Yannan Wang
Biographic Data
| ID | 8002580 |
|---|---|
| NAME | Yannan Wang |
| GIVEN NAMES | Yannan |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Y |
| AFFILIATIONS | General Hospital of Shenyang Military Region |
| ORCID | 0000-0001-7248-4954 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The prediction and impact of self-criticism on non-suicidal self-injury in adolescents: A study based on machine learning
This study uniquely combines machine learning with structural equation modeling to investigate how self-criticism affects non-suicidal self-injury (NSSI) behaviors in adolescents. Using a Support Vector Machine (SVM) for binary classification (distinguishing NSSI presence/absence) and XGBRegressor for regression (predicting NSSI severity), with self-criticism, emotional regulation difficulties, and public self-consciousness as key predictors, the…
Global trends in disease burdens attributable to ambient and household air pollution: A comparative study of ten populous countries
Objectives To comparatively assess the disease burden attributable to ambient particulate matter (APM) and household air pollution (HAP) across the ten most populous countries between 1990 and 2021. Methods Data on disability-adjusted life years (DALYs) and age-standardized DALY rates (ASDRs) attributable to APM and HAP were obtained from the Global Burden of Disease Study 2021. Estimated annual percentage change (EAPC) was used to evaluate tempo…
Estimating the Material Footprint at the National Level from 1993 to 2022 Based on Multi-Feature CNN-BiLSTM
Global environmental issues are becoming increasingly serious. As a comprehensive indicator of environmental pressure, the material footprint reflects changing pressures amidst sustainable resource utilization. In this research, we conducted a time series prediction of material footprint using the Multi-Feature CNN-BiLSTM model and analyzed the material footprints of 77 countries or regions as well as four types of influencing factors from 1993 t…
Biosecurity from non-native insects in Belt and Road countries: The role of donor–receiver patterns and human activity
The Belt and Road Initiative (BRI), as a green development initiative, highlights the importance of regional cooperation among participating countries to address the possibility of non-native organisms. We created a database of 8655 non-native insect records from 3059 non-native insect species of 312 families to better understand invasion vulnerability. Results showed that Coleoptera, Hemiptera, and Hymenoptera dominated, comprising 72.54% of all…
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Global trends in disease burdens attributable to ambient and household air pollution: A comparative study of ten populous countries
Objectives To comparatively assess the disease burden attributable to ambient particulate matter (APM) and household air pollution (HAP) across the ten most populous countries between 1990 and 2021. Methods Data on disability-adjusted life years (DALYs) and age-standardized DALY rates (ASDRs) attributable to APM and HAP were obtained from the Global Burden of Disease Study 2021. Estimated annual percentage change (EAPC) was used to evaluate tempo…
Estimating the Material Footprint at the National Level from 1993 to 2022 Based on Multi-Feature CNN-BiLSTM
Global environmental issues are becoming increasingly serious. As a comprehensive indicator of environmental pressure, the material footprint reflects changing pressures amidst sustainable resource utilization. In this research, we conducted a time series prediction of material footprint using the Multi-Feature CNN-BiLSTM model and analyzed the material footprints of 77 countries or regions as well as four types of influencing factors from 1993 t…
Biosecurity from non-native insects in Belt and Road countries: The role of donor–receiver patterns and human activity
The Belt and Road Initiative (BRI), as a green development initiative, highlights the importance of regional cooperation among participating countries to address the possibility of non-native organisms. We created a database of 8655 non-native insect records from 3059 non-native insect species of 312 families to better understand invasion vulnerability. Results showed that Coleoptera, Hemiptera, and Hymenoptera dominated, comprising 72.54% of all…
The prediction and impact of self-criticism on non-suicidal self-injury in adolescents: A study based on machine learning
This study uniquely combines machine learning with structural equation modeling to investigate how self-criticism affects non-suicidal self-injury (NSSI) behaviors in adolescents. Using a Support Vector Machine (SVM) for binary classification (distinguishing NSSI presence/absence) and XGBRegressor for regression (predicting NSSI severity), with self-criticism, emotional regulation difficulties, and public self-consciousness as key predictors, the…
Geography (2 works) · Air pollution (1 works) · Air Quality and Health Impacts (1 works) · Animal and Plant Science Education (1 works) · Archaeology (1 works) · Artificial Intelligence (1 works) · Binary classification (1 works) · Biology (1 works) · Biosecurity (1 works) · Burden of disease (1 works)