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以第一/通讯作者发表论文21篇,含中科院1区/TOP和JGR系列期刊论文17篇；
[1]Xie, X., et al. Divergent Ecological Restoration Driven by Afforestation Along the North and South Banks of the Yarlung Zangbo Middle Reach.Land Degradation & Development, 2025, 36 (2)
[2]Wang, J., Wang, Y.,Xie, X.*, Zhao, W., Wu, C., Guan, X., & Yang, T. (2024). Climate-Induced Uncertainty in Modeling Gross Primary Productivity From the Light Use Efficiency Approach. Journal of Geophysical Research: Biogeosciences, 129, e2024JG008394
[3]Xie, X., et al. TAVIs: Topographically adjusted vegetation index for a reliable proxy of gross primary productivity in mountain ecosystems.IEEE Transactions on Geoscience and Remote Sensing, 2023, 64 (2)
[4]Xie, X., et al. A Practical Algorithm for Correcting Topographical Effects on Global GPP Products.Journal of Geophysical Research: Biogeosciences, 2023. 128(8).
[5]Xie, X., et al. How is the performance of satellite-based product suites in monitoring long-term dynamics of vegetation photosynthesis over global mountainous areas?International Journal of Applied Earth Observation and Geoinformation, 2023. 119: 103325.
[6]Xie, X., et al. A fine spatial resolution estimation scheme for large-scale gross primary productivity (GPP) in mountain ecosystems by integrating an eco-hydrological model with the combination of linear and non-linear downscaling processes.Journal of Hydrology, 2023. 616: 128833.
[7]Xie, X., et al. Characterizing the effect of scaling errors on the spatial downscaling of mountain vegetation gross primary productivity.Geo-spatial Information Science, 2023. 259: 82-94.
[8]Xie, X., et al. Long-term topographic effect on remotely sensed vegetation index-based gross primary productivity (GPP) estimation at the watershed scale.International Journal of Applied Earth Observation and Geoinformation, 2022. 108.
[9]Xie, X., et al. Quantifying Scaling Effect on Gross Primary Productivity Estimation in the Upscaling Process of Surface Heterogeneity.Journal of Geophysical Research: Biogeosciences, 2022. 127(7).
[10]Xie, X., et al. Spatial Scaling of Gross Primary Productivity Over Sixteen Mountainous Watersheds Using Vegetation Heterogeneity and Surface Topography.Journal of Geophysical Research: Biogeosciences, 2021. 126(5).
[11]Xie, X., et al. A practical topographic correction method for improving Moderate Resolution Imaging Spectroradiometer gross primary productivity estimation over mountainous areas.International Journal of Applied Earth Observation and Geoinformation, 2021. 103: 102522.
[12]Xie, X., et al. Comparing Three Remotely Sensed Approaches for Simulating Gross Primary Productivity over Mountainous Watersheds: A Case Study in the Wanglang National Nature Reserve, China.Remote Sensing, 2021. 10: 3567
[13]Xie, X., et al. An Adjusted Two-Leaf Light Use Efficiency Model for Improving GPP Simulations Over Mountainous Areas.Journal of Geophysical Research: Atmospheres, 2020. 125(13).
[14]Xie, X., et al. Development of a topographic-corrected temperature and greenness model (TG) for improving GPP estimation over mountainous areas.Agricultural and Forest Meteorology, 2020. 295: 108193.
[15]Xie, X.et al. Assessments of gross primary productivity estimations with satellite data-driven models using eddy covariance observation sites over the northern hemisphere.Agricultural and Forest Meteorology, 2020. 280: 107771.
[16]Xie, X., et al. Assessment of five satellite-derived LAI datasets for GPP estimations through ecosystem models.Science of the Total Environment, 2019. 690: 1120-1130.
[17]Xie, X., et al. Uncertainty analysis of multiple global GPP datasets in characterizing the lagged effect of drought on photosynthesis.Ecological Indicators, 2020. 113: 106224.
[18]Xie, X., et al. Derivation of temporally continuous leaf maximum carboxylation rate (Vcmax) from the sunlit leaf gross photosynthesis productivity through combining BEPS model with light response curve at tower flux sites.Agricultural and Forest Meteorology, 2018. 259: 82-94.
[19]Xie, X., et al. Spatial Downscaling of Gross Primary Productivity Using Topographic and Vegetation Heterogeneity Information: A Case Study in the Gongga Mountain Region of China.Remote Sensing, 2018. 10: 647
[20]谢馨瑶等,多尺度山地植被GPP遥感估算中的误差来源解析, 2023,遥感学报.
[21]谢馨瑶等,大尺度森林碳循环过程模拟模型综述, 2018, 38,生态学报. | 
