研究论文
Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China
Haizhi Luo, Chenglong Wang, Cangbai Li, Xiangzhao Meng, Xiaohu Yang, Qian Tan
Xi'an Jiaotong University Chongqing University Guangdong University of Technology
来源Applied Energy
年份2024
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逐年被引趋势
46230
24
4625
26
关键指标
101
被引次数 · OpenAlex
35.70
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.1%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
76
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学术脉络
学科主题
经济 / 管理Energy, Environment, Economic Growth
Environmental Impact and Sustainability · Land Use and Ecosystem Services
参考文献 76
Joint decisions on inventory replenishment and emission reduction investment under different emission regulations
被引 420Ayşegül Toptal, Haşim Özlü, Dinçer Konur · International Journal of Production Research · 2013
The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China
被引 574Yue‐Jun Zhang, Zhao Liu, Huan Zhang · Natural Hazards · 2014
2006 IPCC Guidelines for National Greenhouse Gas Inventories
被引 6,590Keith H. Paustian, Nijavalli H. Ravindranath, André R. van Amstel · Socio-Environmental Systems Modeling · 2006
此处列出前 3 条
引用本文 101
Exploring the key influencing factors of low-carbon innovation from urban characteristics in China using interpretable machine learning
被引 54Wentao Wang, Dezhi Li, Shenghua Zhou · Environmental Impact Assessment Review · 2024
Scenario analysis under climate extreme of carbon peaking and neutrality in China: A hybrid interpretable machine learning model prediction
被引 27Zhike Zheng, Qing Shuang · Journal of Cleaner Production · 2025
Deciphering flows: Spatial correlation characteristics and factors influencing carbon emission intensity in the Yangtze River Delta
被引 27Tiangui Lv, Qiao Zhao, Shufei Fu · Journal of Cleaner Production · 2024
按被引量排序，此处列出前 3 条