近五年，本人累计发表SCI研究论文二十余篇，其中以第一或通讯作者在Nature Food、Global Change Biology、Agricultural and Forest Meteorology、Journal of Hydrology等期刊上发表 SCI 论文多篇，以第二作者在Nature Communications发表SCI论文1篇。学术主页：https://scholar.google.com/citations?user=DmDrL6YAAAAJ&hl=zh-CN，具体列表如下：

第一或通讯作者发表的文章（*代表通讯作者）：

Shi Y.*, Zhang Y., Wu B., Wang B., Li L., Shi H., Jin N., Liu D.L., Miao R., Lu X., Geng Q., Lu C., He L., Fang N., Yue C., He J., Feng H., Pan S., Tian H.*, Yu Q.*, 2022. Building social resilience in North Korea can mitigate the impacts of climate change on food security. Nature Food, 3, 499-511 
Shi Y., Pan S., You Y., Prior S., Tian D., Yu H., Yu Q., Tian H.*, 2025. Extreme Dry‐Heat Climate Impacts on Greenhouse Gas Emission Intensity in Wheat Production: Insights and Mitigation Strategies. Global Change Biology, 31, e70349 
Shi Y., Jin N.*, Ma X., Wu B., He Q., Yue C., Yu Q.*, 2020. Attribution of climate and human activities to vegetation change in China using machine learning techniques. Agricultural and Forest Meteorology, 294, 108146 
Jin, N., Shi, Y.*, Niu W., He L.*, 2023. Spatial and temporal patterns of agricultural drought in China during 1960–2020 characterized by use of the crop water deficit Abnormal Index. Journal of Hydrology, 627, 130454 
Shi, Y., Li L., Wu B., Zhang Y., Wang B., Niu W., He L., Jin N., Pan S., Tian H.*, Yu Q.*, 2024. Predicting rice productivity for ground data-sparse regions: A transferable framework and its application to North Korea. Science of The Total Environment, 946, 174227 
Shi, Y., Jin N.*, Wu B., Wang Z., Wang S., Yu Q., 2025. Effects of machine learning models and spatial resolution on land cover classification accuracy in Dali County, Shaanxi, China. International Journal of Agricultural and Biological Engineering, 18, 245-259 

其他作者发表的文章：

Qiu, T., Shi, Y., Peñuelas J., Liu J., Cui Q., Sardans J., Zhou F., Xia L., Yan W., Zhao S., Peng S., Jian J., He Q., Zhang W., Huang M., Tan W., Fang L.*, 2024. Optimizing cover crop practices as a sustainable solution for global agroecosystem services. Nature Communications, 15, 10617

Li, Y., Tian H.*, Yao Y., Shi H., Bian Z., Shi, Y., Wang S., Maavara T., Lauerwald R., Pan S., 2024. Increased nitrous oxide emissions from global lakes and reservoirs since the pre-industrial era. Nature Communications, 15, 942.

