The global methane budget 2000–2017 M Saunois, AR Stavert, B Poulter, P Bousquet, JG Canadell, RB Jackson, ...
Earth System Science Data Discussions 2019, 1-136, 2019
2077 2019 The Global Methane Budget 2000–2017, Earth Syst. Sci. Data, 12, 1561–1623 M Saunois, AR Stavert, B Poulter, P Bousquet, JG Canadell, RB Jackson, ...
356 2020 Source attribution of particulate matter pollution over North China with the adjoint method L Zhang, L Liu, Y Zhao, S Gong, X Zhang, DK Henze, SL Capps, TM Fu, ...
Environmental Research Letters 10 (8), 084011, 2015
164 2015 Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic Y Oh, Q Zhuang, L Liu, LR Welp, MCY Lau, TC Onstott, D Medvigy, ...
Nature Climate Change 10 (4), 317-321, 2020
108 2020 Improved Constraints on Global Methane Emissions and Sinks Using δ 13 C‐CH4 X Lan, S Basu, S Schwietzke, LMP Bruhwiler, EJ Dlugokencky, SE Michel, ...
Global Biogeochemical Cycles 35 (6), e2021GB007000, 2021
97 2021 Modern imaging techniques in plant nutrition analysis: A review D Li, C Li, Y Yao, M Li, L Liu
Computers and Electronics in Agriculture 174, 105459, 2020
82 2020 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
44 2024 KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating N L Liu, S Xu, J Tang, K Guan, TJ Griffis, MD Erickson, AL Frie, X Jia, T Kim, ...
Geoscientific model development 15 (7), 2839-2858, 2022
41 2022 The global methane budget 2000–2017. Earth System Science Data 12: 1561–1623 M Saunois, AR Stavert, B Poulter, P Bousquet, JG Canadell, RB Jackson, ...
40 2020 Improved global wetland carbon isotopic signatures support post-2006 microbial methane emission increase Y Oh, Q Zhuang, LR Welp, L Liu, X Lan, S Basu, EJ Dlugokencky, ...
Communications Earth & Environment 3 (1), 159, 2022
34 2022 Causality guided machine learning model on wetland CH4 emissions across global wetlands K Yuan, Q Zhu, F Li, WJ Riley, M Torn, H Chu, G McNicol, M Chen, S Knox, ...
Agricultural and Forest Meteorology 324, 109115, 2022
32 2022 Global soil consumption of atmospheric carbon monoxide: an analysis using a process-based biogeochemistry model L Liu, Q Zhuang, Q Zhu, S Liu, H Van Asperen, M Pihlatie
Atmospheric Chemistry and Physics 18 (11), 7913-7931, 2018
31 2018 A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change. Nat Ecol Evol 3: 1309–1320 J Song, S Wan, S Piao, AK Knapp, AT Classen, S Vicca, P Ciais, ...
28 2019 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
27 * 2023 The Global Methane Budget 2000–2017. Earth Syst Sci Data 12 (3): 1561–1623 M Saunois, AR Stavert, B Poulter, P Bousquet, JG Canadell, RB Jackson, ...
26 2020 Physics guided neural networks for time-aware fairness: an application in crop yield prediction E He, Y Xie, L Liu, W Chen, Z Jin, X Jia
Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14223 …, 2023
25 2023 Consumption of atmospheric methane by the Qinghai–Tibet Plateau alpine steppe ecosystem H Yun, Q Wu, Q Zhuang, A Chen, T Yu, Z Lyu, Y Yang, H Jin, G Liu, Y Qu, ...
The Cryosphere 12, 2803-2819, 2018
24 2018 Uncertainty quantification of global net methane emissions from terrestrial ecosystems using a mechanistically based biogeochemistry model L Liu, Q Zhuang, Y Oh, NJ Shurpali, S Kim, B Poulter
Journal of Geophysical Research: Biogeosciences 125 (6), e2019JG005428, 2020
23 2020 A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest Q Yang, L Liu, J Zhou, R Ghosh, B Peng, K Guan, J Tang, W Zhou, ...
Remote Sensing of Environment 299, 113880, 2023
16 2023 Distinct driving mechanisms of non-growing season N2O emissions call for spatial-specific mitigation strategies in the US Midwest Y Yang, L Liu, W Zhou, K Guan, J Tang, T Kim, RF Grant, B Peng, P Zhu, ...
Agricultural and Forest Meteorology 324, 109108, 2022
15 2022 
Kaiyu GuanFounding Director of Agroecosystem Sustainability Center, University Scholar, Univ. of IllinoisAdresse e-mail validée de illinois.edu