78 citations as recorded by crossref.

1. Does Nonsteroidal Anti-inflammatory Drug Use Modify All-Cause and Cause-Specific Mortality Associated with PM2.5 and Its Components? A Nationally Representative Cohort Study (2007–2017) W. Wang et al. https://doi.org/10.1021/envhealth.4c00133
2. The impact of cold spells and heat waves frequencies on the prevalence and incidence of stroke in middle-to-elderly age population in China: evidence from the China Health and Retirement Longitudinal Study (CHARLS) C. Sun et al. https://doi.org/10.1007/s00484-025-02885-9
3. High-Resolution Dynamical Downscaling Reveals Multi-Scale Evolution of the Surface Wind Field over Hainan Island (1961–2022) S. Huang et al. https://doi.org/10.3390/atmos16091037
4. Prediction of Potential Geothermal Disaster Areas along the Yunnan–Tibet Railway Project Z. Chen et al. https://doi.org/10.3390/rs14133036
5. Comparative Evaluation of Multi-Source Geospatial Data and Machine Learning Models for Hourly Near-Surface Air Temperature Mapping Z. Yan et al. https://doi.org/10.3390/atmos17010071
6. Changes in day–night dominance of combined day and night heatwave events in China during 1979–2018 S. Gao et al. https://doi.org/10.1088/1748-9326/ac9ecc
7. A 40-Year 1-km Daily Seamless Near-Surface Air Temperature Product Over Yellow River Basin of China M. Gao et al. https://doi.org/10.1109/JSTARS.2023.3301146
8. Mechanism of the effect of terrain-climate coupling on extreme precipitation events X. Zhou et al. https://doi.org/10.1080/19475683.2026.2624380
9. Bridging machine learning and spatiotemporal fusion to overcome blocky artifact in high-resolution air temperature mapping on GEE Y. Chen et al. https://doi.org/10.1016/j.srs.2026.100413
10. A novel scheme for seamless global mapping of daily mean air temperature (SGM_DMAT) at 1-km spatial resolution using satellite and auxiliary data R. Huang et al. https://doi.org/10.1016/j.ecoinf.2025.103266
11. Association between ultraviolet exposure and type 2 diabetes: Insights from the China Health and Retirement Longitudinal Study (CHARLS) C. Ming et al. https://doi.org/10.1016/j.jphotobiol.2025.113240
12. GSDM-WBT: global station-based daily maximum wet-bulb temperature data for 1981–2020 J. Dong et al. https://doi.org/10.5194/essd-14-5651-2022
13. An elevation-dependent downscaling framework for reconstructing high-resolution daily air temperature over China from 1961 to 2024 A. Du et al. https://doi.org/10.1016/j.atmosres.2026.109068
14. Climate change reduces elevational and latitudinal differences in spring phenology of pine caterpillar (Dendrolimus spectabilis Bulter) Y. Bao et al. https://doi.org/10.1016/j.scitotenv.2024.173847
15. Trend Analysis of Extreme Precipitation and Its Compound Events with Extreme Temperature Across China S. Yang et al. https://doi.org/10.3390/w17182713
16. Phenological Mapping of Invasive Insects: Decision Support for Surveillance and Management B. Barker & L. Coop https://doi.org/10.3390/insects15010006
17. Mortality and 15-min green space access across urbanicity levels in China W. Wang et al. https://doi.org/10.1016/j.envres.2025.122929
18. An improved growing season index including the maximum temperature and precipitation to predict foliar phenology of alpine grasslands on the Qinghai–Tibetan Plateau Q. Sun et al. https://doi.org/10.1093/jpe/rtaf009
19. Cosmopolitan and endemic species jointly enhance the potential of producing algal blooms in Tibetan glaciers D. Yan et al. https://doi.org/10.1038/s43247-025-02528-2
20. Assessing the spatiotemporal dynamics of water and carbon fluxes in subtropical forest of Xin’an River Basin using an improved Biome-BGC model Z. Feng et al. https://doi.org/10.1016/j.jhydrol.2024.131201
21. Spatial patterns and drivers of elevation dependency of extreme temperature changes on the Tibetan Plateau K. Yang et al. https://doi.org/10.1007/s00382-025-07725-5
22. Rising temperatures over the Greater Mekong Subregion in CMIP6: Present-day biases and constraint future projections R. Yang et al. https://doi.org/10.1016/j.atmosres.2023.106757
23. Dynamics of land cover changes and driving forces in China’s drylands since the 1970 s B. Wu et al. https://doi.org/10.1016/j.landusepol.2024.107097
24. Study on the mechanism of subgrade deformation of the Qinghai-Tibet railway in permafrost regions based on multisource data Q. Wang et al. https://doi.org/10.1016/j.trgeo.2025.101678
25. Remote sensing monitoring of the SDG indicator mountain green cover index in China from 2000 to 2022 J. Bian et al. https://doi.org/10.1016/j.jag.2025.104852
