Zihe Zhang
Biographic Data
| ID | 5922223 |
|---|---|
| NAME | Zihe Zhang |
| GIVEN NAMES | Zihe |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG Z |
| AFFILIATIONS | Duke University, Durham, North Carolina, USA |
| ORCID | 0000-0001-6571-0159 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Unmasking Media Narratives
Identification of depressive symptoms in adolescents using machine learning combining childhood and adolescence features
This study demonstrates the correlation between adolescence depressive symptoms and specific factors from both childhood and adolescence, as well as the potential of ML to predict it. These findings may serve as a reference for future intervention studies
Envisioning shared autonomous vehicles (SAVs) for 374 small and medium-sized urban areas in the United States
Title Nau
This research investigates the impact of Title IX on women's education in the U.S. and how a comparable policy in India could improve women's education in India. The existing education policies in the U.S. and India were thoroughly reviewed to understand the impact of Title IX on female education over the past 40 years and to recognize gaps in Indian policy. Data from the U.S. Census Bureau, NSF through WebCASPAR and the India Ministry of Human R…
No prominent works on this page.
Title Nau
This research investigates the impact of Title IX on women's education in the U.S. and how a comparable policy in India could improve women's education in India. The existing education policies in the U.S. and India were thoroughly reviewed to understand the impact of Title IX on female education over the past 40 years and to recognize gaps in Indian policy. Data from the U.S. Census Bureau, NSF through WebCASPAR and the India Ministry of Human R…
Identification of depressive symptoms in adolescents using machine learning combining childhood and adolescence features
This study demonstrates the correlation between adolescence depressive symptoms and specific factors from both childhood and adolescence, as well as the potential of ML to predict it. These findings may serve as a reference for future intervention studies
Envisioning shared autonomous vehicles (SAVs) for 374 small and medium-sized urban areas in the United States
Unmasking Media Narratives
Anxiety (1 work) · Biostatistics (1 work) · Business (1 work) · Census (1 work) · Child and Adolescent Psychosocial and Emotional Development (1 work) · Christian ministry (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · Demography (1 work) · Demography (1 work) · Depressive symptoms (1 work)