Chengyue Zhang
Dados Biográficos
| ID | 4417868 |
|---|---|
| NOME | Chengyue Zhang |
| PRENOMES | Chengyue |
| SOBRENOME | Zhang |
| ASSINATURA | ZHANG C |
| AFILIAÇÕES | Phillips Exeter Academy |
| ORCID | 0009-0007-4466-8845 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2023 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Revisiting urban scaling through street-based hotspots across 360 Chinese cities
Disease burden comparison and associated risk factors of early- and late-onset neonatal sepsis in China and the USA, 1990–2019
BACKGROUND: The morbidity and mortality rates of neonatal sepsis are high, with significant differences in risk factors and disease burden observed between developing and developed countries. OBJECTIVE: To provide evidence to support recommendations on improving public health policies using a comparative systematic analysis of the disease burden. METHODS: Using data from the Global Burden of Disease Study 2019, the prevalence and incidence of ear…
Characterizing gender stereotypes in popular fiction
Gender representation portrayed in popular mass media is known to reflect and reinforce societal gender stereotypes. This research uses two methods of natural language processing–Word2Vec and bidirectional encoder representations from transformers (BERT) model–to analyze gender representation in popular fiction and quantify gender bias with gender bias score. Word2Vec, which represents the words in vectorized format, can capture implicit human ge…
Sem obras proeminentes nesta página.
Characterizing gender stereotypes in popular fiction
Gender representation portrayed in popular mass media is known to reflect and reinforce societal gender stereotypes. This research uses two methods of natural language processing–Word2Vec and bidirectional encoder representations from transformers (BERT) model–to analyze gender representation in popular fiction and quantify gender bias with gender bias score. Word2Vec, which represents the words in vectorized format, can capture implicit human ge…
Disease burden comparison and associated risk factors of early- and late-onset neonatal sepsis in China and the USA, 1990–2019
BACKGROUND: The morbidity and mortality rates of neonatal sepsis are high, with significant differences in risk factors and disease burden observed between developing and developed countries. OBJECTIVE: To provide evidence to support recommendations on improving public health policies using a comparative systematic analysis of the disease burden. METHODS: Using data from the Global Burden of Disease Study 2019, the prevalence and incidence of ear…
Revisiting urban scaling through street-based hotspots across 360 Chinese cities
Geography (3 obras) · China (2 obras) · Archaeology (1 obras) · Artificial Intelligence (1 obras) · Burden of disease (1 obras) · Computer Science (1 obras) · Context (archaeology (1 obras) · Data science (1 obras) · Developing country (1 obras) · Disease (1 obras)