Lei Fang

environment research institute

H指数:13

被引数:697

个人简介

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教育背景

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Estimation, variations, and impact factors of high-resolution global daily near-surface CO2 during 2015–2021 based on OCO-2 and machine learning

基于OCO-2和机器学习的2015–2021年全球高分辨率日尺度近地表CO2浓度估算、变化及影响因子

Frontiers of Environmental Science & Engineering

IF6.4

2026-09-060

PRE

Calibration and band ratio selection strategy for remote sensing models for chlorophyll a estimation in waterbodies using integrated decision tree approaches

INLAND WATERS

IF2.3

2026-01-220

PRE

Precise urban tree species identification and biomass estimation using UAV–Handheld LiDAR Synergy and YOLOv11 deep learning

利用UAV–手持LiDAR协同与YOLOv11深度学习进行精确的城市树种识别与生物量估算

International Journal of Applied Earth Observation and Geoinformation

IF8.6

2026-01-060

OAAI

FCLG-Net: frequency multi-angle compensation and low-resolution guided network for pavement crack segmentation

FCLG-Net：频率多角度补偿和低分辨率引导网络用于路面裂缝分割

SIGNAL IMAGE AND VIDEO PROCESSING

IF2.1

2025-12-050

PRE

Hyperspectral modeling of colored dissolved organic matter (CDOM):Insights from machine learning and band ratio models

有色溶解性有机物(CDOM)的高光谱建模：机器学习和波段比模型的研究洞察

Estuarine, Coastal and Shelf Science

IF0

2025-10-070

PRE

Residual guided and cross-level feature interaction network for substation anomaly detection

残差引导与跨层级特征交互网络用于变电站异常检测

Electric Power Systems Research

IF4.2

2025-09-170

PRE

Intelligent dust suppression equipment in high-altitude tunnels: Optimizing spray droplet dispersion in plateau environments for enhanced environmental protection

高海拔隧道中的智能降尘设备：优化高原环境下的喷雾液滴分散，以增强环境保护

Process Safety and Environmental Protection

IF7.8

2025-08-070

PRE

Kalman filtering assimilated machine learning methods significantly improve the prediction performance of water quality parameters

卡尔曼滤波同化机器学习方法显著提高了水质参数的预测性能

Ecological Informatics

IF7.3

2025-07-210

OAAI

Remote sensing identification and model-based prediction of harmful algal blooms in inland waters: Current insights and future perspectives

内陆水体有害藻华的遥感识别与模型预测：现状与未来展望

water research

IF8.2

2025-07-030

OAAI

Mechanical behaviors and permeability characteristics of granite considering through-crack inclination and seepage gas pressure

考虑过裂倾角和渗流瓦斯压力的花岗岩力学行为及渗透特性

THEORETICAL AND APPLIED FRACTURE MECHANICS

IF5.6

2025-04-010

PRE

Drivers of Structural and Functional Resilience Following Extreme Fires in Boreal Forests of Northeast China

FIRE-SWITZERLAND

IF2.7

2025-03-100

Deformation and permeability of fractured rocks using fluid-solid coupling under loading-unloading conditions

加载-卸载条件下流体-固体耦合作用下断裂岩石的变形与渗透性

Journal of Rock Mechanics and Geotechnical Engineering

IF10.2

2024-11-190

OAAI

Disturbance types play a key role in post-disturbance vegetation recovery in boreal forests of Northeast China

ECOLOGICAL INDICATORS

IF7.4

2024-11-011

OAAI

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

MARINE ENVIRONMENTAL RESEARCH

IF3.2

2024-06-015

PRE

A novel multivariate time series prediction of crucial water quality parameters with Long Short-Term Memory (LSTM) networks

基于长短期记忆 (LSTM) 网络的关键水质参数多变量时间序列预测

JOURNAL OF CONTAMINANT HYDROLOGY

IF4.4

2023-11-0123

PRE

Fire danger forecasting using machine learning-based models and meteorological observation: a case study in Northeastern China

基于机器学习模型和气象观测的火灾危险性预测 -- 以中国东北地区为例

MULTIMEDIA TOOLS AND APPLICATIONS

IF3

2023-06-0112

PRE

Assessing wildfire risk and mitigation strategies in Qipanshan, China

中国七盘山野火风险评估及缓解策略

INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION

IF4.5

2022-10-019

PRE

Few large trees, rather than plant diversity and composition, drive the above-ground biomass stock and dynamics of temperate forests in northeast China

FOREST ECOLOGY AND MANAGEMENT

IF3.7

2021-02-0145

PREAI

Effects of meteorological factors on the defoliation dynamics of the larch caterpillar (Dendrolimus superans Butler) in the Great Xing'an boreal forests

JOURNAL OF FORESTRY RESEARCH

IF4.6

2021-01-0611

OAAI

Combining allometry and landsat-derived disturbance history to estimate tree biomass in subtropical planted forests

结合异速测量和landsat衍生的干扰历史来估算亚热带人工林中的树木生物量

REMOTE SENSING OF ENVIRONMENT

IF11.4

2019-12-0119

OAAI

Lei Fang

个人简介

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