Jinbao Zhang
Biographic Data
| ID | 4433873 |
|---|---|
| NAME | Jinbao Zhang |
| GIVEN NAMES | Jinbao |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG J |
| AFFILIATIONS | Sun Yat-sen University |
| ORCID | 0000-0001-8510-149X |
| VERIFIED | Yes |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 25 |
| AUTHOR COUNT | 19 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Interventions to Facilitate Access to Long-Term Care for Community-Dwelling Older Adults: A Scoping Review
Accessing long-term care can be challenging due to complex care systems. This study aimed to identify evidence on interventions designed to improve access to long-term care for community-dwelling older adults. A systematic search of five databases identified 16 studies published between 2013 and 2023. Interventions were categorized into four types: early identification (n = 6), integrated care (n = 5), partnership (n = 2), and other (n = 3). Comm…
Effects of Chinese College Students’ Academic Integrity Perceptions on the Intention To Disclose AI-Generated Outputs: A Moderated Mediation Model
Utilizing Consumer-Directed Care Among Older Adults: Identifying Barriers From Behavioral Economics Perspectives
Consumer-directed Care (CDC) empowers older people to flexibly arrange services and enhances their well-being. Prior studies have suggested that limited attention and hassle costs are major demand-side barriers to using CDC. However, many other psychosocial factors were unexplored. In this study, we explore associations between CDC utilization and a wider range of psychosocial factors based on behavioral economics theories. A cross-sectional tele…
The Role of Contextual Factors in Shaping Urban Older Adults’ Intention of Institutional Care in China: A Mixed-Methods Study
Rather than treating the stated institutional intention as a simple expression of older Chinese people's likes or desires, the intention of institutional care should be understood within a framework that fully considers the influence of psycho-social factors and contextual organizations
Extracting human perceptions from street view images for better assessing urban renewal potential
Reflection on Value and Function of Information Technology Curriculum from the Reform of the British ICT Curriculum
In the context of social transformation, the needs of society and individuals for information technology are changing, and discussions on the value and function of information technology are getting more and more attention. The purpose of this research is to clarify the value problems of the information technology curriculum and its function for nurturing students in primary and secondary schools. This research adopts content analysis and compara…
Developing a data-fusing method for mapping fine-scale urban three-dimensional building structure
Discovering the homogeneous geographic domain of human perceptions from street view images
Containment, Health, and Social Policies in the Time of Covid-19 – Determinants and Outcomes of Initial Responses across 120 Countries
The coronavirus disease 2019 (COVID-19) pandemic has triggered an unprecedented number of policy responses around the world across multiple policy domains. While governments have combined containment and health policies with social policies (CHSPs) during the initial phase of the pandemic in various ways, the current literature offers little knowledge of the patterns of these combinations and their determinants and outcomes. This paper fills this…
The Impact of Public Assistance Use on Charitable Giving: Evidence from the USA and China
Public policy can directly or indirectly affect private philanthropy. Although previous studies have investigated the role of tax incentives and government grants to nonprofits, scholars do not pay much attention to how public welfare receipt affects philanthropic behavior. This study fills the gap by examining the impact of public assistance use on individual charitable giving using data from the USA and China. We employ propensity score matchin…
The effects of universal child allowance on family expenditure in Taiwan
Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique
Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China
BACKGROUND: Residential green and blue spaces may be therapeutic for the mental health. However, solid evidence on the linkage between exposure to green and blue spaces and mental health among the elderly in non-Western countries is scarce and limited to exposure metrics based on remote sensing images (i.e., land cover and vegetation indices). Such overhead-view measures may fail to capture how people perceive the environment on the site. OBJECTI…
Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures
The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: Using street view images
A human-machine adversarial scoring framework for urban perception assessment using street-view images
Though global-coverage urban perception datasets have been recently created using machine learning, their efficacy in accurately assessing local urban perceptions for other countries and regions remains a problem. Here we describe a human-machine adversarial scoring framework using a methodology that incorporates deep learning and iterative feedback with recommendation scores, which allows for the rapid and cost-effective assessment of the local …
Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents’ mental health
Classifying urban land use by integrating remote sensing and social media data
Urban land use information plays an important role in urban management, government policy-making, and population activity monitoring. However, the accurate classification of urban functional zones is challenging due to the complexity of urban systems. Many studies have focused on urban land use classification by considering features that are extracted from either high spatial resolution (HSR) remote sensing images or social media data, but few st…
Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model
Urban land use information plays an essential role in a wide variety of urban planning and environmental monitoring processes. During the past few decades, with the rapid technological development of remote sensing (RS), geographic information systems (GIS) and geospatial big data, numerous methods have been developed to identify urban land use at a fine scale. Points-of-interest (POIs) have been widely used to extract information pertaining to u…
Extracting human perceptions from street view images for better assessing urban renewal potential
Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents’ mental health
Effects of Chinese College Students’ Academic Integrity Perceptions on the Intention To Disclose AI-Generated Outputs: A Moderated Mediation Model
The Impact of Public Assistance Use on Charitable Giving: Evidence from the USA and China
