Chuanming Ma

jilin animation institute

H指数:17

被引数:1,117

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Landslide susceptibility modelling with solely DEM-derived indicators: a data-efficient and explainable framework

仅基于数字高程模型衍生指标的滑坡易发性建模：一种数据高效且可解释的框架

Geocarto International

IF3.5

2026-08-040

The impact of silicon-modified biochar on carbon sequestration pathways in saline-alkali soil under different pyrolysis temperatures

硅改性生物炭对盐碱土碳封存途径在不同热解温度下的影响

Journal of Soils and Sediments

IF3

2026-07-210

PRE

Uncovering the dynamic role of bedrock-stored water in ecosystem evapotranspiration

揭示基岩储水在生态系统蒸散中的动态作用

Journal of Hydrology

IF6.3

2026-01-190

PRE

Deep learning-based color optimization and style transfer model for artistic portrait enhancement with facial identity retention

基于深度学习的色彩优化与风格迁移模型，用于保持面部身份特征的艺术人像增强

Journal of the Chinese Institute of Engineers

IF1.2

2026-01-010

PRE

Spatial prediction of groundwater nitrate by explainable machine learning models and remote sensing indicators under conditions of imbalanced datasets

利用可解释机器学习模型和遥感指标在数据不平衡条件下的地下水硝酸盐空间预测

Geocarto International

IF3.5

2025-09-140

Probabilistic mapping of imbalanced data for groundwater contamination using classification algorithms: Performance and reliability

利用分类算法对地下水污染中的不平衡数据进行概率映射：性能与可靠性

sustainable development

IF5.6

2025-02-010

PRE

Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis

COMPUTERS & GEOSCIENCES

IF4.4

2024-11-013

PRE

Spatial Mapping and Prediction of Groundwater Quality Using Ensemble Learning Models and SHapley Additive exPlanations with Spatial Uncertainty Analysis

使用集成学习模型和带有空间不确定性分析的SHapley加法解释对地下水质量进行空间映射和预测

WATER

IF3

2024-08-244

Genesis of Geothermal Waters in Zhongshan City, China: Hydrochemical and H-O-C Isotopic Implications

WATER

IF3

2024-06-210

Effects of DEM resolution and application of solely DEM-derived indicators on groundwater potential mapping in the mountainous area

DEM分辨率的影响和仅DEM衍生指标的应用对山区地下水潜力制图的影响

JOURNAL OF HYDROLOGY

IF6.3

2024-06-013

PRE

Landslide Susceptibility Assessment and Future Prediction with Land Use Change and Urbanization towards Sustainable Development: The Case of the Li River Valley in Yongding, China

SUSTAINABILITY

IF3.3

2024-05-235

A hybrid model to overcome landslide inventory incompleteness issue for landslide susceptibility prediction

GEOCARTO INTERNATIONAL

IF3.5

2024-03-062

Sustainable groundwater management in coastal cities: Insights from groundwater potential and vulnerability using ensemble learning and knowledge-driven models

JOURNAL OF CLEANER PRODUCTION

IF10

2024-02-017

PRE

Sustainable development assessment of ecological vulnerability in arid areas under the influence of multiple indicators

JOURNAL OF CLEANER PRODUCTION

IF10

2024-01-017

PRE

Spatial prediction of groundwater potential by various novel boosting-based ensemble learning models in mountainous areas

通过各种新颖的基于boosting的集成学习模型对山区地下水潜力进行空间预测

GEOCARTO INTERNATIONAL

IF3.5

2023-11-028

Designing dynamic groundwater management strategies through a composite groundwater vulnerability model: Integrating human-related parameters into the DRASTIC model using LightGBM regression and SHAP analysis

通过复合地下水脆弱性模型设计动态地下水管理策略: 使用LightGBM回归和SHAP分析将与人类相关的参数集成到DRASTIC模型中

ENVIRONMENTAL RESEARCH

IF7.7

2023-11-0110

PRE

An integrated approach combining LISA, BI-LISA, and the modified COPK method to improve groundwater management in large-scale karst areas

JOURNAL OF HYDROLOGY

IF6.3

2023-10-015

PRE

Assessment of urban flooding vulnerability based on AHP-PSR model: a case study in Jining City, China

GEOCARTO INTERNATIONAL

IF3.5

2023-09-054

Groundwater Function Zoning for Groundwater Management Based on RSF, EEF, and GEF in the Plain of the Central Plains Urban Agglomeration, China

WATER

IF3

2023-09-040

Evaluation of Jining mining subsidence susceptibility based on three multiple-criteria decision analysis methods

GEOCARTO INTERNATIONAL

IF3.5

2023-08-214

Chuanming Ma

个人简介

教育背景

工作经历

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