13 citations as recorded by crossref.

1. Full-coverage estimation of CO2 concentrations in China via multisource satellite data and Deep Forest model K. Cai et al. 10.1038/s41597-024-04063-9
2. Local-Global Temporal Difference Learning for Satellite Video Super-Resolution Y. Xiao et al. 10.1109/TCSVT.2023.3312321
3. Estimating high spatio-temporal resolution XCO2 using spatial features deep fusion model L. Cui et al. 10.1016/j.atmosres.2024.107542
4. Integrated Analysis of Solar-Induced Chlorophyll Fluorescence, Normalized Difference Vegetation Index, and Column-Average CO2 Concentration in South-Central Brazilian Sugarcane Regions K. de Meneses et al. 10.3390/agronomy14102345
5. NDAMA: A Novel Deep Autoencoder and Multivariate Analysis Approach for IoT-Based Methane Gas Leakage Detection K. Dashdondov et al. 10.1109/ACCESS.2023.3340240
6. Reconstructing global daily XCO2 at 1° × 1° spatial resolution from 2016 to 2019 with multisource satellite observation data Y. Huang et al. 10.1117/1.JRS.18.028502
7. Estimation of daily XCO2 at 1 km resolution in China using a spatiotemporal ResNet model C. Wu et al. 10.1016/j.scitotenv.2024.176171
8. Mapping high-resolution XCO2 concentrations in China from 2015 to 2020 based on spatiotemporal ensemble learning model W. Liu et al. 10.1016/j.ecoinf.2024.102806
9. Development of a Multi-Source Satellite Fusion Method for XCH4 Product Generation in Oil and Gas Production Areas L. Fan et al. 10.3390/app142311100
10. Spatiotemporal investigation of near-surface CH4 and factors influencing CH4 over South, East, and Southeast Asia M. Khaliq et al. 10.1016/j.scitotenv.2024.171311
11. Seamless reconstruction and spatiotemporal analysis of satellite-based XCO2 incorporating temporal characteristics: A case study in China during 2015–2020 J. He et al. 10.1016/j.asr.2024.07.007
12. Using Multisource Data and Time Series Features to Construct a Global Terrestrial CO₂ Coverage by Deep Learning W. Tian et al. 10.1109/TGRS.2024.3462589
13. Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al. 10.1029/2023JD038841