151 citations as recorded by crossref.

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4. Measurement and source analysis of carbon-factor-biased technological progress in China Y. Zhang et al. https://doi.org/10.1016/j.jclepro.2026.147696
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6. Impact of carbon pricing on mitigation potential in Chinese agriculture: A model-based multi-scenario analysis at provincial scale Y. Deng et al. https://doi.org/10.1016/j.eiar.2023.107409
7. A Monte Carlo Method for Quantifying Uncertainties in the Official Greenhouse Gas Emission Factors Database of Costa Rica G. Molina-Castro https://doi.org/10.3389/fenvs.2022.896256
8. Enhancing the Feed Efficiency of Crop Residues in Ruminants – A Comprehensive Review M. Kamal et al. https://doi.org/10.2478/aoas-2024-0081
9. Global nitrous oxide budget (1980–2020) H. Tian et al. https://doi.org/10.5194/essd-16-2543-2024
10. India leads in emission intensity per GDP: Insights from the gridded emission inventory for residential, road transport, and energy sectors V. Velamuri et al. https://doi.org/10.1016/j.jes.2024.10.015
11. Global nitrous oxide emissions from livestock manure during 1890–2020: An IPCC tier 2 inventory L. Zhang et al. https://doi.org/10.1111/gcb.17303
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13. Controlled-release nitrogen in paddies: Bridging food security and carbon neutrality through carbon-nitrogen coupling Z. Chen et al. https://doi.org/10.1016/j.fcr.2025.110197
14. Observing CO2 emissions from global key coal-fired power plants based on Orbiting carbon Observatory-3 satellite and improved Gaussian plume model Z. Zhou et al. https://doi.org/10.1016/j.jclepro.2025.145945
15. Mapping PM2.5 Sources and Emission Management Options for Bishkek, Kyrgyzstan S. Guttikunda et al. https://doi.org/10.3390/air2040021
16. Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng https://doi.org/10.1016/j.oneear.2024.08.019
17. Investigating high methane emissions from urban areas detected by TROPOMI and their association with untreated wastewater B. de Foy et al. https://doi.org/10.1088/1748-9326/acc118
18. Assessing climate and air quality benefits of methane mitigation for U.S. landfills A. Folorunsho et al. https://doi.org/10.1016/j.jenvman.2026.128707
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20. Automation and decarbonization: the role of industrial robots in China W. Zhao & K. Liu https://doi.org/10.1080/17538963.2026.2632455
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22. Retrieving the Vertical Profile of Greenhouse Gas Using Fourier Transform Spectrometer (FTS) - Part II: Methane (CH4) M. Kim et al. https://doi.org/10.5572/KOSAE.2024.40.3.361
23. Tracking air pollution and CO2 emissions in 13,189 urban areas worldwide using large geospatial datasets S. Kim et al. https://doi.org/10.1038/s43247-025-02270-9
24. Study on carbon emission characteristics and its influencing factors of energy consumption in Sichuan Province, China Q. Li et al. https://doi.org/10.3389/fenvs.2024.1414730
25. Evaluation of atmospheric sulfur dioxide simulated with the EMAC (version 2.55) Chemistry–Climate Model using satellite and ground-based observations I. Makroum et al. https://doi.org/10.5194/gmd-19-447-2026
26. Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. https://doi.org/10.5194/acp-22-14547-2022
27. Multisource data fusion framework reveals multi-scale spatiotemporal dynamics of anthropogenic CO2 emissions in China S. Xu et al. https://doi.org/10.1016/j.jclepro.2026.147955
28. The HTAP_v3.2 emission mosaic: merging regional and global monthly emissions (2000–2020) to support air quality modelling and policies D. Guizzardi et al. https://doi.org/10.5194/essd-17-5915-2025
29. Efficacy of the CO Tracer Technique in Partitioning Biogenic and Anthropogenic Atmospheric CO2 Signals in the Humid Subtropical Eastern Highland Rim City of Cookeville, Tennessee W. Gichuhi & L. Gamage https://doi.org/10.3390/atmos14020208
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31. Vehicle Stock Numbers and Survival Functions for On-Road Exhaust Emissions Analysis in India: 1993–2018 S. Guttikunda https://doi.org/10.3390/su16156298
32. Carbon emission quantification and reduction in pavement use phase: A review L. Zhu et al. https://doi.org/10.1016/j.jtte.2023.09.004
33. Fugitive Emissions from Mobile Sources—Experimental Analysis in Buses Regulated by the Euro 5 Standard A. Caetano et al. https://doi.org/10.3390/atmos14040613
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38. Magnitude and seasonal variation of N2O and CH4 emissions over a mixed agriculture-urban region X. Tong et al. https://doi.org/10.1016/j.agrformet.2023.109433
39. Estimating CO2 emissions for 108 000 European cities D. Moran et al. https://doi.org/10.5194/essd-14-845-2022
40. An inter-comparison of inverse models for estimating European CH4 emissions E. Ioannidis et al. https://doi.org/10.5194/essd-18-167-2026
