37 citations as recorded by crossref.

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2. Large-Scale Climate Factors of Compound Agrometeorological Disasters of Spring Maize in Liaoning, Northeast China S. Zhao et al. 10.3390/atmos14091414
3. Climate normals shape regional disparities of cotton yield failures compared to dominant impacts from climate extremes S. Liu et al. 10.1016/j.eja.2024.127490
4. Towards optimal anticipatory action: Maximizing the effectiveness of agricultural early warning systems with operations research D. De Clercq et al. 10.1016/j.ijdrr.2025.105249
5. Increased probability of hot and dry weather extremes during the growing season threatens global crop yields M. Heino et al. 10.1038/s41598-023-29378-2
6. One-third of the global soybean production failure in 2012 is attributable to climate change R. Hamed et al. 10.1038/s43247-025-02171-x
7. From compound climate risks to adaptive governance: Sectoral economic exposure to heat-drought compound events in coastal China J. Chen et al. 10.1016/j.ocecoaman.2025.107755
8. Genetic progress battles climate variability: drivers of soybean yield gains in China from 2006 to 2020 L. Zhang et al. 10.1007/s13593-023-00905-9
9. Developing a novel framework to re-examine half a century of compound drought and heatwave events in mainland China L. Zhao et al. 10.1016/j.scitotenv.2023.162366
10. Interaction between dry and hot extremes at a global scale using a cascade modeling framework S. Mukherjee et al. 10.1038/s41467-022-35748-7
11. Quantifying the compounding effects of natural hazard events: a case study on wildfires and floods in California S. Dulin et al. 10.1038/s44304-025-00090-7
12. Persistent La Niñas drive joint soybean harvest failures in North and South America R. Hamed et al. 10.5194/esd-14-255-2023
13. Compound heat and moisture extreme impacts on global crop yields under climate change C. Lesk et al. 10.1038/s43017-022-00368-8
14. Substantially increased risk of elderly to compound heat and drought events in coastal China under 1.5 °C–3.0 °C warming scenarios J. Chen et al. 10.1016/j.ijdrr.2025.105575
15. Century‐long variations of growing‐season compound dry–hot extremes and their links with large‐scale climate patterns in China S. Guo et al. 10.1002/joc.8275
16. Compound Dry and Wet Extremes Lead to an Increased Risk of Rice Yield Loss H. Chen & S. Wang 10.1029/2023GL105817
17. Understanding the impacts of extreme temperature and humidity compounds on winter wheat traits in China T. Jiang et al. 10.1016/j.agrformet.2024.110354
18. Enhancing weather index insurance through surrogate models: leveraging machine learning techniques and remote sensing data S. Wijesena & B. Pradhan 10.1088/2515-7620/adba2c
19. Multi-objective optimization of sustainable aviation fuel production pathways in the U.S. Corn Belt E. Ari Akdemir et al. 10.1016/j.biombioe.2025.107590
20. Increasing exposure of cotton growing areas to compound drought and heat events in a warming climate S. Liu et al. 10.1016/j.agwat.2025.109307
21. Soil properties modulate actual evapotranspiration and precipitation impacts on crop yields in the USA M. Suliman et al. 10.1016/j.scitotenv.2024.175172
22. Droughts are coming on faster D. Walker & A. Van Loon 10.1126/science.adh3097
23. Land–atmosphere coupling exacerbates the moisture-associated heterogeneous impacts of compound extreme events on maize yield in China Z. Li et al. 10.1088/2752-5295/ad34a7
24. A data-driven framework for assessing climatic impact drivers in the context of food security M. Benso et al. 10.5194/nhess-25-1387-2025
25. Land–atmosphere feedbacks contribute to crop failure in global rainfed breadbaskets H. Li et al. 10.1038/s41612-023-00375-6
26. Effects of compound hydro-meteorological extremes on rice yield in different cultivation practices in India A. Mishra et al. 10.1007/s00704-024-04894-x
27. Compound and cascading droughts and heatwaves decrease maize yields by nearly half in Sinaloa, Mexico S. Sutanto et al. 10.1038/s44304-024-00026-7
28. Recent shift from energy- to moisture-limitation over global croplands E. Coffel & C. Lesk 10.1088/1748-9326/ad5032
29. Climate impact storylines for assessing socio-economic responses to remote events B. van den Hurk et al. 10.1016/j.crm.2023.100500
30. Soybean response under climatic scenarios with changed mean and variability under rainfed and irrigated conditions in major soybean-growing states of the USA A. Timilsina et al. 10.1017/S0021859623000011
31. Coupling Process-Based Crop Model and Extreme Climate Indicators with Machine Learning Can Improve the Predictions and Reduce Uncertainties of Global Soybean Yields Q. Sun et al. 10.3390/agriculture12111791
32. Rapid changes in warm and cold extremes in recent decades and their future projections for India R. Kumar et al. 10.1016/j.jenvman.2025.125832
33. ENSO exacerbated the impact of compound dry–hot events on maize yield over China during 1961–2020 X. Wu et al. 10.1016/j.gloplacha.2025.104828
34. Coordinated evaporative demand and precipitation maximize rainfed maize and soybean crop yields in the USA X. Luan et al. 10.1002/eco.2500
35. Increase of Simultaneous Soybean Failures Due To Climate Change H. Goulart et al. 10.1029/2022EF003106
36. Yield variability of soybean varieties in the Non-Chernozem zone N. Zarenkova et al. 10.1051/bioconf/20236605006
37. Substantial increase of compound droughts and heatwaves in wheat growing seasons worldwide Y. He et al. 10.1002/joc.7518