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Lei Fang

Quantifying influences and relative importance of fire weather, topography, and vegetation on fire size and fire severity in a Chinese boreal forest landscape
2015 · Lei Fang, Jian Yang, et al. · Forest Ecology and Management · 134
A novel multivariate time series prediction of crucial water quality parameters with Long Short-Term Memory (LSTM) networks
2023 · Zhenyu Gao, Jinyue Chen, et al. · Journal of Contaminant Hydrology · 79
Predicting Potential Fire Severity Using Vegetation, Topography and Surface Moisture Availability in a Eurasian Boreal Forest Landscape
2018 · Lei Fang, Jian Yang, et al. · Forests · 74
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Few large trees, rather than plant diversity and composition, drive the above-ground biomass stock and dynamics of temperate forests in northeast China
2020 · Zuoqiang Yuan, Arshad Ali, et al. · Forest Ecology and Management · 62
Long-Term Land Cover Dynamics (1986–2016) of Northeast China Derived from a Multi-Temporal Landsat Archive
2019 · Yuanyuan Zhao, Duole Feng, et al. · Remote Sensing · 46
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Assessing Ecosystem Services from the Forestry-Based Reclamation of Surface Mined Areas in the North Fork of the Kentucky River Watershed
2018 · Kumari Gurung, Jian Yang, et al. · Forests · 40
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Atmospheric effects on the performance and threshold extrapolation of multi-temporal Landsat derived dNBR for burn severity assessment
2014 · Lei Fang, Jian Yang · International Journal of Applied Earth Observation and Geoinformation · 36
Combining allometry and landsat-derived disturbance history to estimate tree biomass in subtropical planted forests
2019 · Lei Fang, Jian Yang, et al. · Remote Sensing of Environment · 27
Evolutionary trends and analysis of the driving factors of Ulva prolifera green tides: A study based on the random forest algorithm and multisource remote sensing images
2024 · Wenlong Hou, Jinyue Chen, et al. · Marine Environmental Research · 26
Wind speed and relative humidity influence spatial patterns of burn severity in boreal forests of northeastern China
2018 · Zhiwei Wu, Hong S. He, et al. · Annals of Forest Science · 25
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Disentangling the Influential Factors Driving NPP Decrease in Shandong Province: An Analysis from Time Series Evaluation Using MODIS and CASA Model
2024 · Guangyu Lv, Xuan Li, et al. · Remote Sensing · 22
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Fire danger forecasting using machine learning-based models and meteorological observation: a case study in Northeastern China
2023 · Zhenyu Chen, Chen Zhang, et al. · Multimedia Tools and Applications · 17
Competition and Burn Severity Determine Post-Fire Sapling Recovery in a Nationally Protected Boreal Forest of China: An Analysis from Very High-Resolution Satellite Imagery
2019 · Lei Fang, Ellen V. Crocker, et al. · Remote Sensing · 15
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Remote sensing identification and model-based prediction of harmful algal blooms in inland waters: Current insights and future perspectives
2025 · Wanting Wang, Guoqiang Wang, et al. · Water Research X · 13
Assessing wildfire risk and mitigation strategies in Qipanshan, China
2022 · Xuezheng Zong, Xiaorui Tian, et al. · International Journal of Disaster Risk Reduction · 13
Effects of meteorological factors on the defoliation dynamics of the larch caterpillar (Dendrolimus superans Butler) in the Great Xing’an boreal forests
2021 · Lei Fang, Yue Yu, et al. · Journal of Forestry Research · 12
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Aquaculture Ponds Identification Based on Multi-Feature Combination Strategy and Machine Learning from Landsat-5/8 in a Typical Inland Lake of China
2024 · Gang Xie, Xiaohui Bai, et al. · Remote Sensing · 10
Improved CASA-Based Net Ecosystem Productivity Estimation in China by Incorporating Developmental Factors into Autumn Phenology Model
2025 · Shuping Ji, Shilong Ren, et al. · Remote Sensing · 8
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Disturbance types play a key role in post-disturbance vegetation recovery in boreal forests of Northeast China
2024 · Yue Yu, Zhihua Liu, et al. · Ecological Indicators · 8
Spatiotemporal dynamics and future predictions of ecosystem service synergies and trade-offs in China
2026 · Xiaohui Bai, Shilong Ren, et al. · Environmental Research · 7
Kalman filtering assimilated machine learning methods significantly improve the prediction performance of water quality parameters
2025 · Zhenyu Gao, Guoqiang Wang, et al. · Ecological Informatics · 7
Identification of Salt Marsh Vegetation in the Yellow River Delta Using UAV Multispectral Imagery and Deep Learning
2025 · Xiaohui Bai, Changzhi Yang, et al. · Drones · 7
Cropland heterogeneity changes on the Northeast China Plain in the last three decades (1980s–2010s)
2020 · Xiaoxuan Liu, Le Yu, et al. · PeerJ · 7
Influencing factors of seed long-distance dispersal on a fragmented forest landscape on Changbai Mountains, China
2015 · Fuqiang Zhao, Lin Qi, et al. · Chinese Geographical Science · 7
[Spatio-temporal characteristics of forest fires in China between 2001 and 2017].
2020 · Ze-Yu Qiao, Lei Fang, et al. · PubMed · 5
Works count: 40
Citation count: 719
H-index: 13
I10-index: 17
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