He, Q., Liu D. L.*, Wang B.*, Wang Z., Cowie A., Simmons A., Xu Z., Li L., Shi, Y., Liu K., Harrison M. T., Waters C., Huete A., Yu Q.*, 2024. A food-energy-water-carbon nexus framework informs region-specific optimal strategies for agricultural sustainability. Resources, Conservation and Recycling, 203, 107428.
Tan, J., Zhao G.*, Tian Q., Zheng L., Kang X., He Q., Shi, Y., Chen B., Wu D., Yao N., He L., Srivastava A. K., Li Y., He J., Feng H., Yu Q.*, 2024. Overcoming mechanistic limitations of process-based phenological models: A data clustering method for large-scale applications. Agricultural and Forest Meteorology, 356, 110167.
Li, L., Wang B.*, Feng P., Jägermeyr J., Asseng S., Müller C., Macadam I., Liu D.L.*, Waters C., Zhang Y., He Q., Shi, Y., Chen S., Guo X., Li Y., He J., Feng H., Yang G., Tian H., Yu Q.*, 2023. The optimization of model ensemble composition and size can enhance the robustness of crop yield projections. Communications Earth & Environment. 4, 362.
Li, L., Zhang Y., Wang B., Feng P., He Q., Shi Y., Liu K., Harrison M. T., Liu D.L.*, Yao N., Li Y., He J., Feng H., Siddique K., Yu Q.*, 2023. Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change. European Journal of Agronomy, 149, 126917.
He, Q., Li L., Shi, Y., Feng P., Liu K., Zhang S., Liu D.L., Wang Z. Harrison M.T., Li S., Yu Q., Siddique K., 2025. Soil organic carbon improvement for mitigating crop yield losses under global warming. European Journal of Agronomy, 170, 127739.
Niu, W., Wang H., Luo L., Shi, Y., Sui Y., Wu L., Zhang B.*, Yu Q.*, et al., 2025. Spatiotemporal impact of cultivated land use transition on grain production: Perspective of interaction between dominant and recessive transitions. Environmental Impact Assessment Review, 117, 108170.
Wang, X., He L.*, Li P., Ma J., Shi, Y., Tian Q., Zhao G., He J., Feng H., Shi H.*, Yu Q.*, et al., 2025. Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change. Earth System Science Data Discussions, 2025, 1-36.
Wu, B., Ma D., Shi, Y., Zuo G., Chang F., Sun M., Yin L.*, Wang S.*, et al., 2024. Optimizing tillage practice based on water supply during the growing season in wheat and maize production in northern China. Agricultural Water Management, 300, 108923.
Niu, W., Luo L., Shi, Y., Chai C., Wang H., Tian Q., Jin Y., Kong X., Yu Q., Ren L., Zhang B.*, 2025. Impacts of “One Household One Plot” and “One Village Group One Plot” fragmentation consolidation models on cultivated land use transition from perspective of human-land system. Habitat International, 156, 103252

Qin, X., Tian H.*, Canadell J.G., Shi Y., Pan S., Bastos A., Ciais P., Crippa M., Pan N., Patra P.K., Poulter B., Saunois M., Sitch S., 2025. Greenhouse gas budgets of Central and West Asia (2000–2020): A significant net source to the atmosphere. Global Biogeochemical Cycles, 39, e2024GB008370.

Ye J., Xiao C., Feng Z.*, Qiao T., Shi Y., Zhang Y., 2025. Revealing remote sensing blind spots in human-driven land transitions: a systematic evaluation of state-of-the-art land use and land cover datasets on the Tibetan Plateau. Big Earth Data, 1–34.
Zhang, Y.*, Zhao J., Yan Y., Shi Y., Yu Q.*, et al., 2021. Relationship of population migration, crop production pattern, and socioeconomic development: evidence from the early 21st century. Environmental Research Letters, 16, 074045.
Ye, J., Hu Y.*, Feng Z., Zhen L. Shi Y., Tian Q., Zhang Y., et al., 2024. Monitoring of Cropland Abandonment and Land Reclamation in the Farming–Pastoral Zone of Northern China. Remote Sensing, 16, 1089.
He, Q., Lu C.*, Cowie A., Zhao S., Liu D.L., Yi B., Shi L., Zhang S., Qiu T., Shi Y., Huete A., Siddique K., Yu Q., Li L.*, 2025. Optimizing cover cropping application for sustainable crop production. npj Sustainable Agriculture, 3, 10.
Li, L., He Q., Harrison M. T., Shi Y., Feng P., Wang B., Zhang Y., Li Y., Liu D.L., Yang G., Zhou M., Yu Q., Liu K.*, 2025. Knowledge-guided machine learning for improving crop yield projections of waterlogging effects under climate change. Resources, Environment and Sustainability. 19, 100185
施宇, 张哲浩, 杨远远. 要对农业农村农民有真感情[N]. 光明日报(国家级), 2021-06-02(007). DOI: 10.28273/n.cnki.ngmrb.2021.002815.