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National Bureau of Statistics of China | Researchclopedia

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National Bureau of Statistics of China

Beijingother

738

Works

20,865

Citations

68

h-index

Top Research Topics

Regional Economic and Spatial Analysis Global Maternal and Child Health Energy, Environment, Economic Growth

Top Researchers

Jun Lin Shanghai Jiao Tong University

1,169 works85,935 citationsh-index: 149

Recent Research

Optimizing Waterbird Conservation in Urban Reservoirs: A Phenology-Synchronized Water Level Management Framework for Biodiversity Enhancement

Xi Xu,Weimin Wang,et al.

20260 citations

China's Socioeconomic Reforms and Governance

Traffic Prediction and Management Techniques

Infrastructure Maintenance and Monitoring

Remote Sensing and Land Use

Demographic Trends and Gender Preferences

Environmental Quality and Pollution

Economic Growth and Productivity

Income, Poverty, and Inequality

Global Health Care Issues

Yudong Zhang First Affiliated Hospital of Guangzhou Medical University

1,480 works42,958 citationsh-index: 107

Xi‐Nian Zuo Beijing Normal University

358 works42,177 citationsh-index: 77

Wen‐Quan Tao Xi'an Jiaotong University

925 works33,734 citationsh-index: 92

Changqing Zhang Qingdao University

928 works30,827 citationsh-index: 79

Gang Li Xi'an University of Science and Technology

1,340 works28,334 citationsh-index: 81

What stole Chinese older adults’ life satisfaction? Integrating medical statistics and machine learning with a life-course perspective using CHARLS data

Jing Zhao,Yaya Wang,et al.

20260 citations

Bayesian dynamic panel-ordered probit model with individual heterogeneity

Lei Shi,Yixin Zhang

20260 citations

The paradox of food production, expenditure, poverty and stunting in Tanzania: an ecological study design

Novatus Tesha,Malale Tungu,et al.

20260 citations

Determinants and prediction of home nursing utilization among older adults in China: an integration of logistic regression and XGBoost algorithm

Jing Zhao,XiaoFei Du,et al.

20260 citations

A two-step structural equation modeling and explainable machine learning framework for understanding university students’ adoption of generative AI: balancing intrinsic motivations and perceived risks

Daixing Zeng,Xiaoqin Xu,et al.

20260 citations