49 citations as recorded by crossref.

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2. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. https://doi.org/10.1016/j.earscirev.2022.104241
3. One-third of the global soybean production failure in 2012 is attributable to climate change R. Hamed et al. https://doi.org/10.1038/s43247-025-02171-x
4. Preseason ENSO signals and the underlying mechanisms driving soybean yield anomaly in the Americas M. Li & X. Li https://doi.org/10.1016/j.eja.2026.128077
5. The preseason warming of the Indian Ocean resulting in soybean failure in US M. Li et al. https://doi.org/10.5194/esd-16-2187-2025
6. Propagation of different types of compound drought-hot events: Spatiotemporal patterns and response relationship Q. Ma et al. https://doi.org/10.1016/j.ejrh.2025.103031
7. Interaction between dry and hot extremes at a global scale using a cascade modeling framework S. Mukherjee et al. https://doi.org/10.1038/s41467-022-35748-7
8. Persistent La Niñas drive joint soybean harvest failures in North and South America R. Hamed et al. https://doi.org/10.5194/esd-14-255-2023
9. Compound drought-heatwaves in China: driving factors and risks A. Feng et al. https://doi.org/10.1007/s11069-025-07621-5
10. Century‐long variations of growing‐season compound dry–hot extremes and their links with large‐scale climate patterns in China S. Guo et al. https://doi.org/10.1002/joc.8275
11. Enhancing weather index insurance through surrogate models: leveraging machine learning techniques and remote sensing data S. Wijesena & B. Pradhan https://doi.org/10.1088/2515-7620/adba2c
12. Multi-objective optimization of sustainable aviation fuel production pathways in the U.S. Corn Belt E. Ari Akdemir et al. https://doi.org/10.1016/j.biombioe.2025.107590
13. Dheed: an ERA5 based global database of compound dry and hot extreme events from 1950 to 2023 M. Weynants et al. https://doi.org/10.5194/essd-17-6621-2025
14. 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
15. Droughts are coming on faster D. Walker & A. Van Loon https://doi.org/10.1126/science.adh3097
16. A data-driven framework for assessing climatic impact drivers in the context of food security M. Benso et al. https://doi.org/10.5194/nhess-25-1387-2025
17. Three‐dimensional phenotyping of soybean roots under different water treatment conditions using fringe projection V. MacDans et al. https://doi.org/10.1002/ppj2.70055
18. Metabolite-derived spectral modelling can differentiate heat and drought stress under hot-dry environments W. Zhong et al. https://doi.org/10.1016/j.rse.2025.114884
19. Climate impact storylines for assessing socio-economic responses to remote events B. van den Hurk et al. https://doi.org/10.1016/j.crm.2023.100500
20. 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. https://doi.org/10.3390/agriculture12111791
21. Large-Scale Climate Factors of Compound Agrometeorological Disasters of Spring Maize in Liaoning, Northeast China S. Zhao et al. https://doi.org/10.3390/atmos14091414
22. Climate normals shape regional disparities of cotton yield failures compared to dominant impacts from climate extremes S. Liu et al. https://doi.org/10.1016/j.eja.2024.127490
23. Towards optimal anticipatory action: Maximizing the effectiveness of agricultural early warning systems with operations research D. De Clercq et al. https://doi.org/10.1016/j.ijdrr.2025.105249
24. Increased probability of hot and dry weather extremes during the growing season threatens global crop yields M. Heino et al. https://doi.org/10.1038/s41598-023-29378-2
25. From compound climate risks to adaptive governance: Sectoral economic exposure to heat-drought compound events in coastal China J. Chen et al. https://doi.org/10.1016/j.ocecoaman.2025.107755
26. Physiological Responses, Molecular Basis, and Integrated Regulation of Heat Tolerance in Soybean H. Geng et al. https://doi.org/10.3390/plants15111758
27. Genetic progress battles climate variability: drivers of soybean yield gains in China from 2006 to 2020 L. Zhang et al. https://doi.org/10.1007/s13593-023-00905-9
28. Developing a novel framework to re-examine half a century of compound drought and heatwave events in mainland China L. Zhao et al. https://doi.org/10.1016/j.scitotenv.2023.162366
29. Quantifying the compounding effects of natural hazard events: a case study on wildfires and floods in California S. Dulin et al. https://doi.org/10.1038/s44304-025-00090-7
30. Compound heat and moisture extreme impacts on global crop yields under climate change C. Lesk et al. https://doi.org/10.1038/s43017-022-00368-8
31. 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. https://doi.org/10.1016/j.ijdrr.2025.105575
32. Compound Dry and Wet Extremes Lead to an Increased Risk of Rice Yield Loss H. Chen & S. Wang https://doi.org/10.1029/2023GL105817
33. Understanding the impacts of extreme temperature and humidity compounds on winter wheat traits in China T. Jiang et al. https://doi.org/10.1016/j.agrformet.2024.110354
34. Spatiotemporal variation of growth–stage specific concurrent climate extremes and their impacts on rice yield in southern China R. Sun et al. https://doi.org/10.5194/esd-16-1971-2025
35. UAV-based phenotyping outperforms visual canopy wilting for evaluating soybean drought tolerance and yield retention under rainfed conditions P. Pawar et al. https://doi.org/10.3389/fpls.2026.1835549
36. Toward sustainable soybean supply and consumption in China under climate change and policy adaptation Y. Wang et al. https://doi.org/10.1016/j.spc.2026.02.010
37. Soil properties modulate actual evapotranspiration and precipitation impacts on crop yields in the USA M. Suliman et al. https://doi.org/10.1016/j.scitotenv.2024.175172
38. Land–atmosphere coupling exacerbates the moisture-associated heterogeneous impacts of compound extreme events on maize yield in China Z. Li et al. https://doi.org/10.1088/2752-5295/ad34a7
39. Land–atmosphere feedbacks contribute to crop failure in global rainfed breadbaskets H. Li et al. https://doi.org/10.1038/s41612-023-00375-6
40. A Review of Data for Compound Drought and Heatwave Stress Impacts on Crops: Current Progress, Knowledge Gaps, and Future Pathways Y. Li et al. https://doi.org/10.3390/plants14142158
41. Effects of compound hydro-meteorological extremes on rice yield in different cultivation practices in India A. Mishra et al. https://doi.org/10.1007/s00704-024-04894-x
42. Weed Management in Edamame Soybean Production N. Pavlović et al. https://doi.org/10.3390/plants14223438
43. Transformer model to determine spatio-temporal relationships of variables, and interpretability for soybean seed yield, oil, and protein prediction T. Ayanlade et al. https://doi.org/10.3389/frai.2026.1750108
44. Nonlinear increase of compound drought-heatwave events since the early 2000s Y. Kim et al. https://doi.org/10.1126/sciadv.aea3038
45. Compound and cascading droughts and heatwaves decrease maize yields by nearly half in Sinaloa, Mexico S. Sutanto et al. https://doi.org/10.1038/s44304-024-00026-7
46. Recent shift from energy- to moisture-limitation over global croplands E. Coffel & C. Lesk https://doi.org/10.1088/1748-9326/ad5032
47. 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. https://doi.org/10.1017/S0021859623000011
48. Rapid changes in warm and cold extremes in recent decades and their future projections for India R. Kumar et al. https://doi.org/10.1016/j.jenvman.2025.125832
49. ENSO exacerbated the impact of compound dry–hot events on maize yield over China during 1961–2020 X. Wu et al. https://doi.org/10.1016/j.gloplacha.2025.104828