| 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 | 2082 | 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, ... | 369 | 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 | 167 | 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 δ13C‐CH4 X Lan, S Basu, S Schwietzke, LMP Bruhwiler, EJ Dlugokencky, SE Michel, ... Global Biogeochemical Cycles 35 (6), e2021GB007000, 2021 | 103 | 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 | 83 | 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 | 48 | 2024 |
| KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating NO emission using data from … 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 |
| 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 | 38 | 2022 |
| 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 | 38 | 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, ... Go to original source, 2020 | 38 | 2020 |
| 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 | 33 | 2018 |
| 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, ... | 29 | 2020 |
| 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 | 28* | 2023 |
| 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 |
| 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 | 27 | 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 | 23 | 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 | 22 | 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 | 19 | 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 | 17 | 2022 |
Kaiyu GuanLevenick Professor & Founding Director of Agroecosystem Sustainability Center, Univ. of Illinoisยืนยันอีเมลแล้วที่ illinois.edu