156 citations as recorded by crossref.

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6. Drivers of the water use efficiency changes in China during 1982–2015 H. Sun et al. 10.1016/j.scitotenv.2021.149145
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9. Microphysics-based black carbon aging in a global CTM: constraints from HIPPO observations and implications for global black carbon budget C. He et al. 10.5194/acp-16-3077-2016
10. Anthropogenic Methane Emission and Its Partitioning for the Yangtze River Delta Region of China C. Hu et al. 10.1029/2018JG004850
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12. Neural-network-based estimation of regional-scale anthropogenic CO2 emissions using an Orbiting Carbon Observatory-2 (OCO-2) dataset over East and West Asia F. Mustafa et al. 10.5194/amt-14-7277-2021
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15. Transboundary ozone pollution across East Asia: daily evolution and photochemical production analysed by IASI + GOME2 multispectral satellite observations and models J. Cuesta et al. 10.5194/acp-18-9499-2018
16. Long‐Term Variability of Fog in Poland O. Zawadzka‐Manko & K. Markowicz 10.1002/joc.8784
17. Estimating CO2 emissions for 108 000 European cities D. Moran et al. 10.5194/essd-14-845-2022
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20. Quantification of Global Primary Emissions of PM2.5, PM10, and TSP from Combustion and Industrial Process Sources Y. Huang et al. 10.1021/es503696k
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22. Comparison of carbonaceous particulate matter emission factors among different solid fuels burned in residential stoves G. Shen et al. 10.1016/j.atmosenv.2014.01.033
23. Iron and Steel Industry Emissions: A Global Analysis of Trends and Drivers J. Zhang et al. 10.1021/acs.est.3c05474
24. The Direct Radiative Forcing Impact of Agriculture‐Emitted Black Carbon Associated With India's Green Revolution X. Liu et al. 10.1029/2021EF001975
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27. Global greenhouse gas emissions from animal-based foods are twice those of plant-based foods X. Xu et al. 10.1038/s43016-021-00358-x
28. Enhance seasonal amplitude of atmospheric CO 2 by the changing Southern Ocean carbon sink J. Yun et al. 10.1126/sciadv.abq0220
29. China high resolution emission database (CHRED) with point emission sources, gridded emission data, and supplementary socioeconomic data B. Cai et al. 10.1016/j.resconrec.2017.10.036
30. Global Mercury Emissions from Combustion in Light of International Fuel Trading Y. Chen et al. 10.1021/es404110f
31. Estimation of fossil-fuel CO2 emissions using satellite measurements of "proxy" species I. Konovalov et al. 10.5194/acp-16-13509-2016
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35. Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing K. Che et al. 10.1007/s00376-022-1247-7
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40. What would dense atmospheric observation networks bring to the quantification of city CO2 emissions? L. Wu et al. 10.5194/acp-16-7743-2016
41. A New High-Resolution N2O Emission Inventory for China in 2008 F. Zhou et al. 10.1021/es5018027
42. The Uncertainty of Nighttime Light Data in Estimating Carbon Dioxide Emissions in China: A Comparison between DMSP-OLS and NPP-VIIRS X. Zhang et al. 10.3390/rs9080797
43. Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite A. Shekhar et al. 10.1088/1748-9326/ab9cfe
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47. Global Sulfur Dioxide Emissions and the Driving Forces Q. Zhong et al. 10.1021/acs.est.9b07696
48. Long-lived atmospheric trace gases measurements in flask samples from three stations in India X. Lin et al. 10.5194/acp-15-9819-2015
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51. A city-level comparison of fossil-fuel and industry processes-induced CO2 emissions over the Beijing-Tianjin-Hebei region from eight emission inventories P. Han et al. 10.1186/s13021-020-00163-2
52. An improved gridded polycyclic aromatic hydrocarbon emission inventory for the lower reaches of the Yangtze River Delta region from 2001 to 2015 using satellite data B. Li et al. 10.1016/j.jhazmat.2018.08.011
53. Modeling fuel-, vehicle-type-, and age-specific CO2 emissions from global on-road vehicles in 1970–2020 L. Yan et al. 10.5194/essd-16-4497-2024
54. Mapping Building-Based Spatiotemporal Distributions of Carbon Dioxide Emission: A Case Study in England Y. Zheng et al. 10.3390/ijerph19105986
