Author Bibliographies
Publications by Meijian Yang
This citation list includes papers published while the author has been on staff at the NASA Goddard Institute for Space Studies. It may include some publications based on research conducted prior to their having joined the institute staff.
2023
Liu, Q., F. Dou, Customized positional encoding to combine static and time-varying data in robust representation learning for crop yield prediction. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, Macao, SAR, 19-25 August 2023. E. Elkind, Ed., International Joint Conferences on Artificial Intelligence, pp. 6094-6102, doi:10.24963/ijcai.2023/676.
, E. Amdework, G. Wang, and J. Bi, 2023:Heat stress to jeopardize crop production in the US Corn Belt based on downscaled CMIP5 projections. Agric. Syst., 211, 103746, doi:10.1016/j.agsy.2023.103746.
, and G. Wang, 2023:Water stress dominates the projected maize yield changes in Ethiopia. Glob. Planet. Change, 228, 104216, doi:10.1016/j.gloplacha.2023.104216.
, G. Wang, Y. Sun, L. You, and R. Anyah, 2023:Seasonal prediction of crop yields in Ethiopia using an analog approach. Agric. Forest Meteorol., 331, 109347, doi:10.1016/j.agrformet.2023.109347.
, G. Wang, S. Wu, P. Block, R. Lazin, S. Alexander, J. Lala, M.R. Haider, Z. Dokou, E.A. Atsbeha, M. Koukoula, X. Shen, M. Peña, E. Nikolopoulos, A. Bagtzoglou, and E. Anagnostou, 2023:2022
Fan, Y., X. Wang, T. Funk, I. Rashid, B. Herman, N. Bompoti, M.S. Mahmud, M. Chrysochoou, A critical review for real-time continuous soil monitoring: Advantages, challenges, and perspectives. Environ. Sci. Technol., 56, no. 19, 13546-13564, doi:10.1021/acs.est.2c03562.
, T.M. Vadas, Y. Lei, and B. Li, 2022:Jiang, Y., Eco-hydrological responses to recent droughts in tropical South America. Environ. Res. Lett., 17, no. 2, 024037, doi:10.1088/1748-9326/ac507a.
, W. Liu, K. Mohammadi, and G. Wang, 2022:Liu, Q., Machine learning crop yield models based on meteorological features and comparison with a process-based model. Artif. Intell. Earth Syst., 1, no. 4, e220002, doi:10.1175/AIES-D-22-0002.1.
, K. Mohammadi, D. Song, J. Bi, and G. Wang, 2022:2021
Khadim, F.K., Z. Dokou, A.C. Bagtzoglou, A numerical framework to advance agricultural water management under hydrological stress conditions in a data scarce environment. Agric. Water Manag., 254, 106947, doi:10.1016/j.agwat.2021.106947.
, G.A. Lijalem, and E. Anagnostou, 2021:Lala, J., Utilizing rainy season onset predictions to enhance maize yields in Ethiopia. Environ. Res. Lett., 16, no. 5, 054035, doi:10.1088/1748-9326/abf9c9.
, G. Wang, and P. Block, 2021:Impact of planting time soil moisture on cereal crop yield in the Upper Blue Nile Basin: A novel insight towards agricultural water management. Agric. Water Manag., 243, 106430, doi:10.1016/j.agwat.2020.106430.
, G. Wang, R. Lazin, X. Shen, and E. Anagnostou, 2021:2020
Liu, W., G. Wang, M. Yu, H. Chen, Y. Jiang, Projecting the future vegetation-climate system over East Asia and its RCP-dependence. Clim. Dyn., 55, no. 9, 2725-2742, doi:10.1007/s00382-020-05411-2.
, and Y. Shi, 2020:The role of climate in the trend and variability of Ethiopia's cereal crop yields. Sci. Total Environ., 723, 137893, doi:10.1016/j.scitotenv.2020.137893.
, G. Wang, K.F. Ahmed, B. Adugna, M. Eggen, E. Atsbeha, L. You, J. Koo, and E. Anagnostou, 2020: