Publications

Selected journal articles

2025

Li, F., Zhu, Q., Yuan, K., Huang, H., Radeloff, V. C., & Chen, M. (2025). Exacerbating risk in human-ignited large fires over western United States due to lower flammability thresholds and greenhouse gas emissions. PNAS Nexus, 4(2), pgaf012.
Peng, D., Gui, Z., Wei, W., Li, F., Gui, J., Wu. H., & Gong, J. (2025). Sampling-enabled scalable manifold learning unveils the discriminative cluster structure of high-dimensional data. Nature Machine Intelligence.
Liu, H., Li, F., Dashti, H., & Chen, M. (2025). Hyperspectral surface reflectance improves GPP estimation in terrestrial biosphere modeling using model–data fusion. Remote Sensing of Environment, 330, 114989.
Ji, F., Li, F., Dashti, H., Hao, D., Townsend, P. A., Zheng, T., You, H., & Chen, M. (2025). Leveraging transfer learning and leaf spectroscopy for leaf trait prediction with broad spatial, species, and temporal applicability. Remote Sensing of Environment.
Chen, S., Yuan, K., Li, F., Zhu, Q., & Zhuang, Q. (2025). Hysteretic temperature sensitivity in wetland CH₄ emission modeling. Agricultural and Forest Meteorology, 372, 110704.
Li, M., Li, F., Malhotra, A., Knox, S. H., Stern, R., & Jackson, R. B. (2025). Key environmental and ecological variables of wetland CH₄ and CO₂ fluxes change with warming. Earth’s Future, 13(6), e2024EF005751.
Li, Z., Hong, S., Sun, Z., Cong, N., Yan, Y., Li, F., Gao, Y., Sun, Y., Chen, Y., Wang, X., & Piao, S. (2025). Turning point of direct N₂O emissions in China’s croplands dominated by reduced fertilizer usage since 2015. Agriculture, Ecosystems & Environment, 388, 109655.
Liu, H., Xiao, J., Hao, D., Li, F., Ji, F., & Chen, M. (2025). Importance of viewing angle: Hotspot effect improves the ability of satellites to track terrestrial photosynthesis. Remote Sensing of Environment, 317, 114492.
Hong, S., Li, Z., Tang, M., Li, F., Yao, Y., Yan, Y., He, M., Wang, X., Zeng, H., & Piao, S. (2025). Magnitude, distribution and temporal trend of nitrous oxide emissions from China’s natural soils over 1980–2022. Science China Earth Sciences, 388, 109655.
Zhu, Q., Jacob, D. J., Yuan, K., Li, F., Runkle, B. R., Chen, M., … & Halabisky, M. (2025). Advancements and opportunities to improve bottom–up estimates of global wetland methane emissions. Environmental Research Letters, 20(2), 023001.

2024

Li, F., Zhu, Q., Yuan, K., Ji, F., Paul, A., Lee, P., Radeloff, V. C., & Chen, M. (2024). Projecting large fires in the western US with an interpretable and accurate hybrid machine learning method. Earth’s Future, 12, e2024EF004588.
Yuan, K., Li, F., McNicol, G., Chen, M., Hoyt, A., Knox, S., Riley, W. J., Jackson, R., & Zhu, Q. (2024). Boreal–Arctic wetland methane emissions modulated by warming and vegetation activity. Nature Climate Change, 1–7.
Li, F., Hao, D., Zhu, Q., Yuan, K., Braghiere, R. K., He, L., Luo, X., Wei, S., Riley, W. J., Zeng, Y., & Chen, M. (2024). Global impacts of vegetation clumping on regulating land surface heat fluxes. Agricultural and Forest Meteorology, 345, 109820.
Ji, F., Li, F., Hao, D., Shiklomanov, A. N., Yang, X., Townsend, P. A., Dashti, H., Nakaji, T., Kovach, K. R., Liu, H., Luo, M., & Chen, M. (2024). Unveiling the transferability of PLSR models for leaf trait estimation: lessons from a comprehensive analysis with a novel global dataset. New Phytologist.
Liu, Y., Gui, Z., Xu, Y., Gao, S., Zhao, A., Meng, F., Peng, D., Li, F., Bo, L., Wu, H., & Gong, J. (2024). Profiling mobility patterns and driving behaviors of individual drivers via trajectory trait. The Innovation Geoscience, 3(1), 100114-1.
Zhu, Q., Yuan, K., Li, F., Riley, W. J., Hoyt, A., Jackson, R., … & Zhuang, Q. (2024). Critical needs to close monitoring gaps in pan-tropical wetland CH4 emissions. Environmental Research Letters, 19(11), 114046.
Gui, Z., Liu, X., Zhao, A., Jiang, Y., Ling, Z., Hu, X., Li, F., Yang, Z., Wu, H., & Zhao, S. (2024). Map retrieval intention recognition based on relevance feedback and geographic semantic guidance: For better understanding user retrieval demands. Information Processing & Management, 61(4), 103767.
Dong, G., Li, R., Li, F., Liu, Z., Wu, H., Xiang, L., … & Li, F. (2024). Differences in Urban Development in China from the Perspective of Point of Interest Spatial Co-Occurrence Patterns. ISPRS International Journal of Geo-Information, 13(1), 24.