41. Mobile Measurement of CO2 and CH4 on Ring Roads and Expressways in Xi’an, China: Spatial Patterns and Influencing Factors F. Wei et al. https://doi.org/10.3390/atmos16121351
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47. The spatial impacts of the circular economy on carbon intensity - new evidence from the super-efficient SBM-DEA model P. Chen https://doi.org/10.1177/0958305X221125125
48. High-resolution inversion of urban methane emissions in the Chengdu–Chongqing economic circle using ground-based observations and a dynamic error Bayesian framework Z. Xia et al. https://doi.org/10.1016/j.jclepro.2026.148229
49. Mapping High-Resolution Carbon Emission Spatial Distribution Combined with Carbon Satellite and Muti-Source Data L. Cui et al. https://doi.org/10.3390/rs17173125
50. A comprehensive and synthetic dataset for global, regional, and national greenhouse gas emissions by sector 1970–2018 with an extension to 2019 J. Minx et al. https://doi.org/10.5194/essd-13-5213-2021
51. Trends in atmospheric methane concentrations since 1990 were driven and modified by anthropogenic emissions R. Skeie et al. https://doi.org/10.1038/s43247-023-00969-1
52. Heterogeneous drivers of decarbonization in the global power sector X. Peng et al. https://doi.org/10.1088/1748-9326/add9b1
53. Towards an integrated inventory of anthropogenic emissions for China Y. Zhang et al. https://doi.org/10.5194/gmd-19-217-2026
54. Air Pollution Monitoring, and Modelling: An Overview F. Tahir Bahadur et al. https://doi.org/10.1080/15275922.2023.2297437
55. A comprehensive inventory of China's methane emissions: Insights and changes from 2010 to 2020 Y. Shi et al. https://doi.org/10.1016/j.jclepro.2025.146089
56. Energy policy-making in the European Union between past and present S. Piano & A. Saltelli https://doi.org/10.1016/j.erss.2025.104296
57. Deriving regional and point source nitrogen oxides emissions in China from TROPOMI using the directional derivative approach with nonlinear chemical lifetime fitting L. Chen et al. https://doi.org/10.5194/essd-18-2749-2026
58. Climate change in a changing world: Socio-economic and technological transitions, regulatory frameworks and trends on global greenhouse gas emissions from EDGAR v.5.0 G. Oreggioni et al. https://doi.org/10.1016/j.gloenvcha.2021.102350
59. Implications of ozone transport on air quality in the Sichuan Basin, China Y. Zhang et al. https://doi.org/10.1007/s11356-024-33991-7
60. Review of methane emission source tracing methods in oilfield regions Y. Liu et al. https://doi.org/10.1016/j.jgsce.2025.205708
61. Identifying a Country’s Freight Transport-Intensive Economic Sectors and Their Logistics Emissions—Method Development and Exemplary Evaluation with Austria P. Miklautsch et al. https://doi.org/10.3390/su142215050
62. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. https://doi.org/10.5194/essd-15-1197-2023
63. Global warming will largely increase waste treatment CH4 emissions in Chinese megacities: insight from the first city-scale CH4 concentration observation network in Hangzhou, China C. Hu et al. https://doi.org/10.5194/acp-23-4501-2023
64. Mapping spatio-temporal changes of energy consumption-related NOx emissions at grid scale in the Pearl River Delta region using nighttime light data X. Li et al. https://doi.org/10.1016/j.sftr.2025.101535
65. Effects of Emission Variability on Atmospheric CO2 Concentrations in Mainland China W. Lu et al. https://doi.org/10.3390/rs17050814
66. Biomass burning contributions to Mexico City’s atmospheric CO2 estimated using a multi-isotope approach M. Villarreal-Brito et al. https://doi.org/10.1016/j.jes.2026.03.048
67. Assessing the methane mitigation potential of innovative management in US rice production C. Reavis et al. https://doi.org/10.1088/1748-9326/ad0925
68. Assessment of the Statistical Performance of Chemical Transport Model Studies in India R. Shandilya et al. https://doi.org/10.1021/acsestair.4c00072
69. Quantification of SO2 and CO2 emission rates from coal-fired power plants in the Korean peninsula via airborne measurements J. Kim et al. https://doi.org/10.1016/j.scitotenv.2025.179430
70. Carbon accounting and decarbonization pathways in road construction: a systematic review and research agenda H. Wang et al. https://doi.org/10.1016/j.rineng.2026.110711
71. Global patterns of daily CO2 emissions reductions in the first year of COVID-19 Z. Liu et al. https://doi.org/10.1038/s41561-022-00965-8
72. A global review of the state of the evidence of household air pollution's contribution to ambient fine particulate matter and their related health impacts S. Chowdhury et al. https://doi.org/10.1016/j.envint.2023.107835
73. Scenarios for Reducing Greenhouse Gas Emissions from Food Procurement for Public School Kitchens in Copenhagen A. Prag et al. https://doi.org/10.3390/su151713002
