Yue Lin
Biographic Data
| ID | 3584472 |
|---|---|
| NAME | Yue Lin |
| GIVEN NAMES | Yue |
| FAMILY NAME | Lin |
| SIGNATURE | LIN Y |
| AFFILIATIONS | University of Chicago |
| ORCID | 0000-0001-8568-7734 |
| VERIFIED | Yes |
| TOTAL WORKS | 35 |
| TOTAL CITATIONS | 41 |
| AUTHOR COUNT | 35 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 4 |
Problematic smartphone use in early adolescence: Developmental heterogeneity and bidirectional links with risk factors
Smartphones offer convenience but have raised concerns about problematic smartphone use (PSU), particularly among early adolescents whose cognitive control is still developing. Examining developmental heterogeneity in PSU and its associated risk factors during this period has important theoretical and practical implications. Participants were 1821 Chinese children transitioning into early adolescence (M age = 9.57 years; 48.5% female), followed a…
Computational mapping of historic built environments in American cities from Sanborn maps: A case from the Chicago Urban Heritage Project
Sanborn Fire Insurance maps are some of the most complete records of the historical built environment that researchers have access to, with building-level data for over 12,000 cities contained in hundred-year-old atlases. A challenge facing the historical urban planning research community is ensuring the preservation of these atlases’ information through scanning, but further digitization through vectorization has been largely contained to time-c…
How to identify urban heat inequity? A systematic literature review of scales, indicators, pathways, and future directions
Same Entry, Different Paths: CSR Trajectories of Chinese Multinationals in Serbia Under Institutional Quadrality
While the geopolitics of Chinese investment in Europe has received sustained attention, how Chinese multinational enterprises (CMNEs) govern corporate social responsibility (CSR) on the ground remains less examined. This article addresses that gap by developing an institutional quadrality framework, which conceptualizes CMNEs’ CSR governance in Europe as shaped by the interaction of four institutional environments—home-country, global, regional, …
Citizen Science and Geoprivacy: Empirical Analysis of Location Masking in Large-Scale Crowdsensing Networks
Upgrading from Contract Manufacturers to Global Lead Firms: The Roles of Regional Institutions, Domestic Consumer Markets, and Global Capital Markets
Existing global production network (GPN) literature debates primarily focus on how local contract manufacturers and regions achieve development goals by establishing strategic coupling relationships with global lead firms. Limited attention has been given to whether and how these local firms can establish their own brands and subsequently become global lead firms, let alone identifying the key factors driving this transformation process. By devel…
Optimizing air pollution sensing for social and environmental justice
How would AI define neighborhood boundaries? A comparison with human-crowdsourced data
Generative artificial intelligence (AI) has started to be considered a cost-efficient alternative for geospatial and urban surveys, but there remains a critical need to evaluate how closely AI-generated outputs align with human responses. This paper compares responses from ChatGPT and residents in defining neighborhood boundaries, a long-standing challenge in urban studies with no single correct answer and typically relies on input from resident …
Study on the relationship with knowledge, attitudes, and practices for prevention control of hepatitis B among university students in Hubei Province, China
This study evaluated the current status of knowledge, attitudes, and practices (KAP) concerning hepatitis B prevention and control among university students in Hubei province while also identifying the factors associated with their practices. A cross-sectional study with simple random sampling was conducted from November 2022 to December 2022 at a University of Hubei. Five hundred undergraduates were selected for this study, utilizing a self-admi…
Does collaborative governance of natural disasters in urban agglomerations enhance urban resilience? Evidence from China
Learning Novel Words in an Immersive Virtual-Reality Context: Tracking Lexicalization Through Behavioral and Event-Related-Potential Measures
The present study used immersive virtual-reality (iVR) technology to simulate a real-life environment and examined its impact on novel-word learning and lexicalization. On Days 1-3, Chinese-speaking participants learned German words in iVR and traditional picture-word (PW) association contexts. A semantic-priming task was used to measure word lexicalization on Day 4, and again 6 months later. The behavioral findings of an immediate posttest showe…
Posthuman Cartography? Rethinking Artificial Intelligence, Cartographic Practices, and Reflexivity
Artificial intelligence (AI) is catalyzing growing disruptions in contemporary cartography and beyond. Unlike previous mapping technologies, the current wave of AI enables producing maps without explicit programmed rules, which extends and, in some cases, surpasses human intelligence. This transformative capacity has the potential to reshape not only the practices of map-making but also the power structures of the actors involved. In this light, …
Moving beyond anonymity: Embracing a collective approach to location privacy in data-intensive geospatial analytics
Privacy has been an important topic within the geospatial science community, particularly driven by the widespread adoption of geospatial technologies such as mobile devices and the vast amount of location data they generate. This has sparked considerable interest in location privacy that is specifically dedicated to the protection of location information. However, existing literature on location privacy mostly focuses on preserving anonymity and…
