97 citations as recorded by crossref.

1. An Annual “Urban Core-Suburban-Rural” Triad Structure Dataset for China From 1992 to 2021 B. Xiong et al. 10.1109/JSTARS.2023.3341390
2. Diverse seasonal hysteresis of surface urban heat islands across Chinese cities: Patterns and drivers C. Yang & S. Zhao 10.1016/j.rse.2023.113644
3. Simulating land surface temperature using biophysical variables related to building density and height in Dar Es Salaam, Tanzania O. Simon et al. 10.1080/10106049.2022.2142971
4. The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images X. Chen et al. 10.3390/rs14102327
5. The Regional Disparity of Urban Spatial Expansion Is Greater than That of Urban Socioeconomic Expansion in China: A New Perspective from Nighttime Light Remotely Sensed Data and Urban Land Datasets Z. Chang et al. 10.3390/rs14174348
6. Recognizing the mapping relationship between wind power output and meteorological information at a province level by coupling GIS and CNN technologies J. Zhang et al. 10.1016/j.apenergy.2024.122791
7. Toward achieving smart cities in Africa: challenges to data use and the way forward E. Agyemang et al. 10.1017/dap.2024.11
8. Spatiotemporal evolution and influencing mechanism of urbanization and ecological environmental quality between 2000 and 2020 in Henan Province, China X. Dong et al. 10.1016/j.rsase.2025.101492
9. Differentiated effects of morphological and functional polycentric urban spatial structure on carbon emissions in China: an empirical analysis from remotely sensed nighttime light approach Y. Wu et al. 10.1080/17538947.2023.2176558
10. Stereollax Net: Stereo Parallax-Based Deep Learning Network for Building Height Estimation S. Jabbar & M. Taj 10.1109/TGRS.2024.3387476
11. Characterizing the 3-D structure of each building in the conterminous United States Y. Che et al. 10.1016/j.scs.2024.105318
12. Soil is a major contributor to global greenhouse gas emissions and climate change P. Kopittke et al. 10.5194/soil-10-873-2024
13. A dataset of built-up areas of Chinese cities in 2020 J. SUN et al. 10.11922/11-6035.csd.2021.0087.zh
14. What factors influence the willingness and intensity of regular mobile physical activity?— A machine learning analysis based on a sample of 290 cities in China H. Shen et al. 10.3389/fpubh.2025.1511129
15. Reliability and consistency assessment of land cover products at macro and local scales in typical cities W. Shi et al. 10.1080/17538947.2023.2181992
16. Economic costs of invasive non-native species in urban areas: An underexplored financial drain G. Heringer et al. 10.1016/j.scitotenv.2024.170336
17. U-Surf: a global 1 km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling Y. Cheng et al. 10.5194/essd-17-2147-2025
18. Understanding archetypal spatial gradient patterns in urban economic, population and air quality nexus: New insights from a geographic-process perspective P. Zhang et al. 10.1016/j.scs.2023.104596
19. Increased risk of flash droughts with raised concurrent hot and dry extremes under global warming Z. Zeng et al. 10.1038/s41612-023-00468-2
20. Atmospheric ammonia in China: Long-term spatiotemporal variation, urban-rural gradient, and influencing factors J. Dong et al. 10.1016/j.scitotenv.2023.163733
21. Influence of urban extent discrepancy on the estimation of surface urban heat island intensity: A global-scale assessment in 892 cities Q. Yang et al. 10.1016/j.jclepro.2023.139032
22. SDGSAT-1 nighttime light data improve village-scale built-up delineation C. Li et al. 10.1016/j.rse.2023.113764
23. A global product of 150-m urban building height based on spaceborne lidar X. Ma et al. 10.1038/s41597-024-04237-5
24. Diversity in global urban sprawl patterns revealed by Zipfian dynamics X. Li et al. 10.1080/2150704X.2022.2073794
