Ruxin Zhu
Biographic Data
| ID | 72889 |
|---|---|
| NAME | Ruxin Zhu |
| GIVEN NAMES | Ruxin |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU R |
| AFFILIATIONS | Hong Kong Polytechnic University |
| ORCID | 0000-0002-9965-0948 |
| VERIFIED | Yes |
| TOTAL WORKS | 34 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 34 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Rooftop photovoltaic-powered electric vehicle charging for accelerated decarbonization
How well do street view images predict crime rates in London? A comparison with social and macro-level environmental features
In research on the causes of crime, geographic context is considered important in relation to how neighbourhood features influence crime. These features include the social and physical environmental features. Historically, measuring the impact of the physical environment – especially its micro-level characteristics – on crime has been challenging due to the lack of fine-grained quantitative data. Recent advances in computer imagery have enabled r…
Impacts of land surface temperature and ambient factors on near-surface air temperature estimation: A multisource evaluation using SHAP analysis
Unveiling city-scale urban roadside charging piles capacity: Geospatial knowledge-assisted small object detection and SDG 7-driven planning
AdvUNet3: Segmentation of city-scale heterogeneous building façade materials from street view images
Quantitation of human mitochondrial DNA and whole mtGenomes sequencing of fingernail/hair shaft samples
The analysis of mitochondrial DNA (mtDNA) is suitable for fingernail/hair shaft samples in forensic science. A successful mtDNA forensic analysis depends on the quantity and quality of the mtDNA. The application of massively parallel sequence techniques to the analysis of mtDNA has the potential to improve the recovery of genetic information from difficult forensic specimens and to increase the discrimination potential of mtDNA by capturing and c…
Understanding the impacts of Covid-19 on bike-sharing travel behaviors: Insights from the literature and a case study in New York City, USA
Integrating photovoltaic noise barriers and electric vehicle charging stations for sustainable city transportation
Exploring the spatiotemporal evolution patterns of Urban Heat Island with a network-based approach
Unraveling the effect of electricity price on electric vehicle charging behavior: A case study in Shenzhen, China
Research on health information avoidance behavior and influencing factors of cancer patients—an empirical analysis based on structural equation modeling
Sociodemographic factors influencing cancer patients' health information avoidance behaviors include per capita monthly household income, occupation, treatment modality, number of years of smart device use, and number of hours per week reading health information. Self-efficacy and negative emotions mediated the analytic model of health information avoidance behavior in cancer patients, respectively
Forensic efficiency and population genetic construction of Guizhou Gelao minority from Southwest China revealed by a panel of 23 autosomal STR loci
The first batch of genetic data for 23 autosomal STRs in 490 Geolao individuals from Guizhou was provided.The 23 STR panel can afford high genetic polymorphisms and discrimination power and can be efficiently applied to forensic practice in Guizhou Gelao population.A complex phylogenetic model influenced by ethnic, geographic, and linguistic factors was uncovered
Spatio-temporal changes in the causal interactions among Sustainable Development Goals in China
Extensive efforts have been dedicated to deciphering the interactions associated with Sustainable Development Goals (SDGs). However, these developments are hampered by a lack of efficient strategies to avoid beneficial synergies being offset by harmful trade-offs. To fill these gaps, we used causal diagnosis and network analysis methods to construct 1302 directed networks of SDGs for 31 provinces in China from 2000 to 2020. We observed a dramatic…
Unravelling the effects of dynamic urban thermal environment on utility-scale floating photovoltaic electricity generation
Estimation of urban-scale photovoltaic potential: A deep learning-based approach for constructing three-dimensional building models from optical remote sensing imagery
Cross-regional analysis of the association between human mobility and Covid-19 infection in Southeast Asia during the transitional period of “living with Covid-19”
An economically feasible optimization of photovoltaic provision using real electricity demand: A case study in New York city
Using street view images to identify road noise barriers with ensemble classification model and geospatial analysis
Spatial and Temporal Analysis of Impacts of Hurricane Florence on Criteria Air Pollutants and Air Toxics in Eastern North Carolina
Natural and anthropogenic disasters are associated with air quality concerns due to the potential redistribution of pollutants in the environment. Our objective was to conduct a spatiotemporal analysis of air concentrations of benzene, toluene, ethylbenzne, and xylene (BTEX) and criteria air pollutants in North Carolina during and after Hurricane Florence. Three sampling campaigns were carried out immediately after the storm (September 2018) and …
Association between Global Air Pollution and Covid-19 Mortality: A Study of Forty-Six Cities in the World
Ambient air pollution plays a significant role in an increased risk of incidence and mortality of COVID-19 on a global scale. This study aims to understand the multiscale spatial effect of global air pollution on COVID-19 mortality. Based on forty-six cities from six countries worldwide between 1 April 2020 and 31 December 2020, a Bayesian space-time hierarchical model was used based on the lag effects of seven, fourteen, and twenty-one days to q…
