全部论文

https://scholar.google.com/citations?user=DghN-sAAAAAJ&hl=en

近5年代表性论文

#: 通讯作者，下划线: 指导学生

[1] Yang, Y., Tilman, D.^#, Jin, Z.^#, Smith, P., Barrett, C.B.^#, Zhu, Y.G., ... & Lobell, D.B.^# (2024). Climate change exacerbates the environmental impacts of agriculture. Science, 385(6713), eadn3747.

[2] Zhou, J., Zhu, P., Kluger, D. M., Lobell, D. B., & Jin, Z.^# (2024). Changes in the Yield Effect of the Preceding Crop in the US Corn Belt Under a Warming Climate. Global Change Biology, 30(11), e17556.

[3] Liu, L., Zhou, W., Guan, K.^#, Peng, B., Xu, S., Tang, J., Zhu, Q., Till, J., Jia, X., Jiang, C., Wang, S., ..., Kumar, V. & Jin, Z.^# (2024) Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems. Nature Communications, 15, 357.

[4] Yang, Q., Liu, L., Zhou, J., Ghosh, R., Peng, B., Guan, K., Tang, J., Zhou, W., Kumar, V., & Jin, Z.^# (2023) A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest. Remote Sensing of Environment, 299, 113880.

[5] Yang, Y., Jin, Z.^#, Muller, N.D.^#, Driscoll, A., Hernandez, R.R., Grodsky, S., Sloat, L., …, Zhu, Y.G., & Lobell, D.B. (2023) Sustainable irrigation and climate feedbacks. Nature Food, 4, 654–663.

[6] Yin, L., Ghosh, R., Lin, C., Hale, D., Weigl, C., Obrowski, J., Zhou, J., Till, J., Jia, X., You, N., Mao, T., Kumar, V., & Jin, Z.^# (2023) Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin. Remote Sensing of Environment, 295, 113695.

[7] Liu, L., Xu, S., Tang, J., Guan, K., Griffis, T.J., Erickson, M.D., Frie, A.L., Jia, X., Kim, T., Miller, L.T., Peng, B., ..., Kumar, V., & Jin, Z.^# (2022) KGML-ag: A Modeling Framework of Knowledge- Guided Machine Learning to Simulate Agroecosystems: A Case Study of Estimating N₂O Emission using Data from Mesocosm Experiments. Geoscientific Model Development, 15, 2839–2858. 

[8] Lin, C., Zhong, L., Song, X., Dong, J., Lobell, D.B., & Jin, Z.^# (2022) Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach. Remote Sensing of Environment, 274, 112994.

[9] Zhu, P., Kim, T., Jin, Z.^#, Lin, C., Wang, X., Ciais, P., Mueller, N.D., AghaKouchak, A., Huang, J., Mulla, D., & Makowski, D. (2022) The critical benefits of snowpack insulation and snowmelt for winter wheat productivity. Nature Climate Change, 12, 485–490.

[10] Benami, E.^#, Jin, Z.^#, Carter, M., Lobell, D.B., Kenduiywo, B., Ghosh, A., & Hijmans, R. (2021) Uniting remote sensing, crop modelling and economics for agricultural risk management. Nature Review Earth & Environment, 2, 140-159.