25. Modeling the intensity of surface urban heat island based on the impervious surface area Z. Shi et al. 10.1016/j.uclim.2023.101529
26. Impacts of climatic zones on urban heat island: Spatiotemporal variations, trends, and drivers in China from 2001–2020 X. Geng et al. 10.1016/j.scs.2022.104303
27. Spatial-temporal patterns of urban expansion by land use/ land cover transfer in China C. Wang et al. 10.1016/j.ecolind.2023.111009
28. GRACE/ML-based analysis of the spatiotemporal variations of groundwater storage in Africa K. Ding et al. 10.1016/j.jhydrol.2024.132336
29. Influence of urbanisation on the phenology of evergreen coniferous and deciduous broadleaf trees in Madrid (Spain) J. Galán Díaz et al. 10.1016/j.landurbplan.2023.104760
30. A New Technique for Urban and Rural Settlement Boundary Extraction Based on Spectral–Topographic–Radar Polarization Features and Its Application in Xining, China X. Li et al. 10.3390/rs16061091
31. Temporal—Spatial Changes in Vegetation Coverage under Climate Change and Human Activities: A Case Study of Central Yunnan Urban Agglomeration, China Y. Li et al. 10.3390/su16020661
32. A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data L. Jiang et al. 10.1080/15481603.2024.2383461
33. Assessment of lake area in response to climate change at varying elevations: A case study of Mt. Tianshan, Central Asia Y. Zhang et al. 10.1016/j.scitotenv.2023.161665
34. Exacerbated anthropogenic water pollution under climate change and urbanization W. Yang et al. 10.1016/j.watres.2025.123449
35. Near-real time analysis of war and economic activity during Russia’s invasion of Ukraine Y. Zhukov 10.1016/j.jce.2023.06.003
36. Biodiversity in residential gardens: a review of the evidence base R. Delahay et al. 10.1007/s10531-023-02694-9
37. Trapped Urban Phosphorus: An Overlooked and Inaccessible Stock in the Anthropogenic Phosphorus Cycle X. Chen et al. 10.1021/acs.est.4c08078
38. Ground-Level NO2Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence J. Wei et al. 10.1021/acs.est.2c03834
39. Breaking the resource curse: The impact of digital economy on the sustainable transformation of resource-based cities J. Zhou et al. 10.1016/j.scs.2024.105707
40. Intensified exposure to compound extreme heat and ozone pollution in summer across Chinese cities J. Su et al. 10.1038/s41612-025-00966-5
41. Impacts of future urban expansion on natural habitats will intensify in China: scenario analysis with the improved LUSD-urban model W. Lu et al. 10.1007/s10980-023-01740-9
42. Evaluating night-time light sources and correlation with socio-economic development using high-resolution multi-spectral Jilin-1 satellite imagery of Quito, Ecuador C. Watson et al. 10.1080/01431161.2023.2205983
43. Do the urban polycentricity and dispersion affect multisectoral carbon dioxide emissions? A case study of 95 cities in southeast China based on nighttime light data Z. Chen et al. 10.1080/17538947.2023.2288151
44. Global urban and rural settlement dataset from 2000 to 2020 Z. Liu et al. 10.1038/s41597-024-04195-y
45. Comparing built-up area datasets to assess urban exposure to coastal hazards in Europe H. Bonatz et al. 10.1038/s41597-024-03339-4
46. Synergies or trade-offs between surface urban heat island and hot extreme: Distinct responses in urban environments C. Yang & S. Zhao 10.1016/j.scs.2023.105093
47. Diagnosing ozone–NOx–VOC–aerosol sensitivity and uncovering causes of urban–nonurban discrepancies in Shandong, China, using transformer-based estimations C. Tao et al. 10.5194/acp-24-4177-2024
48. Evaluation of impervious surface extraction based on Qimingxing-1 nighttime light and point of interest data S. Qiu et al. 10.1080/17538947.2024.2430680
49. Quantifying urban expansion from 1985 to 2018 in large cities worldwide C. Huang & N. Xu 10.1080/10106049.2022.2142957
50. A global urban heat island intensity dataset: Generation, comparison, and analysis Q. Yang et al. 10.1016/j.rse.2024.114343
51. Two-decade surface ozone (O3) pollution in China: Enhanced fine-scale estimations and environmental health implications Z. Yang et al. 10.1016/j.rse.2024.114459
52. The Relative Timing of Population Growth and Land Use Change—A Case Study of North Taiwan from 1990 to 2015 H. Shih et al. 10.3390/land11122204
53. Assessment of Summer Regional Outdoor Heat Stress and Regional Comfort in the Beijing‐Tianjin‐Hebei Agglomeration Over the Last 40 Years J. Huang et al. 10.1029/2022GH000725
54. City-level resilience to extreme weather shocks revealed by satellite nighttime lights in China L. Hu et al. 10.1016/j.scs.2023.105167
55. Impacts of urban air temperature and humidity on building cooling and heating energy demand in 15 cities of eastern China X. Yang et al. 10.1016/j.energy.2023.129887
56. Multi-Dimensional Analysis of Urban Growth Characteristics Integrating Remote Sensing Data: A Case Study of the Beijing–Tianjin–Hebei Region Y. Zhou & Y. Zhao 10.3390/rs17030548
57. Remote sensing-based morphological analysis of core city growth across the globe M. Jin et al. 10.1016/j.cities.2022.103982
58. Spatiotemporal Footprints of Surface Urban Heat Islands in the Urban Agglomeration of Yangtze River Delta During 2000–2022 Y. Du et al. 10.3390/rs17050892
59. Spatiotemporal Heterogeneity of Urban Land Expansion and Urban Population Growth under New Urbanization: A Case Study of Chongqing Y. Zhang et al. 10.3390/ijerph19137792
60. Changes in light pollution in the Pan-Third Pole's protected areas from 1992 to 2021 Z. Yan & M. Tan 10.1016/j.ecoinf.2023.102016
61. Heat Island dynamics and heat stress implications on the population of El-Mansourah conurbation, Egypt: temporal and proposed solutions using MODIS imagery and ENVI-met simulation I. Hamdi et al. 10.1080/19475705.2023.2291328
62. Multi-city assessments of human exposure to extreme heat during heat waves in the United States J. Hu et al. 10.1016/j.rse.2023.113700
63. Spatiotemporal heterogeneity in global urban surface warming S. Ge et al. 10.1016/j.rse.2024.114081
64. The characteristics and drivers of China’s city-level urban-rural activity sectors’ carbon intensity gap during urban land expansion M. Gao et al. 10.1016/j.enpol.2023.113725
65. Morphology changes and the expansion of major port cities in the Philippines from 1990 to 2020 J. Yan et al. 10.1016/j.cities.2024.104818
66. Downscaling of nighttime light imagery with a spatially local estimation model using human activity-physical features B. Guo et al. 10.1016/j.jag.2024.103924
67. SAR Temporal Shifting: A New Approach for Optical-to-SAR Translation with Consistent Viewing Geometry M. Rangzan et al. 10.3390/rs16162957
68. The phenological response of European vegetation to urbanisation is mediated by macrobioclimatic factors J. Galán Díaz et al. 10.1016/j.scitotenv.2023.167092
69. Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al. 10.5194/essd-16-2007-2024
70. A New Urban Built-Up Index and Its Application in National Central Cities of China L. Wang et al. 10.3390/ijgi13010021
71. A new method for evaluating the coordinated relationship between vegetation greenness and urbanization H. Wang et al. 10.1038/s41598-025-89701-x
72. Physical Urban Area Identification Based on Geographical Data and Quantitative Attribution of Identification Threshold: A Case Study in Chongqing Municipality, Southwestern China D. Wang et al. 10.3390/land12010030
73. Two decades of land subsidence in Kolkata, India revealed by InSAR and GPS measurements: implications for groundwater management and seismic hazard assessment A. Shastri et al. 10.1007/s11069-023-06107-6