Covid-19 Infection and Mortality: Association with PM2.5 Concentration and Population Density—An Exploratory Study
The novel coronavirus disease (COVID-19) has become a public health problem at a global scale because of its high infection and mortality rate. It has affected most countries in the world, and the number of confirmed cases and death toll is still growing rapidly. Susceptibility studies have been conducted in specific countries, where COVID-19 infection and mortality rates were highly related to demographics and air pollution, especially PM2.5, bu…
Yearly and Daily Relationship Assessment between Air Pollution and Early-Stage Covid-19 Incidence: Evidence from 231 Countries and Regions
The novel coronavirus disease 2019 (COVID-19) has caused significantly changes in worldwide environmental and socioeconomics, especially in the early stage. Previous research has found that air pollution is potentially affected by these unprecedented changes and it affects COVID-19 infections. This study aims to explore the non-linear association between yearly and daily global air pollution and the confirmed cases of COVID-19. The concentrations…
Association between NO 2 concentrations and spatial configuration: A study of the impacts of Covid-19 lockdowns in 54 US cities
The massive lockdown of global cities during the COVID-19 pandemic is substantially improving the atmospheric environment, which for the first time, urban mobility is virtually reduced to zero, and it is then possible to establish a baseline for air quality. By comparing these values with pre-COVID-19 data, it is possible to infer the likely effect of urban mobility and spatial configuration on the air quality. In the present study, a time-series…
Reopening International Borders without Quarantine: Contact Tracing Integrated Policy against Covid-19
With the COVID-19 vaccination widely implemented in most countries, propelled by the need to revive the tourism economy, there is a growing prospect for relieving the social distancing regulation and reopening borders in tourism-oriented countries and regions. This need incentivizes stakeholders to develop border control strategies that fully evaluate health risks if mandatory quarantines are lifted. In this study, we have employed a computationa…
Assessing the Country-Level Excess All-Cause Mortality and the Impacts of Air Pollution and Human Activity during the Covid-19 Epidemic
The impact of Coronavirus Disease 2019 (COVID-19) on cause-specific mortality has been investigated on a global scale. However, less is known about the excess all-cause mortality and air pollution-human activity responses. This study estimated the weekly excess all-cause mortality during COVID-19 and evaluated the impacts of air pollution and human activities on mortality variations during the 10th to 52nd weeks of 2020 among sixteen countries. A…
Predicting the Time Spent Playing Computer and Mobile Games among Medical Undergraduate Students Using Interpersonal Relations and Social Cognitive Theory: A Cross-Sectional Survey in Chongqing, China
Background : Computer and mobile games are widely used among undergraduate students worldwide, especially in China. Our objective was to predict the time spent playing computer and mobile games based on interpersonal relations and social cognitive theory constructs (i.e., expectation, self-efficacy, and self-control). Methods : The cross-sectional survey was conducted in two medical universities using a sample of 1557 undergraduate students recru…
Considering user behavior in free-floating bike sharing system design: A data-informed spatial agent-based model
Solar accessibility in developing cities: A case study in Kowloon East, Hong Kong
Trends in Alcohol Intake and the Association between Socio-Demographic Factors and Volume of Alcohol Intake amongst Adult Male Drinkers in China
Background : The volume of alcohol intake and type of alcohol affect Chinese men's health. This study investigated changes of alcohol type between 2004 and 2011, explored the trend of change in alcohol type with age and determined the social demographic factors influencing the alcohol intake of Chinese men. Methods : Research data originated from the public database, China Health and Nutrition Survey (CHNS). Three chi-square tests were used to de…
Spatiotemporal Prediction of Increasing Winter Perceived Temperature across a Sub-Tropical City for Sustainable Planning and Climate Change Mitigation
Climate variability has been documented as being key to influencing human wellbeing across cities as it is linked to mortality and illness due to changes in the perceived weather cycle. Many studies have investigated the impact of summer temperature on human health and have proposed mitigation strategies for summer heat waves. However, sub-tropical cities are still experiencing winter temperature variations. Increasing winter perceived temperatur…
Development of the Adjusted Wind Chill Equivalent Temperature (Awcet) for cold mortality assessment across a subtropical city: Validation and comparison with a spatially-controlled time-stratified app…
AWCET is validated to be effective to access cold mortality in the context of subtropical cities. The use of AWCET may enhance the cold weather warning system in subtropical cities, as a supplementary tool to help demonstrating small administrative-level perceived temperature with volunteered geographic information
Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility
Understanding space-time patterns of vehicular emission flows in urban areas using geospatial technique
Covid-19 Infection and Mortality: Association with PM2.5 Concentration and Population Density—An Exploratory Study
