76 citations as recorded by crossref.

1. Anthropogenic emission inventories in China: a review M. Li et al. 10.1093/nsr/nwx150
2. Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions B. Zheng et al. 10.5194/acp-18-14095-2018
3. Constraining emission estimates of carbon monoxide using a perturbed emissions ensemble with observations: a focus on Beijing L. Yuan et al. 10.1007/s11869-021-01041-7
4. 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
5. Temporal and spatial differences in carbon emissions in the Pearl River Delta based on multi-resolution emission inventory modeling Q. Xu et al. 10.1016/j.jclepro.2018.12.280
6. Changes in China's anthropogenic emissions and air quality during the COVID-19 pandemic in 2020 B. Zheng et al. 10.5194/essd-13-2895-2021
7. New Method for Improving Spatial Allocation Accuracy of Industrial Energy Consumption and Implications for Polycyclic Aromatic Hydrocarbon Emissions in China B. Li et al. 10.1021/acs.est.8b06915
8. Comparison and evaluation of anthropogenic emissions of SO<sub>2</sub> and NO<sub><i>x</i></sub> over China M. Li et al. 10.5194/acp-18-3433-2018
9. How does upgrading an emissions inventory affect air quality simulations? M. Russo et al. 10.1007/s11869-019-00692-x
10. Development of a unit-based industrial emission inventory in the Beijing–Tianjin–Hebei region and resulting improvement in air quality modeling H. Zheng et al. 10.5194/acp-19-3447-2019
11. Emission of primary microplastics in mainland China: Invisible but not negligible T. Wang et al. 10.1016/j.watres.2019.06.042
12. Dynamic harmonization of source-oriented and receptor models for source apportionment X. Zhang et al. 10.1016/j.scitotenv.2022.160312
13. Emission inventory of air pollutants and chemical speciation for specific anthropogenic sources based on local measurements in the Yangtze River Delta region, China J. An et al. 10.5194/acp-21-2003-2021
14. Spatial inter-comparison of Top-down emission inventories in European urban areas M. Trombetti et al. 10.1016/j.atmosenv.2017.10.032
15. Dominant role of emission reduction in PM<sub>2.5</sub> air quality improvement in Beijing during 2013–2017: a model-based decomposition analysis J. Cheng et al. 10.5194/acp-19-6125-2019
16. Spatio-Temporal Variations of Multiple Primary Air Pollutants Emissions in Beijing of China, 2006–2015 Y. Xue et al. 10.3390/atmos10090494
17. Impact of the ‘13th Five-Year Plan’ Policy on Air Quality in Pearl River Delta, China: A Case Study of Haizhu District in Guangzhou City Using WRF-Chem J. Zhan et al. 10.3390/app10155276
18. Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic B. Zheng et al. 10.1126/sciadv.abd4998
19. Province-level fossil fuel CO2 emission estimates for China based on seven inventories P. Han et al. 10.1016/j.jclepro.2020.123377
20. Towards reducing inter-city economic inequality embedded in China’s environmental protection tax law J. Wang et al. 10.1088/1748-9326/ac34bd
21. Inverse modeling of SO<sub>2</sub> and NO<sub><i>x</i></sub> emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts Y. Wang et al. 10.5194/acp-20-6651-2020
22. Meteorological and anthropogenic drivers of surface ozone change in the North China Plain in 2015–2021 M. Wang et al. 10.1016/j.scitotenv.2023.167763
23. Nitrogen isotopes suggest agricultural and non-agricultural sources contribute equally to NH3 and NH4+ in urban Beijing during December 2018 N. Bhattarai et al. 10.1016/j.envpol.2023.121455
24. A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling N. Charkovska et al. 10.1007/s11027-018-9836-6
25. Aerosol vertical mass flux measurements during heavy aerosol pollution episodes at a rural site and an urban site in the Beijing area of the North China Plain R. Yuan et al. 10.5194/acp-19-12857-2019
26. Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017 Y. Xu et al. 10.1016/j.atmosenv.2019.117215
27. Rapid O3 assimilations – Part 2: Tropospheric O3 changes accompanied by declining NOx emissions in the USA and Europe in 2005–2020 R. Zhu et al. 10.5194/acp-23-9745-2023
28. City-scale analysis of annual ambient PM2.5 source contributions with the InMAP reduced-complexity air quality model: a case study of Madison, Wisconsin C. Jackson et al. 10.1088/2634-4505/acb0fa
29. A high temporal-spatial resolution air pollutant emission inventory for agricultural machinery in China J. Lang et al. 10.1016/j.jclepro.2018.02.120
30. Air quality and health benefits from ultra-low emission control policy indicated by continuous emission monitoring: a case study in the Yangtze River Delta region, China Y. Zhang et al. 10.5194/acp-21-6411-2021
31. The Importance of Spatial Resolution in the Modeling of Methane Emissions from Natural Wetlands Y. Albuhaisi et al. 10.3390/rs15112840
32. Lagrangian inversion of anthropogenic CO2 emissions from Beijing using differential column measurements K. Che et al. 10.1088/1748-9326/ac7477
33. Improving NOx emission estimates in Beijing using network observations and a perturbed emissions ensemble L. Yuan et al. 10.5194/acp-22-8617-2022
34. Coupling population dynamics with earth system models: the POPEM model A. Navarro et al. 10.1007/s11356-017-0127-7
35. Evaluating the methods and influencing factors of satellite-derived estimates of NOX emissions at regional scale: A case study for Yangtze River Delta, China Y. Yang et al. 10.1016/j.atmosenv.2019.117051
36. Improved spatial representation of a highly resolved emission inventory in China: evidence from TROPOMI measurements N. Wu et al. 10.1088/1748-9326/ac175f
37. A big data approach to improving the vehicle emission inventory in China F. Deng et al. 10.1038/s41467-020-16579-w
38. High-resolution regional emission inventory contributes to the evaluation of policy effectiveness: a case study in Jiangsu Province, China C. Gu et al. 10.5194/acp-23-4247-2023
39. Measurements of traffic-dominated pollutant emissions in a Chinese megacity F. Squires et al. 10.5194/acp-20-8737-2020
40. Air pollution emission inventory using national high-resolution spatial parameters for the Nordic countries and analysis of PM2.5 spatial distribution for road transport and machinery and off-road sectors V. Paunu et al. 10.5194/essd-16-1453-2024
41. Improving spatial surrogates for area source emissions inventories in California Y. Li et al. 10.1016/j.atmosenv.2020.117665
42. Regional Policies Targeting Residential Solid Fuel and Agricultural Emissions Can Improve Air Quality and Public Health in the Greater Bay Area and Across China L. Conibear et al. 10.1029/2020GH000341
43. A high-resolution air pollutants emission inventory in 2013 for the Beijing-Tianjin-Hebei region, China J. Qi et al. 10.1016/j.atmosenv.2017.09.039
44. 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
45. NO<sub><i>x</i></sub> emission trends over Chinese cities estimated from OMI observations during 2005 to 2015 F. Liu et al. 10.5194/acp-17-9261-2017
46. Exploring sources of uncertainty in premature mortality estimates from fine particulate matter: the case of China P. Giani et al. 10.1088/1748-9326/ab7f0f
47. Identifying hotspots based on high-resolution emission inventory of volatile organic compounds: A case study in China X. Liu et al. 10.1016/j.jenvman.2021.112419
48. Direct measurements of black carbon fluxes in central Beijing using the eddy covariance method R. Joshi et al. 10.5194/acp-21-147-2021
49. Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China Using Machine Learning Emulation L. Conibear et al. 10.1029/2021GH000570
50. Co-effect assessment on regional air quality: A perspective of policies and measures with greenhouse gas reduction potential W. Chen et al. 10.1016/j.scitotenv.2022.158119