74. A global assessment of nitrogen and phosphorus generated in the waste streams of domesticated cats and dogs N. Cowan et al. 10.1080/27658511.2024.2415181
75. General air temperature and humidity features of local climate zones: A multi-city observational study in eastern China X. Yang et al. 10.1016/j.uclim.2023.101652
76. Mapping and evaluating global urban entities (2000–2020): A novel perspective to delineate urban entities based on consistent nighttime light data K. Shi et al. 10.1080/15481603.2022.2161199
77. Land use and cover in subtropical East Asia and Southeast Asia from 1700 to 2018 F. Mao et al. 10.1016/j.gloplacha.2023.104157
78. A meta-analysis for the nighttime light remote sensing data applied in urban research: Key topics, hotspot study areas and new trends B. Dong et al. 10.1016/j.srs.2024.100186
79. Fusing remote and social sensing data for flood impact mapping Z. Akhtar et al. 10.1002/aaai.12196
80. The polycentricity of urban population will lead to improvements in urban heat island effect: Evidence from the Yangtze river delta in China C. Wang et al. 10.1016/j.sftr.2025.100510
81. Satellite-Based Discrimination of Urban Dynamics-Induced Local Bias from Day/Night Temperature Trends across the Nile Delta, Egypt: A Basis for Climate Change Impacts Assessment W. Abbas & I. Hamdi 10.3390/su142114510
82. High-resolution circa-2020 map of urban lakes in China C. Song et al. 10.1038/s41597-022-01874-6
83. Assessing vegetation dynamics and human impacts in natural and urban areas of China: Insights from remote sensing data Y. Zou et al. 10.1016/j.jenvman.2024.123632
84. The SESAME Human-Earth Atlas A. Faisal et al. 10.1038/s41597-025-05087-5
85. The Multi-Scale Spatial Heterogeneity of Ecosystem Services’ Supply–Demand Matching and Its Influencing Factors on Urban Green Space in China W. Zhao et al. 10.3390/f14102091
86. Energy and social factor decomposition to identify drivers impeding sustainable environmental transition in emerging countries: SDGs-2030 progress assessment using LMDI analysis Q. Gao et al. 10.1007/s11356-024-32529-1
87. Impact-based probabilistic modeling of hydro-morphological processes in China (1985–2015) N. Wang et al. 10.1016/j.jenvman.2023.118463
88. Spatiotemporal evolution of urbanization and its implications to urban planning of the megacity, Shanghai, China C. Wu et al. 10.1007/s10980-022-01578-7
89. Toward park design optimization to mitigate the urban heat Island: Assessment of the cooling effect in five U.S. cities Z. Gao et al. 10.1016/j.scs.2022.103870
90. Spatial-temporal variations of groundwater storage in China: A multiscale analysis based on GRACE data K. Zhao et al. 10.1016/j.resconrec.2023.107088
91. A global estimate of monthly vegetation and soil fractions from spatiotemporally adaptive spectral mixture analysis during 2001–2022 Q. Sun et al. 10.5194/essd-16-1333-2024
92. Urbanization Heat Flux Modeling Confirms It Is a Likely Cause of Significant Global Warming: Urbanization Mitigation Requirements A. Feinberg 10.3390/land12061222
93. The Global Land Surface Temperature Change in the 21st Century—A Satellite Remote Sensing Based Assessment L. Lin et al. 10.1109/JSTARS.2023.3338980
94. Are soils forming on buildings indicators of pollution in the city? A case study from Lublin (Eastern Poland) T. Szafran et al. 10.14746/quageo-2025-0001
95. Statistical Distribution of Urban Area Reveals a Converging Trend of Global Urban Land Expansion S. Hu et al. 10.1029/2024EF005130
96. A global dataset of annual urban extents (1992–2020) from harmonized nighttime lights M. Zhao et al. 10.5194/essd-14-517-2022
97. The Potential of 3-D Building Height Data to Characterize Socioeconomic Activities: A Case Study from 38 Cities in China G. Yu et al. 10.3390/rs14092087