Hongbin He
Dados Biográficos
| ID | 4263583 |
|---|---|
| NOME | Hongbin He |
| PRENOMES | Hongbin |
| SOBRENOME | He |
| ASSINATURA | HE H |
| AFILIAÇÕES | Yunnan University |
| ORCID | 0000-0002-7438-0638 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2015 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 1 |
Sentiment variations affected by urban temperature and landscape across China
Understanding the ramifications of urban environments on human well-being is of increasing importance. However, extant studies often focus on specific cities, neglecting the broader national framework. Here, big data techniques were utilized to analyze >6.5 million geotagged Weibo from China in 2021. Each Weibo's sentiment was calculated using advanced deep learning-based sentiment analysis, and the effects of temperature and green spaces on sent…
Urban landscape and climate affect residents’ sentiments based on big data
How does three-dimensional landscape pattern affect urban residents' sentiments
Spatiotemporal Big Data for PM2.5 Exposure and Health Risk Assessment during Covid-19
The coronavirus disease 2019 (COVID-19) first identified at the end of 2019, significantly impacts the regional environment and human health. This study assesses PM 2.5 exposure and health risk during COVID-19, and its driving factors have been analyzed using spatiotemporal big data, including Tencent location-based services (LBS) data, place of interest (POI), and PM 2.5 site monitoring data. Specifically, the empirical orthogonal function (EOF)…
Self-regulation and Study-Related Health Outcomes
Self-regulation and Study-Related Health Outcomes
Spatiotemporal Big Data for PM2.5 Exposure and Health Risk Assessment during Covid-19
The coronavirus disease 2019 (COVID-19) first identified at the end of 2019, significantly impacts the regional environment and human health. This study assesses PM 2.5 exposure and health risk during COVID-19, and its driving factors have been analyzed using spatiotemporal big data, including Tencent location-based services (LBS) data, place of interest (POI), and PM 2.5 site monitoring data. Specifically, the empirical orthogonal function (EOF)…
Urban landscape and climate affect residents’ sentiments based on big data
How does three-dimensional landscape pattern affect urban residents' sentiments
Sentiment variations affected by urban temperature and landscape across China
Understanding the ramifications of urban environments on human well-being is of increasing importance. However, extant studies often focus on specific cities, neglecting the broader national framework. Here, big data techniques were utilized to analyze >6.5 million geotagged Weibo from China in 2021. Each Weibo's sentiment was calculated using advanced deep learning-based sentiment analysis, and the effects of temperature and green spaces on sent…
Geography (4 obras) · China (3 obras) · Urban Green Space and Health (3 obras) · Urban Heat Island Mitigation (3 obras) · Archaeology (2 obras) · Beijing (2 obras) · Cartography (2 obras) · Computer Science (2 obras) · Ecology (2 obras) · Environmental planning (2 obras)