Mengyao Han
Biographic Data
| ID | 4609472 |
|---|---|
| NAME | Mengyao Han |
| GIVEN NAMES | Mengyao |
| FAMILY NAME | Han |
| SIGNATURE | HAN M |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0003-1136-6270 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 76 |
| WORKS AS AUTHOR | 15 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 4 |
Multi-dimensional environmental assessments of China's typical photovoltaic- and wind-driven seawater desalination in coastal areas
Energy Dilemmas
Association between machine learning-assisted heavy metal exposures and diabetic kidney disease
Background and objective Heavy metals, ubiquitous in the environment, pose a global public health concern. The correlation between these and diabetic kidney disease (DKD) remains unclear. Our objective was to explore the correlation between heavy metal exposures and the incidence of DKD. Methods We analyzed data from the NHANES (2005–2020), using machine learning, and cross-sectional survey. Our study also involved a bidirectional two-sample Mend…
Multi-dimensional low-carbon assessments of wind-driven seawater desalination system via hybrid life cycle modeling
Low‐Carbon Transition
Global climate change driven by increased human emissions of heat‐trapping greenhouse gases has gradually produced widespread economic and environmental negative effects. Low‐carbon transition refers to the processes by which a country or region changes from carbon‐intensive to renewable and cleaner low‐carbon industries and ways of life. Global climate targets have been set and methods of measuring carbon emissions that monitor the progress of l…
Integrated co-expression network analysis uncovers novel tissue-specific genes in major depressive disorder and bipolar disorder
Tissue-specific gene expression has been found to be associated with multiple complex diseases including cancer, metabolic disease, aging, etc. However, few studies of brain-tissue-specific gene expression patterns have been reported, especially in psychiatric disorders. In this study, we performed joint analysis on large-scale transcriptome multi-tissue data to investigate tissue-specific expression patterns in major depressive disorder (MDD) an…
Pastureland use of China
China’s forest land use change in the globalized world economy
The Belt and Road Initiative and the Sustainable Development Goals
Optimal allocation of direct and embodied arable land associated to urban economy
Land use balance for urban economy
Global arable land transfers embodied in Mainland China’s foreign trade
An overview of arable land use for the world economy
Global supply chain of arable land use
Virtual land use change in China 2002–2010
Virtual land use change in China 2002–2010
Global arable land transfers embodied in Mainland China’s foreign trade
An overview of arable land use for the world economy
Global supply chain of arable land use
Optimal allocation of direct and embodied arable land associated to urban economy
Land use balance for urban economy
Energy Dilemmas
Multi-dimensional low-carbon assessments of wind-driven seawater desalination system via hybrid life cycle modeling
Pastureland use of China
China’s forest land use change in the globalized world economy
Global supply chain of arable land use
Virtual land use change in China 2002–2010
Global arable land transfers embodied in Mainland China’s foreign trade
An overview of arable land use for the world economy
Land use balance for urban economy
The Belt and Road Initiative and the Sustainable Development Goals
Optimal allocation of direct and embodied arable land associated to urban economy
Pastureland use of China
China’s forest land use change in the globalized world economy
Integrated co-expression network analysis uncovers novel tissue-specific genes in major depressive disorder and bipolar disorder
Tissue-specific gene expression has been found to be associated with multiple complex diseases including cancer, metabolic disease, aging, etc. However, few studies of brain-tissue-specific gene expression patterns have been reported, especially in psychiatric disorders. In this study, we performed joint analysis on large-scale transcriptome multi-tissue data to investigate tissue-specific expression patterns in major depressive disorder (MDD) an…
Low‐Carbon Transition
Global climate change driven by increased human emissions of heat‐trapping greenhouse gases has gradually produced widespread economic and environmental negative effects. Low‐carbon transition refers to the processes by which a country or region changes from carbon‐intensive to renewable and cleaner low‐carbon industries and ways of life. Global climate targets have been set and methods of measuring carbon emissions that monitor the progress of l…
Association between machine learning-assisted heavy metal exposures and diabetic kidney disease
Background and objective Heavy metals, ubiquitous in the environment, pose a global public health concern. The correlation between these and diabetic kidney disease (DKD) remains unclear. Our objective was to explore the correlation between heavy metal exposures and the incidence of DKD. Methods We analyzed data from the NHANES (2005–2020), using machine learning, and cross-sectional survey. Our study also involved a bidirectional two-sample Mend…
Multi-dimensional low-carbon assessments of wind-driven seawater desalination system via hybrid life cycle modeling
Energy Dilemmas
Multi-dimensional environmental assessments of China's typical photovoltaic- and wind-driven seawater desalination in coastal areas
Economics (10 works) · Natural resource economics (10 works) · Environmental Impact and Sustainability (9 works) · Geography (9 works) · Business (7 works) · China (7 works) · Agricultural economics (5 works) · Land use (5 works) · Agriculture (4 works) · Arable land (4 works)