第一作者/通讯作者文章：
Liu M. et al., An integrated economic-ecological index based on satellite-derived carbon sequestration and carbon price: A case study during 2015–2020 in Shaanxi, China, Ecological Indicators, 2023,153, 110458. (SCI, JCR Q1, 中科院二区)
Liu M. et al., SIFNet: A self-attention interaction fusion network for multisource satellite imagery template matching. International Journal of Applied Earth Observation and Geoinformation, 2023, 118: 103247.(SCI, JCR Q1, 中科院一区) 获International Journal of Applied Earth Observation and Geoinformation 2023 Best Paper Award.
Liu M.* et al., How magnitude of PM2. 5 exposure disparities have evolved across Chinese urban-rural population during 2010–2019. Journal of Cleaner Production, 2023 382: 135333.(SCI, JCR Q1, 中科院一区)
Liu M. et al., Recent trends in premature mortality and health disparities attributable to ambient PM2.5 exposure in China: 2005–2017. Environmental Pollution, 2021: 116882.(SCI, JCR Q1, 中科院二区)
Liu M. et al., Size-differentiated patterns of exposure to submicron particulate matter across regions and seasons in China, Atmospheric Environment, 2020 238:117745.(SCI, JCR Q1, 中科院二区)
Liu M. et al., Quantifying PM2.5 mass concentration and particle radius using satellite data and an optical-mass conversion algorithm, ISPRS Journal of Photogrammetry and Remote Sensing, 2019 158: 90-98.(SCI, JCR Q1, 中科院一区)
Liu M. et al., Root mass ratio: index derived by assimilation of synthetic aperture radar and the improved World Food Study model for heavy metal stress monitoring in rice, Journal of Applied Remote Sensing, 2016, 10(2): 026038.(SCI, JCR Q4, 中科院四区)
Cao H., Han L., Liu M.* et al., Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm: A case study during 2015–2020 in Shaanxi, China, Journal of Environmental Sciences, 2023. (SCI, JCR Q1, 中科院二区)
Zhou G., Liu M.* et al., A Spatiotemporal fusion Transformer model for Chlorophyll-a concentrations prediction over large areas with satellite time series data. IEEE Transactions on Geoscience and Remote Sensing, 2024.
Zhou G., Chen J, Liu M.* et al., A spatiotemporal attention-augmented ConvLSTM model for ocean remote sensing reflectance prediction. International Journal of Applied Earth Observation and Geoinformation, 2024, 129: 103815. (SCI, JCR Q1, 中科院一区)
Zhou G., Liu M.* et al., A gap-filling method for satellite-derived chlorophyll-a time series based on neighborhood spatiotemporal information. International Journal of Applied Earth Observation and Geoinformation, 2024, 128: 103724. (SCI, JCR Q1, 中科院一区)
Zhou G., Liu M.* et al., An autoencoder-based model for forest disturbance detection using Landsat time series data. International Journal of Digital Earth, 2021, 14(9): 1087-1102.(SCI, JCR Q1, 中科院一区)
Liu M. et al., Spatiotemporal Disparity and Environmental Inequality in Fossil Fuel Carbon Emissions in China: 2010-2019, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023). IEEE, 2023: 2099-2102, Pasadena, USA, July 16 - July 21. (EI, 国际会议)
Liu M. et al., Changes of spatial disparities in satellite-derived PM2.5 exposures over 2010–2019 in China. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022, 3: 297-302, Nice, France, 11 Jun. 2022 (EI, 国际会议)
Liu M. et al., Long-term trend of ground-level PM2.5 concentrations over 2012-2017 in China, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 7842-7845, Yokohama, Japan, July 28 - Aug 2, 2019.(EI, 国际会议)
合作作者文章：
Chao Ding, Wenjiang Huang, Ming Liu, Shuang Zhao, Change in the elevational pattern of vegetation greenup date across the Tianshan Mountains in Central Asia during 2001–2020. Ecological Indicators, 2022 136: 108684.(SCI, JCR Q1, 中科院二区)
Gaoxiang Zhou, Xiangnan Liu*,Ming Liu, Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation. Remote Sensing, 2019, 11(3): 268.(SCI, JCR Q1, 中科院二区)
Gaoxiang Zhou, Xiangnan Liu*, Shuang Zhao,Ming Liu, Ling Wu, Estimating FAPAR of rice growth period using radiation transfer model coupled with the WOFOST model for analyzing heavy metal stress. Remote Sensing, 2017, 9(5): 424.(SCI, JCR Q1, 中科院二区)
Lingwen Tian, Xiangnan Liu*, Biyao Zhang, Ming Liu, Ling Wu, Extraction of rice heavy metal stress signal features based on long time series leaf area index data using ensemble empirical mode decomposition. International Journal of Environmental Research and Public Health, 2017, 14(9): 1018.(SCI, JCR Q2, 中科院三区)
Narges Fatholahi, Yue Gu, MingLiu, Lingfei Ma, Yiping Chen, Jonathan Li*, Estimating PM2.5 Concentrations in British Columbia, Canada During Wildfire Season Using Satellite Optical Data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 1: 71-79. (EI, 国际会议)
Gaoxiang Zhou, MingLiu, Xiangnan Liu*, Jonathan Li, Combination of Crop Growth Model and Radiation Transfer Model with Remote Sensing Data Assimilation for FAPAR Estimation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), 1882-1885, Valencia, Spain, July 22-27, 2018.(EI, 国际会议)
Mengge Chen, Yue Gu, MingLiu, Jonathan Li*, Estimating PM 2.5 in British Columbia Before and After Wildfires using 3 KM Modis AOD Products from February to August 2017. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), 7585-7588, Valencia, Spain, July 22-27, 2018. (EI, 国际会议)