In review

  • Chen, X*., Ciais, P., Maignan, F., Zhang, Y., Bastos, A., Bacour, C., Fan, L., Goll, D., Kim, H., Li, L., Liu, L., Liu, Y., Peng, S., Tang, H., Viovy, N., Wigneron, J., Wu, J., Yuan, W., Zhang, H. Phenology controls on the seasonal variability of photosynthesis and evapotranspiration across the Amazon forest. Global Change Biology. Under review.



  • Su, Y.*, Wang, Y., Zheng, B., Ciais, P., Wu, J., Chen, X., … & Lafortezza, R. (2020), Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China’s manufacturing at city level.Environmental Research Letters. Accepted.


  • Chen, X.*, Maignan, F., Viovy, N., Goll, D., Wu, J., Bastos, A., Yue, C., Peng, S., Conceição, A., Liu, L., Ciais, P. (2019), Novel representation of leaf phenology improves simulation of Amazonian evergreen forest photosynthesis in a land surface model. Journal of Advances in Modeling Earth Systems. , 12(1), e2018MS001565.
  • Wu, J., Liu, L., Sun, C., Su, Y.*, Wang, C., Yang, J., … & Zhang, H. (2019). Estimating Rainfall Interception of Vegetation Canopy from MODIS Imageries in Southern China. Remote Sensing11(21), 2468.
  • Su, Y., Liu, L., Liao, J., Wu, J., Ciais, P., Liao, J., …Chen,X.*, … & Zhou, G. (2020). Phenology acts as a primary control of urban vegetation cooling and warming: A synthetic analysis of global site observations. Agricultural and Forest Meteorology280, 107765. …more
  • Su, Y., Liu, L., Wu, J., Chen, X*., Shang, J., Ciais, P., Zhou, G., … & Huang, N.(2019). Quantifying the biophysical effects of forests on local air temperature using a novel
    three-layered land surface energy balance model. Environmental international, 105080. …more
  • Zhou, G., Xu, S., Ciais, P., Manzoni, S., Fang, J., Yu, G., … & Chen, X. (2019). Climate and litter C/N ratio constrain soil organic carbon accumulation. National Science Review. …more
  • Wu, J., Su, Y.*, Chen, X., Liu, L., Sun, C., Zhang, H., … & Wang, C. (2019). Redistribution characteristics of atmospheric precipitation in different spatial levels of Guangzhou urban typical forests in southern China. Atmospheric Pollution Research. …more


  • Tang, X., Zhao, X., Bai, Y., Tang, Z., Wang, W., Zhao, Y., … & Zhou, G*. (2018). Carbon pools in China’s terrestrial ecosystems: New estimates based on an intensive field survey. Proceedings of the National Academy of Sciences, 115(16), 4021-4026. …more
  • Zhou, P., Li, Q., Zhou, G., Wei, X., Zhang, M., Liu, Z., Chen, X… & Su, Y. (2018). Reply to’Flawed assumptions compromise water yield assessment’. Nature communications, 9(1), 4788. …more


  • Liu, L., Liao, J., Chen, X*., Zhou, G., Su, Y., Xiang, Z., … & Xiong, X. (2017). The Microwave Temperature Vegetation Drought Index (MTVDI) based on AMSR-E brightness temperatures for long-term drought assessment across China (2003–2010). Remote Sensing of Environment, 199, 302-320. …more
  • Su, Y., Chen, X*., Su, H., Liu, L., & Liao, J. (2017). Digitizing the thermal and hydrological parameters of land surface in subtropical China using AMSR-E brightness temperatures. International Journal of Digital Earth, 10(7), 687-700. …more
  • Chen, X. , Liu, X. , Liu, Z. , Zhou, P. , Zhou, G.* , & Liao, J. , et al. (2017). Spatial clusters and temporal trends of seasonal surface soil moisture across china in responses to regional climate and land cover changes. Ecohydrology. …more


  • Chen, X., Wei, X., Sun, G., Zhou, P., & Zhou, G*. (2016). Correspondence: Reply to ‘Space-time asymmetry undermines water yield assessment’. Nature communications, 7, 11604. …more
  • Chen, X., Su, Y., Liao, J., Shang, J., Dong, T., Wang, C., Liu,W., Zhou, G* & Liu, L. (2016). Detecting significant decreasing trends of land surface soil moisture in eastern China during the past three decades (1979–2010). Journal of Geophysical Research: Atmospheres, 121(10), 5177-5192. …more
  • Su, Y., Chen, X.*, Liao, J., Zhang, H., Wang, C., Ye, Y., & Wang, Y. (2016). Modeling the optimal ecological security pattern for guiding the urban constructed land expansions. Urban forestry & urban greening, 19, 35-46. …more
  • Wu, J., Liang, G., Hui, D., Deng, Q., Xiong, X., Qiu, Q., … & Zhang, D. (2016). Prolonged acid rain facilitates soil organic carbon accumulation in a mature forest in Southern China. Science of the Total Environment, 544, 94-102. …more


  • Zhou, G.*, Wei, X.#, Chen, X.#, Zhou, P., Liu, X., Xiao, Y., … & Su, Y. (2015). Global pattern for the effect of climate and land cover on water yield. Nature communications, 6, 5918. …more
  • Chen, X., Liu, X., Zhou, G*., Han, L., Liu, W., & Liao, J. (2015). 50-year evapotranspiration declining and potential causations in subtropical Guangdong province, southern China. Catena, 128, 185-194. …more
  • Su, Y., Chen, X.*, Wang, C., Zhang, H., Liao, J., Ye, Y., & Wang, C. (2015). A new method for extracting built-up urban areas using DMSP-OLS nighttime stable lights: A case study in the Pearl River Delta, southern China. GIScience & Remote Sensing, 52(2), 218-238. …more

Before 2015

  • Su, Y., Chen, X.*, Li, Y., Liao, J., Ye, Y., Zhang, H., … & Kuang, Y. (2014). China׳ s 19-year city-level carbon emissions of energy consumptions, driving forces and regionalized mitigation guidelines. Renewable and Sustainable Energy Reviews, 35, 231-243. …more
  • Chen, X. Z.*, Li, Y., Su, Y. X., Han, L. S., Liao, J. S., & Yang, S. B. (2014). Mapping global surface roughness using AMSR-E passive microwave remote sensing. Geoderma, 235, 308-315. …more
  • Chen, X.*, Su, Y., Li, Y., Han, L., Liao, J., & Yang, S. (2014). Retrieving China’s surface soil moisture and land surface temperature using AMSR-E brightness temperatures. Remote sensing letters, 5(7), 662-671. …more
  • Chen, X. Z., Chen, S. S., Zhong, R. F., Su, Y. X., Liao, J. S., Li, D., … & Li, X. (2012). A semi-empirical inversion model for assessing surface soil moisture using AMSR-E brightness temperatures. Journal of hydrology, 456, 1-11. …more
  • Chen, X., Su, Y., Li, D., Huang, G., Chen, W., & Chen, S. (2012). Study on the cooling effects of urban parks on surrounding environments using Landsat TM data: a case study in Guangzhou, southern China. International journal of remote sensing, 33(18), 5889-5914. …more