26. Spatiotemporal heterogeneity of population exposure to outdoor days across China’s climatic zones K. Yi et al. https://doi.org/10.1016/j.jenvman.2025.127998
27. Assessment of potential drought hazard in Gansu Province under climate change S. Zhao et al. https://doi.org/10.1016/j.ejrh.2025.103093
28. The Response of Vegetation Dynamics to Climate in Xinjiang from 1991 to 2018 Y. Liu et al. https://doi.org/10.3390/f15122065
29. High-resolution daily air temperature estimation over China: An explainable stratified stacking ensemble approach M. Cheng et al. https://doi.org/10.1016/j.srs.2026.100420
30. Projecting the evolutionary path of China’s photovoltaic potential using CMIP climate models F. Shuanglei et al. https://doi.org/10.1016/j.seta.2025.104783
31. Characterization of atmospheric volatile phenolic compounds in china: based on long-term observations - Possibly seriously underestimated OVOCs Z. Chen et al. https://doi.org/10.1016/j.atmosres.2025.108586
32. Spatiotemporal Variation of Compound Drought and Heatwave Events in Semi-Arid and Semi-Humid Regions of China Z. Liu et al. https://doi.org/10.3390/atmos16050568
33. Downscaled Satellite Solar-Induced Chlorophyll Fluorescence Detects the Early Response of Sugarcane to Drought Stress in a Major Sugarcane-Planting Region of China N. Yang et al. https://doi.org/10.3390/rs15163937
34. Reconstruction of all-sky daily air temperature datasets with high accuracy in China from 2003 to 2022 M. Wang et al. https://doi.org/10.1038/s41597-024-03980-z
35. Association between increase in temperature due to climate change and depressive symptoms in Korea H. Hwang et al. https://doi.org/10.1016/j.jad.2024.08.187
36. Extreme temperature events, “Life’s Essential 8”, and prevalence of chronic kidney disease: A nationally representative surveillance in China W. Wang et al. https://doi.org/10.1016/j.envint.2024.109176
37. Seasonal and Temporal Ensemble Models for Accurate Near-Surface Air Temperature Estimation R. Jalbuena & J. Yee https://doi.org/10.3390/s24237507
38. A global mountain long-term monthly mean air temperature dataset from priority-based weighted fusion of multi-source 1-km satellite LST products and in-situ observations W. Zhao et al. https://doi.org/10.1016/j.rse.2026.115425
39. A global dataset of daily maximum and minimum near-surface air temperature at 1 km resolution over land (2003–2020) T. Zhang et al. https://doi.org/10.5194/essd-14-5637-2022
40. Comprehensive drought risk assessment and its driving mechanism for the water source area of the Western Route of South-to-North Water Diversion Project in China W. Li et al. https://doi.org/10.1016/j.ijdrr.2025.105423
41. Space-time deep hybrid boosting learning for investigating day-night hourly seamless air temperature distribution from FY-4A over China Q. Su et al. https://doi.org/10.1016/j.jhydrol.2025.134245
42. Interpolating climate variables by using INLA and the SPDE approach G. Fioravanti et al. https://doi.org/10.1002/joc.8240
43. Impacts of land use, rainfall, and temperature on soil conservation in the Loess Plateau of China J. Chen et al. https://doi.org/10.1016/j.catena.2024.107883
44. Street view-derived city built environment and vulnerability to temperature extremes: a nationally representative population-based cohort study W. Wang et al. https://doi.org/10.1186/s12916-025-04585-y
45. County-scale assessment of Spartina alterniflora spread risk in Hebei’s coastal areas using the MaxEnt model X. Li et al. https://doi.org/10.1016/j.ecolind.2025.114325
46. Geographical specific association between heatwave intensity and the risk of new-onset hypertension among middle-aged and elderly adults H. Chen et al. https://doi.org/10.1007/s00484-025-03020-4
47. Near-surface air temperature estimation for areas with sparse observations based on transfer learning W. Wang et al. https://doi.org/10.1016/j.isprsjprs.2025.01.021
48. Responses of forests, cultivated lands, and grasslands to climatic factors at a basin scale C. Liu et al. https://doi.org/10.1007/s00704-026-06181-3
49. Interactions for exposure to fine particulate matter and multiple time-period cold spells on influenza: A multi-center case-crossover study S. Peng et al. https://doi.org/10.1016/j.jhazmat.2025.138470
50. Seasonally extreme temperature events accelerate in arid northwestern China during 1979–2018 R. Zhu et al. https://doi.org/10.1016/j.atmosres.2024.107230
51. Combination of Multiple Variables and Machine Learning for Regional Cropland Water and Carbon Fluxes Estimation: A Case Study in the Haihe River Basin M. Cheng et al. https://doi.org/10.3390/rs16173280
