114 citations as recorded by crossref.

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7. Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. https://doi.org/10.5194/amt-16-581-2023
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22. Influence of natural and anthropogenic aerosols on cloud base droplet size distributions in clouds over the South China Sea and West Pacific R. Miller et al. https://doi.org/10.5194/acp-23-8959-2023
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47. Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2 Q. Zhang et al. https://doi.org/10.5194/acp-23-551-2023
48. Tracing CO2 emissions across megacity landscapes: beyond citywide totals to structural heterogeneity and mitigation Y. Zhu et al. https://doi.org/10.1016/j.ese.2025.100602
49. Can a regional-scale reduction of atmospheric CO2 during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO2 retrievals M. Buchwitz et al. https://doi.org/10.5194/amt-14-2141-2021
50. China’s net-zero budget Z. Liu et al. https://doi.org/10.1038/s43017-026-00791-1
51. Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier https://doi.org/10.5194/amt-17-5373-2024
52. Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories Y. Hu & Y. Shi https://doi.org/10.3390/atmos12070811
53. Robust algorithm for precise XCO2 retrieval using single observation of IPDA LIDAR H. Zhang et al. https://doi.org/10.1364/OE.482629
54. A Method for Assessing Background Concentrations near Sources of Strong CO2 Emissions Q. Sun et al. https://doi.org/10.3390/atmos14020200
55. Estimation of high-resolution emissions using functionally-filtered nighttime lights in monocentric and polycentric cities: Fusion of remotely sensed human activities and social media data for carbon neutral settlements H. Lu et al. https://doi.org/10.1016/j.apenergy.2025.126562
56. Monitoring and quantifying CO2emissions of isolated power plants from space X. Lin et al. https://doi.org/10.5194/acp-23-6599-2023
57. Deep Learning Methods for Inferring Industrial CO2 Hotspots from Co-Emitted NO2 Plumes E. Sun et al. https://doi.org/10.3390/rs17071167
58. First global XCO2 observations from spaceborne lidar: methodology and initial result G. Han et al. https://doi.org/10.1016/j.rse.2025.114954
59. 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
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62. Using Orbiting Carbon Observatory-2 (OCO-2) column CO2 retrievals to rapidly detect and estimate biospheric surface carbon flux anomalies A. Feldman et al. https://doi.org/10.5194/acp-23-1545-2023
63. Government environmental control measures on CO2 emission during the 2014 Youth Olympic Games in Nanjing: Perspectives from a top-down approach C. Hu et al. https://doi.org/10.1016/j.jes.2021.04.016
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67. Quantifying CO2 Emissions of Power Plants With CO2 and NO2 Imaging Satellites G. Kuhlmann et al. https://doi.org/10.3389/frsen.2021.689838
68. Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic B. Zheng et al. https://doi.org/10.1126/sciadv.abd4998
69. An Effective Quantification of Methane Point-Source Emissions with the Multi-Level Matched Filter from Hyperspectral Imagery M. Liang et al. https://doi.org/10.3390/rs17050843
70. The role of satellite remote sensing in mitigating and adapting to global climate change S. Zhao et al. https://doi.org/10.1016/j.scitotenv.2023.166820
71. Comparing sources of uncertainty in community greenhouse gas estimation techniques M. Blackhurst & H. Matthews https://doi.org/10.1088/1748-9326/ac6084
72. XCO2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. https://doi.org/10.5194/amt-14-3837-2021
73. Spaceborne detection of XCO2 enhancement induced by Australian mega-bushfires J. Wang et al. https://doi.org/10.1088/1748-9326/abc846
74. Fossil fuel CO2 emissions over metropolitan areas from space: A multi-model analysis of OCO-2 data over Lahore, Pakistan R. Lei et al. https://doi.org/10.1016/j.rse.2021.112625
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