade can buffer climate-induced risks and volatilities in crop supply I. Haqiqi https://doi.org/10.1088/2976-601X/ad7d12
25. Increasing exposure of cotton growing areas to compound drought and heat events in a warming climate S. Liu et al. https://doi.org/10.1016/j.agwat.2025.109307
26. The impact of small woody features on the land surface temperature in an agricultural landscape F. Ghafarian et al. https://doi.org/10.1016/j.agrformet.2024.109949
27. Water scarcity and local economic activity: Spatial spillovers and the role of irrigation A. Marbler https://doi.org/10.1016/j.jeem.2024.102931
28. Unequal impact of climate warming on meat yields of global cattle farming W. Liu et al. https://doi.org/10.1038/s43247-024-01232-x
29. More accurate specification of water supply shows its importance for global crop production J. Proctor et al. https://doi.org/10.1038/s43016-022-00592-x
30. Increasing concurrent exposure of global breadbaskets to reproductive heat extremes H. Zhang et al. https://doi.org/10.1088/1748-9326/ad6467
31. Significant changes in global maize yield sensitivity to vapor pressure deficit during 1983–2010 L. Han & G. Leng https://doi.org/10.1016/j.agwat.2024.109107
32. Climate change increases the interannual variance of summer crop yields globally through changes in temperature and water supply J. Proctor et al. https://doi.org/10.1126/sciadv.ady3575
33. Moisture stress assessment in rabi maize through UAV-mounted multispectral sensor Y. Kiranmai et al. https://doi.org/10.3389/fenvs.2025.1651422
34. Quantification and attribution of spectral variation in irrigated perennial tree crops J. Malcher et al. https://doi.org/10.1016/j.rsase.2025.101524
35. SENSE-GDD: A Satellite-Derived Temperature Monitoring Service to Provide Growing Degree Days I. Keramitsoglou et al. https://doi.org/10.3390/agriculture13051108
36. Anthropogenic Land Use and Land Cover Changes—A Review on Its Environmental Consequences and Climate Change P. Roy et al. https://doi.org/10.1007/s12524-022-01569-w
37. Estimation of High-Resolution Soil Moisture in Canadian Croplands Using Deep Neural Network with Sentinel-1 and Sentinel-2 Images S. Lee et al. https://doi.org/10.3390/rs15164063
38. Aquifer depletion exacerbates agricultural drought losses in the US High Plains T. Mieno et al. https://doi.org/10.1038/s44221-023-00173-7
39. Impacts of irrigation-climate interactions on irrigated soybean yields in the US Arkansas Delta from 2003 to 2017 Y. He et al. https://doi.org/10.1177/03091333231169443
40. Increased irrigation could mitigate future warming-induced maize yield losses in the Ogallala Aquifer L. Zhang et al. https://doi.org/10.1038/s43247-025-02459-y
41. Irrigation investments and agricultural productivity in Northern China Z. Wang et al. https://doi.org/10.1002/ajae.70072
42. Short-term extreme heat at flowering amplifies the impacts of climate change on maize production N. Luo et al. https://doi.org/10.1088/1748-9326/ace7e3
43. One health agriculture: Heat stress mitigation dilemma in agriculture E. Mikó et al. https://doi.org/10.1016/j.onehlt.2025.100966
44. Global irrigation cooling benefits for maize yield: The spatial–temporal patterns and possible mechanisms L. Han & G. Leng https://doi.org/10.1016/j.jhydrol.2025.132961
45. The footprint of urbanization on land surface phenology in China J. Gong et al. https://doi.org/10.1016/j.gloplacha.2026.105306
46. Characterization of the Energy Balance of Wheat Grown under Irrigation in the Hot, Arid Environment of Sudan A. Mohammed et al. https://doi.org/10.3390/atmos15010018
47. The biophysical and crop yield effects of irrigation and their changes in China’s drylands S. Zi et al. https://doi.org/10.1016/j.agwat.2025.109471
48. Regional Disparity in Impacts of Compound Heat and Drought Extremes on Population and Major Crops Across China X. Cheng et al. https://doi.org/10.1007/s13753-026-00707-z
49. Improving canopy transpiration model performance by considering concurrent hot and dry conditions D. Chen et al. https://doi.org/10.1016/j.agsy.2024.103957
50. A novel framework for pixel-wise estimation of irrigation water use by integrating remote sensing and reanalysis data L. Zhang et al. https://doi.org/10.1016/j.agwat.2025.110077
51. Risk of rice production failure in India under climate change C. Bowden et al. https://doi.org/10.1088/1748-9326/adf459