Huiling Yuan
Biographic Data
| ID | 7975801 |
|---|---|
| NAME | Huiling Yuan |
| GIVEN NAMES | Huiling |
| FAMILY NAME | Yuan |
| SIGNATURE | YUAN H |
| AFFILIATIONS | Northwest University |
| ORCID | 0000-0002-0654-0396 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Unraveling the core symptoms of mental health in senior grade three students- a network analysis
These findings can deepen the knowledge of mental health among senior grade three students and provide some implications (i.e., targeting symptoms having highest expected influence) for clinical prevention and intervention to address the mental health needs of this particular group
Evaluation of the impact of the Covid-19 pandemic on health service utilization in China
Background: The outbreak of COVID-19 in early 2020 presented a major challenge to the healthcare system in China. This study aimed to quantitatively evaluate the impact of COVID-19 on health services utilization in China in 2020. Methods: Health service-related data for this study were extracted from the China Health Statistical Yearbook. The Auto-Regressive Integrated Moving Average model (ARIMA) was used to forecast the data for the year 2020 b…
Offshore wind resource assessment by characterizing weather regimes based on self-organizing map
As offshore wind power is continuously integrated into the electric power systems in around the world, it is critical to understand its variability. Weather regimes (WRs) can provide meteorological explanations for fluctuations in wind power. Instead of relying on traditional large-scale circulation WRs, this study focuses on assessing the dependency of wind resources on WRs in the tailored region clustered based on the finer spatial scale. For t…
No prominent works on this page.
Offshore wind resource assessment by characterizing weather regimes based on self-organizing map
As offshore wind power is continuously integrated into the electric power systems in around the world, it is critical to understand its variability. Weather regimes (WRs) can provide meteorological explanations for fluctuations in wind power. Instead of relying on traditional large-scale circulation WRs, this study focuses on assessing the dependency of wind resources on WRs in the tailored region clustered based on the finer spatial scale. For t…
Evaluation of the impact of the Covid-19 pandemic on health service utilization in China
Background: The outbreak of COVID-19 in early 2020 presented a major challenge to the healthcare system in China. This study aimed to quantitatively evaluate the impact of COVID-19 on health services utilization in China in 2020. Methods: Health service-related data for this study were extracted from the China Health Statistical Yearbook. The Auto-Regressive Integrated Moving Average model (ARIMA) was used to forecast the data for the year 2020 b…
Unraveling the core symptoms of mental health in senior grade three students- a network analysis
These findings can deepen the knowledge of mental health among senior grade three students and provide some implications (i.e., targeting symptoms having highest expected influence) for clinical prevention and intervention to address the mental health needs of this particular group
Geography (2 works) · Anxiety (1 works) · Autoregressive integrated moving average (1 works) · Beijing (1 works) · China (1 works) · Climatology (1 works) · Clinical Psychology (1 works) · Clinical Psychology (1 works) · Complementarity (molecular biology (1 works) · Computer Science (1 works)