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Rongyun Tang · SciRah

Researcher profile · Semantic Scholar

Rongyun Tang

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Rongyun Tang — researcher profile on SciRah

h-index: 6
Works: 11
Citations: 151

Most-cited papers

Impact of Urbanization and Climate on Vegetation Coverage in the Beijing-Tianjin-Hebei Region of China
Qiang Zhou, Xiang Zhao, Donghai Wu, Rongyun Tang +5 more
2019Remote Sensing38 citations Open access
Semantic Scholar
Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades
Anping Chen, Rongyun Tang, J. Mao, C. Yue +8 more
202035 citations Open access
Semantic Scholar
Interannual variability and climatic sensitivity of global wildfire activity
Rongyun Tang, J. Mao, Ming-Zhou Jin, Anping Chen +6 more
2021Advances in Climate Change Research23 citations Open access
Semantic Scholar
Assessing the Impacts of Urbanization on Albedo in Jing-Jin-Ji Region of China
Rongyun Tang, Xiang Zhao, Tao Zhou, B. Jiang +2 more
2018Remote Sensing21 citations Open access
Semantic Scholar
Global fire modelling and control attributions based on the ensemble machine learning and satellite observations
Yulong Zhang, J. Mao, D. Ricciuto, Ming-Zhou Jin +5 more
2023Science of Remote Sensing17 citations Open access
Semantic Scholar
Evaluating the effects of heatwave events on hydrological processes in the contiguous United States (2003–2022)
Yue-Feng Hao, Jia-Fu Mao, Mingzhou Jin, Yao-Ping Wang +2 more
2024Journal of Hydrology10 citations Open access
Semantic Scholar
Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0
Rongyun Tang, Ming-Zhou Jin, Jia-Fu Mao, D. Ricciuto +2 more
2024Geoscientific Model Development4 citations Open access
Semantic Scholar
Effects of Drought Disturbance on Forest Biomass in Southwestern China
Hong Wei, Xiang Zhao, Tao Zhou, Ling Du +4 more
20162 citations Open access
Semantic Scholar
TSECfire v1.0: Quantifying Wildfire Drivers and Predictability in Boreal Peatlands Using a Two-Step Error-Correcting Machine Learning Framework
Rongyun Tang, Ming-Zhou Jin, J. Mao, D. Ricciuto +2 more
20231 citations
Semantic Scholar
Depth-dependent hydrological and substrate dynamics enhance methane modeling and inform water management in rice systems
Rongyun Tang, Bonan Li, B. Moreno-García, E. Tajfar +5 more
2026Agricultural and Forest Meteorology0 citations Open access
Semantic Scholar
Quantifying wildﬁre drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0
Rongyun Tang, Ming-Zhou Jin, Jia-Fu Mao, D. Ricciuto +2 more
0 citations
Semantic Scholar

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