74. Regional estimation of methane emissions over the peninsular India using atmospheric inverse modelling A. Raju et al. https://doi.org/10.1007/s10661-022-10323-1
75. Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives H. Li et al. https://doi.org/10.1007/s11783-025-1922-x
76. Global Covenant of Mayors, a dataset of greenhouse gas emissions for 6200 cities in Europe and the Southern Mediterranean countries A. Kona et al. https://doi.org/10.5194/essd-13-3551-2021
77. Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements V. Kumar et al. https://doi.org/10.5194/amt-14-5241-2021
78. Impact of carbon charge policy on mode shifts in public transportation C. Zhao et al. https://doi.org/10.1016/j.trd.2024.104491
79. Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al. https://doi.org/10.3390/rs16234554
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82. A framework for gridded estimates of ammonia emissions from agriculture in South Asia S. Tomlinson et al. https://doi.org/10.5194/essd-18-2349-2026
83. Opinion: Coordinated development of emission inventories for climate forcers and air pollutants S. Smith et al. https://doi.org/10.5194/acp-22-13201-2022
84. Pollution-Carbon Synergy Significantly Enhances the Capability of Tracking Power Plants’ CO2 Emissions from Space D. Fan et al. https://doi.org/10.1021/acs.est.5c01100
85. A comparative analysis of EDGAR and UNFCCC GHG emissions inventories: insights on trends, methodology and data discrepancies M. Banja et al. https://doi.org/10.5194/essd-17-6461-2025
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89. A CO2–Δ14CO2 inversion setup for estimating European fossil CO2 emissions C. Gómez-Ortiz et al. https://doi.org/10.5194/acp-25-397-2025
90. Estimating global anthropogenic CO2 emissions through satellite observations J. He & B. Huang https://doi.org/10.1016/j.envres.2025.121767
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95. CH4 emissions from Northern Europe wetlands: compared data assimilation approaches G. Monteil et al. https://doi.org/10.5194/acp-25-14251-2025
96. Integrating land-use change into probabilistic forecasting and sensitivity analysis of urban greenhouse gas emissions W. Liu et al. https://doi.org/10.1007/s10668-026-07497-w
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114. Six years of continuous carbon isotope composition measurements of methane in Heidelberg (Germany) – a study of source contributions and comparison to emission inventories A. Hoheisel & M. Schmidt https://doi.org/10.5194/acp-24-2951-2024
115. Identifying Major CO2 and CH4 Emission Sources with the STILT Model in the Seoul Metropolitan Area During Winter 2024, Including the ASIA-AQ Campaign H. Choi et al. https://doi.org/10.1007/s13143-025-00428-1
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118. Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. https://doi.org/10.5194/essd-16-4325-2024
119. Mapping Building-Level Monthly CO2 Emissions of Different Functions: A Case Study of England Y. Zeng et al. https://doi.org/10.3390/rs18091344
120. Continuous atmospheric in-situ measurements of the CH4/CO ratio at the Mt. Cimone station (Italy, 2165 m a.s.l.) and their possible use for estimating regional CH4 emissions C. Fratticioli et al. https://doi.org/10.1016/j.envres.2023.116343
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124. Implications of a Climate-Smart Approach to Food and Income Security for Urban Sub-Saharan Africa: A Systematic Review N. Khumalo et al. https://doi.org/10.3390/su16051882
125. What to consider when considering climate effects of hydrogen – Towards an assessment framework M. Sandstad et al. https://doi.org/10.1016/j.ijhydene.2025.06.055
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129. Quantification of CH4 emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI Q. Tu et al. https://doi.org/10.5194/acp-22-295-2022
130. Environmental Policy vs. the Reality of Greenhouse Gas Emissions from Top Emitting Countries N. Portillo Juan et al. https://doi.org/10.3390/en17225705
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134. Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions M. Tenkanen et al. https://doi.org/10.3390/rs16010124
135. A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods X. Li et al. https://doi.org/10.3390/rs17183152
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137. Review of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminants E. Kimei et al. https://doi.org/10.3390/su16052219
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142. A Comprehensive Analysis of Interflight Variability in Carbon Dioxide Emissions from Global Aviation Y. Han et al. https://doi.org/10.1021/acs.est.5c02371
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151. Forward and Inverse Modelling of Atmospheric Nitrous Oxide Using MIROC4-Atmospheric Chemistry-Transport Model P. PATRA et al. https://doi.org/10.2151/jmsj.2022-018