2023

Li, F., Hao, D., Zhu, Q., Yuan, K., Braghiere, R. K., He, L., Luo, X., Wei, S., Riley, W. J., Zeng, Y., & Chen, M. (2023). Vegetation clumping modulates global photosynthesis through adjusting canopy light environment. Global Change Biology, 29(3), 731–746.
Li, F., Zhu, Q., Riley, W., Zhao, L., Xu, L., Yuan, K., Chen, M., Wu, H., Gui, Z., Gong, J., & Randerson, J. (2023). AttentionFire v1.0: interpretable machine learning fire model for burned-area predictions over the tropics. Geoscientific Model Development, 16(3), 869–884.
Zeng, Y., Hao, D., Park, T., Zhu, P., Huete, A., Myneni, R., Knyazikhin, Y., Qi, J., Nemani, R. R., Li, F., et al. (2023). Structural complexity biases vegetation greenness measures. Nature Ecology & Evolution, 7(11), 1790–1798.
Luo, M., Li, F., Hao, D., Zhu, Q., Dashti, H., & Chen, M. (2023). Uncertain spatial pattern of future land use and land cover change and its impacts on terrestrial carbon cycle over the Arctic–Boreal region of North America. Earth’s Future, 11(10), e2023EF003648.

2022

Li, F., Zhu, Q., Riley, W. J., Yuan, K., Wu, H., & Gui, Z. (2022). Wetter California projected by CMIP6 models with observational constraints under a high GHG emission scenario. Earth’s Future, 10(4), e2022EF002694.
Yuan, K., Zhu, Q., Li, F., Riley, W. J., Torn, M., Chu, H., v. G., Chen, M., Knox, S., Delwiche, K., Wu, H., et al. (2022). Causality-guided machine learning model on wetland CH₄ emissions across global wetlands. Agricultural and Forest Meteorology, 324, 109115.
Zhu, Q., Li, F., Riley, W. J., Xu, L., Zhao, L., Yuan, K., Wu, H., Gong, J., & Randerson, J. (2022). Building a machine learning surrogate model for wildfire activities within a global Earth system model. Geoscientific Model Development, 15(5), 1899–1911.
Li, L., Li, X., Asrar, G., Zhou, Y., Chen, M., Zeng, Y., Li, X.,Li, F., Luo, M., Sapkota, A., & Hao, D. (2022). Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State. International Journal of Applied Earth Observation and Geoinformation, 110, 102815.
Yuan, K., Zhu, Q., Riley, W. J., Li, F., & Wu, H. (2022). Understanding and reducing the uncertainties of land surface energy flux partitioning within CMIP6 land models. Agricultural and Forest Meteorology, 319, 108920.

2021 and earlier

Yuan, K., Zhu, Q., Zheng, S., Zhao, L., Chen, M., Riley, W. J., Cai, X., Ma, H., Li, F., Wu., H., & Chen, L. (2021). Deforestation reshapes land-surface energy-flux partitioning. Environmental Research Letters, 16(2), 024014.
Wu, G., Cai, X., Keenan, T. F., Li, S., Luo, X., Fisher, J. B., Cao, R., Li, F., Purdy, A.J., Zhao, W., Sun, X., & Hu, Z. (2020). Evaluating three evapotranspiration estimates from model of different complexity over China using the ILAMB benchmarking system. Journal of Hydrology, 590, 125553.
Gui, Z., Sun, Y., Yang, L., Peng, D., Li, F., Wu, H., Guo, C., Guo, W., & Gong, J. (2021). LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction. Neurocomputing, 440, 72–88.
Li, F., Gui, Z., Zhang, Z., Peng, D., Tian, S., Yuan, K., Sun, Z., Wu, H., Gong, J., & Lei, Y. (2020). A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction. Neurocomputing, 403, 153–166.
Li, F., Gui, Z., Wu, H., Gong, J., Wang, Y., Tian, S., & Zhang, J. (2018). Big enterprise registration data imputation: Supporting spatiotemporal analysis of industries in China. Computers, Environment & Urban Systems, 70, 9–23.