55. Global organic carbon emissions from primary sources from 1960 to 2009 Y. Huang et al. 10.1016/j.atmosenv.2015.10.017
56. Fire evolution in the radioactive forests of Ukraine and Belarus: future risks for the population and the environment N. Evangeliou et al. 10.1890/14-1227.1
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58. Attributed radiative forcing of air pollutants from biomass and fossil burning emissions K. Jiang et al. 10.1016/j.envpol.2022.119378
59. Concentrations and origins of nitro-polycyclic aromatic hydrocarbons and oxy-polycyclic aromatic hydrocarbons in ambient air in urban and rural areas in northern China W. Li et al. 10.1016/j.envpol.2014.12.019
60. Quantification of emission reduction potentials of primary air pollutants from residential solid fuel combustion by adopting cleaner fuels in China G. Shen 10.1016/j.jes.2015.04.018
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62. Spatiotemporal dynamics of energy-related CO2 emissions in China based on nighttime imagery and land use data W. Wei et al. 10.1016/j.ecolind.2021.108132
63. Atmospheric emissions of PCDDs and PCDFs in China from 1960 to 2014 Y. Huang et al. 10.1016/j.jhazmat.2021.127320
64. Province-level fossil fuel CO2 emission estimates for China based on seven inventories P. Han et al. 10.1016/j.jclepro.2020.123377
65. A Vector Map of Carbon Emission Based on Point-Line-Area Carbon Emission Classified Allocation Method H. Liu et al. 10.3390/su122310058
66. Cross-Inventory Uncertainty Analysis of Fossil Fuel CO2 Emissions for Prefecture-Level Cities in Shandong Province M. Tao et al. 10.3390/atmos13091474
67. Sensitivity of simulated CO2 concentration to sub-annual variations in fossil fuel CO2 emissions X. Zhang et al. 10.5194/acp-16-1907-2016
68. Spatial and Temporal Trends in Global Emissions of Nitrogen Oxides from 1960 to 2014 T. Huang et al. 10.1021/acs.est.7b02235
69. Dynamic Evolution and Covariant Response Mechanism of Volatile Organic Compounds and Residual Functional Groups during the Online Pyrolysis of Coal and Biomass Fuels F. Song et al. 10.1021/acs.est.1c08400
70. Gridded uncertainty in fossil fuel carbon dioxide emission maps, a CDIAC example R. Andres et al. 10.5194/acp-16-14979-2016
71. High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach R. Jia et al. 10.1016/j.eneco.2021.105271
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80. Potential of European 14CO2 observation network to estimate the fossil fuel CO2 emissions via atmospheric inversions Y. Wang et al. 10.5194/acp-18-4229-2018
81. Life cycle carbon footprint analysis of deep load regulation in coal-fired power plants based on machine learning: A case study of a 1000 MW unit in Hunan province X. Liu et al. 10.1016/j.csite.2025.105861
82. Fossil fuel CO2 emissions over metropolitan areas from space: A multi-model analysis of OCO-2 data over Lahore, Pakistan R. Lei et al. 10.1016/j.rse.2021.112625
83. Near-Real-Time Carbon Emission Accounting Technology Toward Carbon Neutrality Z. Liu et al. 10.1016/j.eng.2021.12.019
84. High-resolution inventory of technologies, activities, and emissions of coal-fired power plants in China from 1990 to 2010 F. Liu et al. 10.5194/acp-15-13299-2015
85. Trace Elements From Ocean‐Going Vessels in East Asia: Vanadium and Nickel Emissions and Their Impacts on Air Quality J. Zhao et al. 10.1029/2020JD033984
86. Declines in anthropogenic mercury emissions in the Global North and China offset by the Global South X. Qiu et al. 10.1038/s41467-025-56274-2
87. Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis G. Geng et al. 10.5194/acp-17-4131-2017
88. Anthropogenic carbon dioxide origin tracing study in Anmyeon-do, South Korea: Based on STILT-footprint and emissions data J. Kim et al. 10.1016/j.scitotenv.2023.164677
89. A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al. 10.1109/TGRS.2022.3176134
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92. Unintentional emissions of polychlorinated naphthalenes in China: Sources, composition, and historical trends Y. Huang et al. 10.1016/j.jes.2023.11.020
93. Refined estimate of China's CO2 emissions in spatiotemporal distributions M. Liu et al. 10.5194/acp-13-10873-2013
94. Analysis of anthropogenic CO2 emission uncertainty and influencing factors at city scale in Yangtze River Delta region: One of the world's largest emission hotspots H. Liu et al. 10.1016/j.apr.2024.102281
95. Empirical estimates of regional carbon budgets imply reduced global soil heterotrophic respiration P. Ciais et al. 10.1093/nsr/nwaa145
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