Public policy can directly or indirectly affect private philanthropy. Although previous studies have investigated the role of tax incentives and government grants to nonprofits, scholars do not pay much attention to how public welfare receipt affects philanthropic behavior. This study fills the gap by examining the impact of public assistance use on individual charitable giving using data from the USA and China. We employ propensity score matchin…
The effects of universal child allowance on family expenditure in Taiwan
Classifying urban land use by integrating remote sensing and social media data
Urban land use information plays an important role in urban management, government policy-making, and population activity monitoring. However, the accurate classification of urban functional zones is challenging due to the complexity of urban systems. Many studies have focused on urban land use classification by considering features that are extracted from either high spatial resolution (HSR) remote sensing images or social media data, but few st…
Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model
Urban land use information plays an essential role in a wide variety of urban planning and environmental monitoring processes. During the past few decades, with the rapid technological development of remote sensing (RS), geographic information systems (GIS) and geospatial big data, numerous methods have been developed to identify urban land use at a fine scale. Points-of-interest (POIs) have been widely used to extract information pertaining to u…
Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique
Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China
BACKGROUND: Residential green and blue spaces may be therapeutic for the mental health. However, solid evidence on the linkage between exposure to green and blue spaces and mental health among the elderly in non-Western countries is scarce and limited to exposure metrics based on remote sensing images (i.e., land cover and vegetation indices). Such overhead-view measures may fail to capture how people perceive the environment on the site. OBJECTI…
Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures
The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: Using street view images
A human-machine adversarial scoring framework for urban perception assessment using street-view images
Though global-coverage urban perception datasets have been recently created using machine learning, their efficacy in accurately assessing local urban perceptions for other countries and regions remains a problem. Here we describe a human-machine adversarial scoring framework using a methodology that incorporates deep learning and iterative feedback with recommendation scores, which allows for the rapid and cost-effective assessment of the local …
Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents’ mental health
Discovering the homogeneous geographic domain of human perceptions from street view images
Containment, Health, and Social Policies in the Time of Covid-19 – Determinants and Outcomes of Initial Responses across 120 Countries
The coronavirus disease 2019 (COVID-19) pandemic has triggered an unprecedented number of policy responses around the world across multiple policy domains. While governments have combined containment and health policies with social policies (CHSPs) during the initial phase of the pandemic in various ways, the current literature offers little knowledge of the patterns of these combinations and their determinants and outcomes. This paper fills this…
The Impact of Public Assistance Use on Charitable Giving: Evidence from the USA and China
Public policy can directly or indirectly affect private philanthropy. Although previous studies have investigated the role of tax incentives and government grants to nonprofits, scholars do not pay much attention to how public welfare receipt affects philanthropic behavior. This study fills the gap by examining the impact of public assistance use on individual charitable giving using data from the USA and China. We employ propensity score matchin…
The effects of universal child allowance on family expenditure in Taiwan
Reflection on Value and Function of Information Technology Curriculum from the Reform of the British ICT Curriculum
In the context of social transformation, the needs of society and individuals for information technology are changing, and discussions on the value and function of information technology are getting more and more attention. The purpose of this research is to clarify the value problems of the information technology curriculum and its function for nurturing students in primary and secondary schools. This research adopts content analysis and compara…
Developing a data-fusing method for mapping fine-scale urban three-dimensional building structure
The Role of Contextual Factors in Shaping Urban Older Adults’ Intention of Institutional Care in China: A Mixed-Methods Study
Rather than treating the stated institutional intention as a simple expression of older Chinese people's likes or desires, the intention of institutional care should be understood within a framework that fully considers the influence of psycho-social factors and contextual organizations
Extracting human perceptions from street view images for better assessing urban renewal potential
Utilizing Consumer-Directed Care Among Older Adults: Identifying Barriers From Behavioral Economics Perspectives
Consumer-directed Care (CDC) empowers older people to flexibly arrange services and enhances their well-being. Prior studies have suggested that limited attention and hassle costs are major demand-side barriers to using CDC. However, many other psychosocial factors were unexplored. In this study, we explore associations between CDC utilization and a wider range of psychosocial factors based on behavioral economics theories. A cross-sectional tele…
Effects of Chinese College Students’ Academic Integrity Perceptions on the Intention To Disclose AI-Generated Outputs: A Moderated Mediation Model
Interventions to Facilitate Access to Long-Term Care for Community-Dwelling Older Adults: A Scoping Review
Accessing long-term care can be challenging due to complex care systems. This study aimed to identify evidence on interventions designed to improve access to long-term care for community-dwelling older adults. A systematic search of five databases identified 16 studies published between 2013 and 2023. Interventions were categorized into four types: early identification (n = 6), integrated care (n = 5), partnership (n = 2), and other (n = 3). Comm…
Psychology (12 works) · Geography (11 works) · Computer Science (9 works) · Medicine (9 works) · Engineering (7 works) · Cartography (6 works) · Civil engineering (6 works) · Environmental health (6 works) · Perception (6 works) · Urban Green Space and Health (6 works)