418 citations as recorded by crossref.

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44. Nonlinear and interactive effects of compound heatwaves on urban nighttime economic activities revealed by explainable machine learning C. Li et al. https://doi.org/10.1016/j.uclim.2026.103055
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48. Spatial–Temporal Patterns of Methane Emissions from Livestock in Xinjiang During 2000–2020 Q. Xu et al. https://doi.org/10.3390/su17209021
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52. Assessment of Global Land Use and Land Cover datasets for national-scale applications in Pakistan S. Abbas et al. https://doi.org/10.1080/01431161.2026.2697510
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55. Urban heat island dynamics and risk stratification across local climate zones during extreme heat events: Biophysical drivers and evidence-based cooling prioritization in Dubai's arid environment Y. Tesfaldet et al. https://doi.org/10.1016/j.scs.2026.107762
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67. Mapping Wind Turbine Distribution in Forest Areas of China Using Deep Learning Methods P. Yang et al. https://doi.org/10.3390/rs17050940
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69. Hotspots and drivers of flood damage in Assam, India: A spatio-temporal assessment of flood-induced damage and their driving factors A. Banerjee et al. https://doi.org/10.1016/j.ijdrr.2026.106266
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72. Dataset of typical terminal lake and surrounding oasis outlines in arid/semi-arid endorheic basins based on remote sensing data Z. Sun et al. https://doi.org/10.1038/s41597-026-06671-z
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76. Monitoring Changes in Landsat Thermal Features in Urban and Non-Urban Interfaces from 1986 to 2023 in Two International Urban Centers: Implications for Climate and Global Issues H. Shi et al. https://doi.org/10.3390/rs18040590
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