Yuanjun Chen
Dados Biográficos
| ID | 7515708 |
|---|---|
| NOME | Yuanjun Chen |
| PRENOMES | Yuanjun |
| SOBRENOME | Chen |
| ASSINATURA | CHEN Y |
| AFILIAÇÕES | Qinghai New Energy (China) |
| ORCID | 0000-0003-4465-3583 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2025 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Energy-efficient electrified ethylene synthesis in CO-starved environment
Extreme hydrological events over the past 36.4 kyr recorded in Xitaijnar Saline Lake, central Qaidam Basin, Northern Tibetan Plateau
Association between insecticide exposomics and cognitive function in older adults
Objective This study aims to investigate the association between exposure to insecticide exposomics and cognitive function, among adults aged 60 and above. Methods We employed a multi-stage probability sampling method to analyze data derived from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2014. The study investigated the impact of insecticides exposure on cognitive performance, as measured by the Cons…
Interpretable machine learning model for cardiovascular disease risk prediction
We have developed an ML model for predicting the risk of CVDs. This model shows potential to assist clinicians in identifying high-risk patients and providing a theoretical basis for personalized preventive healthcare measures
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Association between insecticide exposomics and cognitive function in older adults
Objective This study aims to investigate the association between exposure to insecticide exposomics and cognitive function, among adults aged 60 and above. Methods We employed a multi-stage probability sampling method to analyze data derived from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2014. The study investigated the impact of insecticides exposure on cognitive performance, as measured by the Cons…
Interpretable machine learning model for cardiovascular disease risk prediction
We have developed an ML model for predicting the risk of CVDs. This model shows potential to assist clinicians in identifying high-risk patients and providing a theoretical basis for personalized preventive healthcare measures
Energy-efficient electrified ethylene synthesis in CO-starved environment
Extreme hydrological events over the past 36.4 kyr recorded in Xitaijnar Saline Lake, central Qaidam Basin, Northern Tibetan Plateau
Antioxidant Activity and Oxidative Stress (1 obras) · Artificial Intelligence in Healthcare (1 obras) · Biostatistics (1 obras) · Carbon fibers (1 obras) · Carbon Footprint (1 obras) · Carbon monoxide (1 obras) · Catalysts for Methane Reforming (1 obras) · Climate change (1 obras) · CO2 Reduction Techniques and Catalysts (1 obras) · Cognition (1 obras)