Between political legitimacy and strategic competitiveness: Overseas corporate social responsibility patterns of Chinese international contractors
This article examines the overseas corporate social responsibility (CSR) patterns of Chinese international contractors (CICs). Adopting an institutional and political economy approach, a unique dataset is constructed with country-specific contents drawn from CSR-related reports and website information of 50 top CICs. This dataset provides a foundation for systematic content analysis of CICs’ overseas CSR practices, revealing that both political l…
You are where you live? Evaluating the racial and ethnic (mis)representation in geodemographic classification
Exploring the Tradeoff Between Privacy and Utility of Complete‐count Census Data Using a Multiobjective Optimization Approach
Privacy and utility are two important objectives to consider when releasing census data. However, these two objectives are often conflicting, as protecting privacy usually necessitates introducing noise into the data, which compromises data utility. Determining the appropriate level of privacy protection presents a significant challenge in the data release. Therefore, it is necessary to investigate the tradeoff between privacy and utility before …
Synthetic population data for small area estimation in the United States
Small area estimation is critical for a wide range of applications, including urban planning, funding distribution, and policy formulation. Individual-level population data, which typically include each individual’s socio-demographic characteristics and small area location, are a rich source of information for small area estimation. However, individual-level population data are often not made public due to confidentiality concerns. This paper des…
Telephone follow-up based on empowerment theory to improve resilience and quality of life among patients after coronary artery stent implantation: A randomized controlled trial
http://www.chictr.org.cn/showproj.aspx?proj=173682, identifier ChiCTR2200064950
Evolving Normative Dynamics: Understanding China's Varied Approaches to Overseas Corporate Social Responsibility in the Belt and Road Initiative Era
China's Belt and Road Initiative (BRI) is nowadays a global development initiative, with which China pursues a new international identity as a “responsible major country.” The inadequate fulfilment of corporate social responsibility (CSR) in BRI partner countries however has tainted the BRI's cooperative “win–win” principle and sparked external legitimacy crises. This study explores how Chinese policymakers respond to overseas CSR challenges in t…
Smartphone embodiment: The effect of smartphone use on body representation
Generating Small Areal Synthetic Microdata from Public Aggregated Data Using an Optimization Method
Small area microdata contain attributes and locations of individual members of a population in small census geographies. This type of data is critical in research and policymaking, but it is often not publicly available due to confidentiality concerns. The limited access to small area microdata can result in insufficient data for certain research (data scarcity). Even for researchers qualified to access the small area microdata, their research ca…
Geo-indistinguishable masking: Enhancing privacy protection in spatial point mapping
Spatial point mapping is a useful practice in exploratory point pattern analysis, but it poses significant privacy risks as the identity of individuals may be revealed from the maps. Geomasking methods have been developed to mitigate the risks by displacing spatial points before mapping. However, many of these methods rely on a weak privacy notion called spatial k-anonymity, which is insufficient to withstand the growing amount of spatial data (e…
Impact mechanisms of urbanization processes on supply-demand matches of cultivated land multifunction in rapid urbanization areas
Assessing the Impact of Differential Privacy on Population Uniques in Geographically Aggregated Data: The Case of the 2020 U.S. Census
A Computational Framework for Preserving Privacy and Maintaining Utility of Geographically Aggregated Data: A Stochastic Spatial Optimization Approach
Geographically aggregated data are often considered to be safe because information can be published by group as population counts rather than by individual. Identifiable information about individuals can still be disclosed when using such data, however. Conventional methods for protecting privacy, such as data swapping, often lack transparency because they do not quantify the reduction in disclosure risk. Recent methods, such as those based on di…
Impact mechanisms of urbanization processes on supply-demand matches of cultivated land multifunction in rapid urbanization areas
Spatial identification and trade-off analysis of land use functions improve spatial zoning management in rapid urbanized areas, China
Posthuman Cartography? Rethinking Artificial Intelligence, Cartographic Practices, and Reflexivity
Artificial intelligence (AI) is catalyzing growing disruptions in contemporary cartography and beyond. Unlike previous mapping technologies, the current wave of AI enables producing maps without explicit programmed rules, which extends and, in some cases, surpasses human intelligence. This transformative capacity has the potential to reshape not only the practices of map-making but also the power structures of the actors involved. In this light, …
Yiwu: Le carrefour du « made in China »