51. How to distinguish dwellings taking into account the information about supply from the district heating system? CO2 emission inventory in the Silesia, Poland D. Zasina & J. Zawadzki 10.1080/17583004.2018.1537515
52. The effect of recent controls on emissions and aerosol pollution at city scale: A case study for Nanjing, China Y. Zhao et al. 10.1016/j.atmosenv.2020.118080
53. First High-Resolution Emission Inventory of Levoglucosan for Biomass Burning and Non-Biomass Burning Sources in China J. Wu et al. 10.1021/acs.est.0c06675
54. Updating emission inventories for vehicular organic gases: Indications from cold-start and temperature effects on advanced technology cars Z. Zhang et al. 10.1016/j.scitotenv.2023.163544
55. Observing carbon dioxide emissions over China's cities and industrial areas with the Orbiting Carbon Observatory-2 B. Zheng et al. 10.5194/acp-20-8501-2020
56. High-resolution (0.05°  ×  0.05°) NO<sub><i>x</i></sub> emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
57. Update of SO2 emission inventory in the Megacity of Chongqing, China by inverse modeling X. Feng et al. 10.1016/j.atmosenv.2022.119519
58. Spatial distribution of residential wood combustion emissions in the Nordic countries: How well national inventories represent local emissions? V. Paunu et al. 10.1016/j.atmosenv.2021.118712
59. A novel method for spatial allocation of volatile chemical products emissions: A case study of the Pearl River Delta Z. Cai et al. 10.1016/j.atmosenv.2023.120119
60. Street-scale air quality modelling for Beijing during a winter 2016 measurement campaign M. Biggart et al. 10.5194/acp-20-2755-2020
61. Evaluation of modeling NO<sub>2</sub> concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. 10.5194/acp-18-4171-2018
62. Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. 10.1021/acs.est.1c07723
63. Evaluating China's fossil-fuel CO<sub>2</sub> emissions from a comprehensive dataset of nine inventories P. Han et al. 10.5194/acp-20-11371-2020
64. Development of a high-resolution integrated emission inventory of air pollutants for China N. Wu et al. 10.5194/essd-16-2893-2024
65. A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application S. Feng et al. 10.5194/gmd-16-5949-2023
66. Statistical Emulation of Winter Ambient Fine Particulate Matter Concentrations From Emission Changes in China L. Conibear et al. 10.1029/2021GH000391
67. Comparison of Current and Future PM2.5 Air Quality in China Under CMIP6 and DPEC Emission Scenarios J. Cheng et al. 10.1029/2021GL093197
68. A two-way coupled regional urban–street network air quality model system for Beijing, China T. Wang et al. 10.5194/gmd-16-5585-2023
69. Development of water basin pollution emission inventory: a preliminary literature review and Its implication for China S. Zhao et al. 10.2166/aqua.2020.071
70. Optimized environmental justice calculations for air pollution disparities in Southern California Y. Li et al. 10.1016/j.heliyon.2022.e10732
71. Mapping anthropogenic emissions in China at 1 km spatial resolution and its application in air quality modeling B. Zheng et al. 10.1016/j.scib.2020.12.008
72. A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification T. Ju et al. 10.1007/s11783-023-1608-1
73. Downscaling global anthropogenic emissions for high-resolution urban air quality studies V. Valencia et al. 10.1016/j.apr.2022.101516
74. Surface–atmosphere fluxes of volatile organic compounds in Beijing W. Acton et al. 10.5194/acp-20-15101-2020
75. An Observational Constraint of VOC Emissions for Air Quality Modeling Study in the Pearl River Delta Region B. Zhou et al. 10.1029/2022JD038122
76. Data‐ and Model‐Based Urban O3 Responses to NOx Changes in China and the United States X. Chen et al. 10.1029/2022JD038228