متابعة
Licheng Liu
Licheng Liu
Research Scientist, University of Minnesota
بريد إلكتروني تم التحقق منه على umn.edu
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
20922019
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, ...‏
3612020
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
1642015
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
1082020
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
972021
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
832020
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
472024
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
412022
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, ...‏
402020
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
362022
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
352022
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
312018
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, ...‏
282019
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
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
262023
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, ...‏
262020
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
242018
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
232020
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
172022
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
162023
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مقالات 1–20