52. Spatiotemporal Trends of Extreme Temperature Events Along the Qinghai‐Tibet Plateau Transportation Corridor From 1981 to 2019 Based on Estimated Near‐Surface Air Temperature B. Wang et al. https://doi.org/10.1029/2023JD039040
53. Impact of ambient temperature on adverse pregnancy outcomes: a birth cohort study in Fuzhou, China J. Lin et al. https://doi.org/10.3389/fpubh.2023.1183129
54. Study on Multi-Measures Joint Optimization Regulation of Temperature Control and Ice Melting for Water Conveyance Projects in Cold Regions D. Yang et al. https://doi.org/10.3390/w16071039
55. Increasing soil organic carbon stock of alpine wetlands on the Tibetan Plateau: Results of future scenarios M. Jiang et al. https://doi.org/10.1016/j.gloplacha.2025.105104
56. Potential impacts of climate and anthropogenic-induced changes on DOM dynamics among the major Chinese rivers S. Li et al. https://doi.org/10.1016/j.geosus.2023.07.003
57. A 4 km daily gridded meteorological dataset for China from 2000 to 2020 J. Zhang et al. https://doi.org/10.1038/s41597-024-04029-x
58. Impacts of climate extremes on variations in evergreen forest ecosystem carbon–water fluxes across Southern China W. Xing et al. https://doi.org/10.1016/j.gloplacha.2025.104867
59. Climate Warming Increases the Voltinism of Pine Caterpillar (Dendrolimus spectabilis Butler): Model Predictions Across Elevations and Latitudes in Shandong Province, China Y. Bao et al. https://doi.org/10.3390/insects16030249
60. Diurnal temperature range and hypertension: cross-sectional and longitudinal findings from the China Health and Retirement Longitudinal Study (CHARLS) T. Yan et al. https://doi.org/10.1186/s12889-024-20148-x
61. Trade-offs and synergies of ecosystem services in the hilly purple soil area of southwestern China: Implications for sustainable land management Y. Xu et al. https://doi.org/10.1007/s11629-024-9399-9
62. Additional outpatient expenditures due to heatwaves: evidence from the Chinese older population W. Li et al. https://doi.org/10.1088/1748-9326/ad69a8
63. An integrative phenology and climatic suitability model for emerald ash borer B. Barker et al. https://doi.org/10.3389/finsc.2023.1239173
64. Investigating energy-saving potential in China's central heating L. Xu et al. https://doi.org/10.1016/j.esd.2024.101571
65. Characteristics and Attribution of Spatiotemporal Changes in Qilian Mountains' Runoff Over the Past Six Decades Z. Liu et al. https://doi.org/10.1029/2023JD039176
66. Unraveling the effects of extreme heat conditions on urban heat environment: Insights from local climate zones and integrated temperature data B. Wang et al. https://doi.org/10.1016/j.scs.2025.106254
67. Labor activism over searing heat Y. Huang & Y. Li https://doi.org/10.1016/j.jeem.2023.102888
68. An AI-Based Nested Large–Small Model for Passive Microwave Soil Moisture and Land Surface Temperature Retrieval Method M. Liang et al. https://doi.org/10.3390/rs17071198
69. Associations between heat waves and chronic kidney disease in China: The modifying role of land cover W. Wang et al. https://doi.org/10.1016/j.envint.2024.108657
70. Potential zones identification for district cooling system: A GIS-based multi-criteria assessment method incorporating cooling demand mapping Z. Lai et al. https://doi.org/10.1016/j.scs.2024.105327
71. Effects of climate change and grazing on the soil organic carbon stock of alpine wetlands on the Tibetan Plateau from 2000 to 2018 M. Jiang et al. https://doi.org/10.1016/j.catena.2024.107870
72. Spatially explicit assessment of the heat-related health risk in the Yangtze River Delta, China, using multisource remote sensing and socioeconomic data H. Wu et al. https://doi.org/10.1016/j.scs.2024.105300
73. Real-Time Integrative Mapping of the Phenology and Climatic Suitability for the Spotted Lanternfly, Lycorma delicatula B. Barker et al. https://doi.org/10.3390/insects16080790
74. Image-to-Image Training for Spatially Seamless Air Temperature Estimation With Satellite Images and Station Data P. Su et al. https://doi.org/10.1109/JSTARS.2023.3256363
75. Considering compound drought and heatwave events significantly improve forest pest occurrence prediction J. Huang et al. https://doi.org/10.1002/ps.70112
76. A Twenty-Year Assessment of Spatiotemporal Variation of Surface Temperature in the Yangtze River Delta, China Q. Zhang et al. https://doi.org/10.3390/rs15092274
77. A Novel Fully Coupled Physical–Statistical–Deep Learning Method for Retrieving Near-Surface Air Temperature from Multisource Data B. Du et al. https://doi.org/10.3390/rs14225812
78. Analyzing temperature and precipitation extremes in China using multiple gridded datasets: A comparative evaluation S. Ge et al. https://doi.org/10.1016/j.wace.2023.100614