The novel coronavirus disease (COVID-19) has become a public health problem at a global scale because of its high infection and mortality rate. It has affected most countries in the world, and the number of confirmed cases and death toll is still growing rapidly. Susceptibility studies have been conducted in specific countries, where COVID-19 infection and mortality rates were highly related to demographics and air pollution, especially PM2.5, bu…
Yearly and Daily Relationship Assessment between Air Pollution and Early-Stage Covid-19 Incidence: Evidence from 231 Countries and Regions
The novel coronavirus disease 2019 (COVID-19) has caused significantly changes in worldwide environmental and socioeconomics, especially in the early stage. Previous research has found that air pollution is potentially affected by these unprecedented changes and it affects COVID-19 infections. This study aims to explore the non-linear association between yearly and daily global air pollution and the confirmed cases of COVID-19. The concentrations…
Association between NO 2 concentrations and spatial configuration: A study of the impacts of Covid-19 lockdowns in 54 US cities
The massive lockdown of global cities during the COVID-19 pandemic is substantially improving the atmospheric environment, which for the first time, urban mobility is virtually reduced to zero, and it is then possible to establish a baseline for air quality. By comparing these values with pre-COVID-19 data, it is possible to infer the likely effect of urban mobility and spatial configuration on the air quality. In the present study, a time-series…
Reopening International Borders without Quarantine: Contact Tracing Integrated Policy against Covid-19
With the COVID-19 vaccination widely implemented in most countries, propelled by the need to revive the tourism economy, there is a growing prospect for relieving the social distancing regulation and reopening borders in tourism-oriented countries and regions. This need incentivizes stakeholders to develop border control strategies that fully evaluate health risks if mandatory quarantines are lifted. In this study, we have employed a computationa…
Assessing the Country-Level Excess All-Cause Mortality and the Impacts of Air Pollution and Human Activity during the Covid-19 Epidemic
The impact of Coronavirus Disease 2019 (COVID-19) on cause-specific mortality has been investigated on a global scale. However, less is known about the excess all-cause mortality and air pollution-human activity responses. This study estimated the weekly excess all-cause mortality during COVID-19 and evaluated the impacts of air pollution and human activities on mortality variations during the 10th to 52nd weeks of 2020 among sixteen countries. A…
Coping with post-hurricane mental distress: The role of neighborhood green space
An economically feasible optimization of photovoltaic provision using real electricity demand: A case study in New York city
Using street view images to identify road noise barriers with ensemble classification model and geospatial analysis
Spatial and Temporal Analysis of Impacts of Hurricane Florence on Criteria Air Pollutants and Air Toxics in Eastern North Carolina
Natural and anthropogenic disasters are associated with air quality concerns due to the potential redistribution of pollutants in the environment. Our objective was to conduct a spatiotemporal analysis of air concentrations of benzene, toluene, ethylbenzne, and xylene (BTEX) and criteria air pollutants in North Carolina during and after Hurricane Florence. Three sampling campaigns were carried out immediately after the storm (September 2018) and …
Association between Global Air Pollution and Covid-19 Mortality: A Study of Forty-Six Cities in the World
Ambient air pollution plays a significant role in an increased risk of incidence and mortality of COVID-19 on a global scale. This study aims to understand the multiscale spatial effect of global air pollution on COVID-19 mortality. Based on forty-six cities from six countries worldwide between 1 April 2020 and 31 December 2020, a Bayesian space-time hierarchical model was used based on the lag effects of seven, fourteen, and twenty-one days to q…
Spatio-temporal changes in the causal interactions among Sustainable Development Goals in China
Extensive efforts have been dedicated to deciphering the interactions associated with Sustainable Development Goals (SDGs). However, these developments are hampered by a lack of efficient strategies to avoid beneficial synergies being offset by harmful trade-offs. To fill these gaps, we used causal diagnosis and network analysis methods to construct 1302 directed networks of SDGs for 31 provinces in China from 2000 to 2020. We observed a dramatic…
Unravelling the effects of dynamic urban thermal environment on utility-scale floating photovoltaic electricity generation
Estimation of urban-scale photovoltaic potential: A deep learning-based approach for constructing three-dimensional building models from optical remote sensing imagery
Cross-regional analysis of the association between human mobility and Covid-19 infection in Southeast Asia during the transitional period of “living with Covid-19”
Understanding the impacts of Covid-19 on bike-sharing travel behaviors: Insights from the literature and a case study in New York City, USA
Integrating photovoltaic noise barriers and electric vehicle charging stations for sustainable city transportation
Exploring the spatiotemporal evolution patterns of Urban Heat Island with a network-based approach
Geography (22 works) · Environmental Science (15 works) · Engineering (14 works) · Computer Science (13 works) · Medicine (12 works) · Environmental health (9 works) · Meteorology (9 works) · Transport engineering (9 works) · Demography (8 works) · Air Quality and Health Impacts (7 works)