| Assessing the impacts of cover crops on maize and soybean yield in the US Midwestern agroecosystems Z Qin, K Guan, W Zhou, B Peng, MB Villamil, Z Jin, J Tang, R Grant, ... Field Crops Research 273, 108264, 2021 | 51 | 2021 |
| Recent rapid increase of cover crop adoption across the US midwest detected by fusing multi‐source satellite data Q Zhou, K Guan, S Wang, C Jiang, Y Huang, B Peng, Z Chen, S Wang, ... Geophysical Research Letters 49 (22), e2022GL100249, 2022 | 28 | 2022 |
| Assessing long‐term impacts of cover crops on soil organic carbon in the central US Midwestern agroecosystems Z Qin, K Guan, W Zhou, B Peng, J Tang, Z Jin, R Grant, T Hu, MB Villamil, ... Global change biology 29 (9), 2572-2590, 2023 | 16 | 2023 |
| Airborne hyperspectral imaging of cover crops through radiative transfer process-guided machine learning S Wang, K Guan, C Zhang, C Jiang, Q Zhou, K Li, Z Qin, EA Ainsworth, ... Remote Sensing of Environment 285, 113386, 2023 | 15 | 2023 |
| Assessing the impacts of pre-growing-season weather conditions on soil nitrogen dynamics and corn productivity in the US Midwest Z Li, K Guan, W Zhou, B Peng, Z Jin, J Tang, RF Grant, ED Nafziger, ... Field Crops Research 284, 108563, 2022 | 14 | 2022 |
| How does uncertainty of soil organic carbon stock affect the calculation of carbon budgets and soil carbon credits for croplands in the US Midwest? W Zhou, K Guan, B Peng, A Margenot, DK Lee, J Tang, Z Jin, R Grant, ... Geoderma 429, 116254, 2023 | 10 | 2023 |
| A scalable framework for quantifying field-level agricultural carbon outcomes K Guan, Z Jin, B Peng, J Tang, EH DeLucia, PC West, C Jiang, S Wang, ... Earth-Science Reviews 243, 104462, 2023 | 4 | 2023 |
| Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems L Liu, W Zhou, K Guan, B Peng, S Xu, J Tang, Q Zhu, J Till, X Jia, C Jiang, ... Nature communications 15 (1), 357, 2024 | 3 | 2024 |
| A framework for scalably quantifying field-level agricultural carbon outcomes K Guan, Z Jin, EH DeLucia, W Paul, B Peng, J Tang, C Jiang, S Wang, ... Earth ArXiv, 2022 | 1 | 2022 |
| Airborne hyperspectral imaging of cover crop outcomes and tillage intensity in croplands by machine learning and radiative transfer modeling S Wang, K Guan, Q Zhou, C Zhang, C Jiang, K Li, Z Qin, E Ainsworth, ... AGU Fall Meeting Abstracts 2021, B55K-1320, 2021 | 1 | 2021 |
| Different nitrogen fertilizer management practices on crop productivity and environmental outcomes across the US Midwest Z Li, K Guan, T Hu, W Zhou, B Peng, ED Nafziger, RF Grant, Z Jin, J Tang, ... AGU23, 2023 | | 2023 |
| Livestock grazing and climate drivers influence responses of forage biomass and SOC stocks in semi-arid rangelands of the Western Great Plains L Ye, K Guan, JD Derner, G Thoma, B Peng, Z Qin AGU23, 2023 | | 2023 |
| SYMFONI: the “system-of-systems” solution to quantify soil carbon and GHG outcomes for the broad US croplands-solidifying the foundation for the US climate-smart agriculture … K Guan, B Peng, T Hu, Z Qin, Z Li, R Qin, L Ye, Z Ma, W Zhou, S Wang, ... AGU23, 2023 | | 2023 |
| Quantifying field-level carbon intensity based on cradle to farm-gate life cycle assessment: uncertainty assessment under different management practices for the US Midwestern … Z Qin, K Guan, T Hu, Y Li, B Peng, W Zhou, C Hao, X Liu, RF Grant, L Ye, ... AGU23, 2023 | | 2023 |
| Assessing environmental and agronomic benefits of cover crops for the US Corn Belt Z Qin, K Guan, T Hu, W Zhou, B Peng, J Tang, Z Jin, RF Grant, S Mirsky, ... AGU23, 2023 | | 2023 |
| An efficient and trustable carbon credit simulator for climate-smart agricultural practices using knowledge-guided Machine Learning Y Yang, LIU Licheng, Q Yang, Z Qin, L Ye, K Guan, Z Jin AGU23, 2023 | | 2023 |
| Improved quantification of cover crop biomass and ecosystem services through remote sensing-based model–data fusion L Ye, K Guan, Z Qin, S Wang, W Zhou, B Peng, R Grant, J Tang, T Hu, ... Environmental Research Letters 18 (9), 094018, 2023 | | 2023 |
| Assessing the impacts of different nitrogen application strategies on corn productivity and environmental sustainability in Illinois Z Li, K Guan, W Zhou, Z Qin, B Peng, RF Grant, Z Jin, J Tang AGU Fall Meeting Abstracts 2022, GC45E-1016, 2022 | | 2022 |
| Improved Quantification of Cover Crop Biomass and Its Ecosystem Services in the US Midwest through Remote Sensing-based Model-data Fusion L Ye, K Guan, Z Qin, S Wang, W Zhou, B Peng, RF Grant, J Tang, Z Jin, ... AGU Fall Meeting Abstracts 2022, GC36A-03, 2022 | | 2022 |
| How does uncertainty of soil organic carbon stock affect carbon budgets and soil carbon credit calculation in the US Midwestern agroecosystems? W Zhou, K Guan, B Peng, AJ Margenot, DK Lee, J Tang, Z Jin, RF Grant, ... AGU Fall Meeting Abstracts 2022, GC54G-04, 2022 | | 2022 |
