| A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction F Li, Z Gui, Z Zhang, D Peng, S Tian, K Yuan, Y Sun, H Wu, J Gong, Y Lei Neurocomputing 403, 153-166, 2020 | 80 | 2020 |
| A quad-tree-based fast and adaptive Kernel Density Estimation algorithm for heat-map generation K Yuan, X Cheng, Z Gui, F Li, H Wu International Journal of Geographical Information Science 33 (12), 2455-2476, 2019 | 38 | 2019 |
| Deforestation reshapes land-surface energy-flux partitioning K Yuan, Q Zhu, S Zheng, L Zhao, M Chen, WJ Riley, X Cai, H Ma, F Li, ... Environmental Research Letters 16 (2), 024014, 2021 | 23 | 2021 |
| Understanding and reducing the uncertainties of land surface energy flux partitioning within CMIP6 land models K Yuan, Q Zhu, WJ Riley, F Li, H Wu Agricultural and Forest Meteorology 319, 108920, 2022 | 21 | 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 | 15 | 2022 |
| Building a machine learning surrogate model for wildfire activities within a global Earth system model Q Zhu, F Li, WJ Riley, L Xu, L Zhao, K Yuan, H Wu, J Gong, J Randerson Geoscientific Model Development 15 (5), 1899-1911, 2022 | 15 | 2022 |
| Spatiotemporal analysis and prediction of crime events in atlanta using deep learning S Wang, K Yuan 2019 IEEE 4th international conference on image, vision and computing (ICIVC …, 2019 | 14 | 2019 |
| Wetter California projected by CMIP6 models with observational constraints under a high GHG emission scenario F Li, Q Zhu, WJ Riley, K Yuan, H Wu, Z Gui Earth's Future 10 (4), e2022EF002694, 2022 | 13 | 2022 |
| Vegetation clumping modulates global photosynthesis through adjusting canopy light environment F Li, D Hao, Q Zhu, K Yuan, RK Braghiere, L He, X Luo, S Wei, WJ Riley, ... Global change biology 29 (3), 731-746, 2023 | 10 | 2023 |
| AttentionFire_v1. 0: interpretable machine learning fire model for burned-area predictions over tropics F Li, Q Zhu, WJ Riley, L Zhao, L Xu, K Yuan, M Chen, H Wu, Z Gui, J Gong, ... Geoscientific Model Development 16 (3), 869-884, 2023 | 6 | 2023 |
| Upscaling wetland methane emissions from the FLUXNET‐CH4 Eddy covariance network (UpCH4 v1. 0): Model development, network assessment, and budget comparison G McNicol, E Fluet‐Chouinard, Z Ouyang, S Knox, Z Zhang, T Aalto, ... AGU Advances 4 (5), e2023AV000956, 2023 | 5 | 2023 |
| Building a machine learning surrogate model for wildfire activities within a global earth system model Q Zhu, F Li, WJ Riley, L Xu, L Zhao, K Yuan, H Wu, J Gong, JT Randerson Geoscientific Model Development Discussions 2021, 1-22, 2021 | 2 | 2021 |
| AttentionFire_v1. 0: interpretable machine learning fire model for burned area predictions over tropics F Li, Q Zhu, W Riley, L Zhao, L Xu, K Yuan, M Chen, H Wu, Z Gui, J Gong, ... Geoscientific Model Development Discussions 2022, 1-28, 2022 | 1 | 2022 |
| Predicting climate conditions based on teleconnections H Ma, K Yuan, F Li, C Leroy, G Bronevetsky US Patent 11,243,332, 2022 | 1 | 2022 |
| Global impacts of vegetation clumping on regulating land surface heat fluxes F Li, D Hao, Q Zhu, K Yuan, RK Braghiere, L He, X Luo, S Wei, WJ Riley, ... Agricultural and Forest Meteorology 345, 109820, 2024 | | 2024 |
| Boreal–Arctic wetland methane emissions modulated by warming and vegetation activity K Yuan, F Li, G McNicol, M Chen, A Hoyt, S Knox, WJ Riley, R Jackson, ... Nature Climate Change, 1-7, 2024 | | 2024 |
| Boreal-Arctic wetland methane emissions under arctic warming and greening Q Zhu, K Yuan 104th AMS Annual Meeting, 2024 | | 2024 |
| Global Wetland Methane Emissions derived from FLUXNET and the UpCH4 Model, 2001-2018 G MCNICOL, E FLUET-CHOUINARD, Z OUYANG, SH KNOX, Z ZHANG, ... ORNL DAAC, 2024 | | 2024 |
| Two decades (2002~ 2022) of global wetland methane emissions upscaled by integrating multi-source observations: magnitude, interannual-variations, and uncertainties K Yuan, Q Zhu, F Li, G McNicol, M Chen AGU23, 2023 | | 2023 |
| Defining Global Wetland Methane Constituencies and Quantifying Constituency Representativeness of Methane Flux Observations G McNicol, T Rewari, K Yuan, F Li, M Chen, Q Zhu AGU23, 2023 | | 2023 |
FA LIStanford UniversityVerified email at stanford.edu
