Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 17 Partnerships for the Goals
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The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Retraction notice to “Knowledge-guided machine learning captures key mechanistic pathways for better predicting spatio-temporal patterns of growing season N2O emissions in the U.S. Midwest” [Agricultural and Forest Meteorology 373 (2025) 110750] (Agricultural and Forest Meteorology (2025) 373, (S0168192325003697), (10.1016/j.agrformet.2025.110750))
Ye, L., Liu, L., Yang, Y., Li, Z., Zhou, W., Peng, B., Xu, S., Kumar, V., Yang, W. H., Tang, J., Jin, Z. & Guan, K., Mar 1 2026, In: Agricultural and Forest Meteorology. 378, 110998.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Knowledge-guided machine learning captures key mechanistic pathways for better predicting spatio-temporal patterns of growing season N2O emissions in the U.S. Midwest
Ye, L., Liu, L., Yang, Y., Li, Z., Zhou, W., Peng, B., Xu, S., Kumar, V., Yang, W. H., Tang, J., Jin, Z. & Guan, K., Oct 15 2025, In: Agricultural and Forest Meteorology. 373, 110750.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations -
Opportunities for smarter choices of climate-smart agricultural practices in US corn-soybean systems
Yang, Y., Liu, L., Mulla, D. & Ogle, S., 2025, In: Nature Communications.Research output: Contribution to journal › Article
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Corrigendum to ’Distinct driving mechanisms of non-growing season N2O emissions call for spatial-specific mitigation strategies in the US Midwest’ [Agricultural and Forest Meteorology 324 (2022) 109108] (Agricultural and Forest Meteorology (2022) 324, (S0168192322002957), (10.1016/j.agrformet.2022.109108))
Yang, Y., Liu, L., Zhou, W., Guan, K., Tang, J., Kim, T., Grant, R. F., Peng, B., Zhu, P., Li, Z., Griffis, T. J. & Jin, Z., May 15 2023, In: Agricultural and Forest Meteorology. 335, 109457.Research output: Contribution to journal › Comment/debate › peer-review
1 Link opens in a new tab Scopus citations -
Assessing the impacts of pre-growing-season weather conditions on soil nitrogen dynamics and corn productivity in the U.S. Midwest
Li, Z., Guan, K., Zhou, W., Peng, B., Jin, Z., Tang, J., Grant, R. F., Nafziger, E. D., Margenot, A. J., Gentry, L. E., DeLucia, E. H., Yang, W. H., Cai, Y., Qin, Z., Archontoulis, S. V., Fernández, F. G., Yu, Z., Lee, D. K. & Yang, Y., Aug 1 2022, In: Field Crops Research. 284, 108563.Research output: Contribution to journal › Article › peer-review
Open Access18 Link opens in a new tab Scopus citations