Evolving Normative Dynamics: Understanding China's Varied Approaches to Overseas Corporate Social Responsibility in the Belt and Road Initiative Era
China's Belt and Road Initiative (BRI) is nowadays a global development initiative, with which China pursues a new international identity as a “responsible major country.” The inadequate fulfilment of corporate social responsibility (CSR) in BRI partner countries however has tainted the BRI's cooperative “win–win” principle and sparked external legitimacy crises. This study explores how Chinese policymakers respond to overseas CSR challenges in t…
A Computational Framework for Preserving Privacy and Maintaining Utility of Geographically Aggregated Data: A Stochastic Spatial Optimization Approach
Geographically aggregated data are often considered to be safe because information can be published by group as population counts rather than by individual. Identifiable information about individuals can still be disclosed when using such data, however. Conventional methods for protecting privacy, such as data swapping, often lack transparency because they do not quantify the reduction in disclosure risk. Recent methods, such as those based on di…
How do modern transportation projects impact on development of impervious surfaces via new urban area and urban intensification? Evidence from Hangzhou Bay Bridge, China
Geo-indistinguishable masking: Enhancing privacy protection in spatial point mapping
Spatial point mapping is a useful practice in exploratory point pattern analysis, but it poses significant privacy risks as the identity of individuals may be revealed from the maps. Geomasking methods have been developed to mitigate the risks by displacing spatial points before mapping. However, many of these methods rely on a weak privacy notion called spatial k-anonymity, which is insufficient to withstand the growing amount of spatial data (e…
Perceived subjective social status and smartphone addiction tendency among Chinese adolescents: A sequential mediation model
Entrepreneuriat familial et succession [Enquête dans la province du Zhejiang]: Enquête dans la province du Zhejiang
En Chine continentale, la famille, l’unité sociale de base, retrouve récemment son importance dans les activités économiques. A partir du cas particulier d’une entreprise familiale située dans la province du Zhejiang, cet article revient sur les pratiques en matière de succession à la direction des entreprises. Suite à cette étude de cas, un questionnaire a été élaboré puis soumis à dix-sept entreprises familiales. Les critères retenus par l’entr…
Yiwu: Le carrefour du « made in China »
Observations sur le commerce sino-africain des marchandises
The re-optimization strategy of multi-layer hybrid building’s cooling and heating load soft sensing technology research based on temperature interval and hierarchical modeling techniques
How do modern transportation projects impact on development of impervious surfaces via new urban area and urban intensification? Evidence from Hangzhou Bay Bridge, China
Perceived subjective social status and smartphone addiction tendency among Chinese adolescents: A sequential mediation model
Spatial pattern analysis of address quality: A study on the impact of rapid urban expansion in China
Standard address data are essential geographical information that play an important role in urban management. However, due to the complex structures of Chinese addresses, poor address quality has long been a problem in China. Although several measures were established to improve the address quality, nonstandard address data are still common in new urban areas. To investigate the potential causes of the geographical disparities in address quality,…
Determinant Powers of Socioeconomic Factors and Their Interactive Impacts on Particulate Matter Pollution in North China
Severe air pollution has significantly impacted climate and human health worldwide. In this study, global and local Moran's I was used to examine the spatial autocorrelation of PM 2.5 pollution in North China from 2000-2017, using data obtained from Atmospheric Composition Analysis Group of Dalhousie University. The determinant powers and their interactive effects of socioeconomic factors on this pollutant are then quantified using a non-linear m…
The concurrent and longitudinal impact of sleep on mind wandering in early adolescents
Mind wandering refers to task-unrelated thoughts that can interfere with ongoing tasks and could be sleep-driven across childhood. The present study investigated the mechanisms of the association between early adolescents' sleep and mind wandering with emotional symptoms and executive function as potential mediators. A total of 257 early adolescents (baseline aged 9-13 years old; 131 boys) completed the questionnaires consisting of the Pittsburgh…
Spatial identification and trade-off analysis of land use functions improve spatial zoning management in rapid urbanized areas, China
Smartphone embodiment: The effect of smartphone use on body representation
Generating Small Areal Synthetic Microdata from Public Aggregated Data Using an Optimization Method
Small area microdata contain attributes and locations of individual members of a population in small census geographies. This type of data is critical in research and policymaking, but it is often not publicly available due to confidentiality concerns. The limited access to small area microdata can result in insufficient data for certain research (data scarcity). Even for researchers qualified to access the small area microdata, their research ca…
Geo-indistinguishable masking: Enhancing privacy protection in spatial point mapping
Spatial point mapping is a useful practice in exploratory point pattern analysis, but it poses significant privacy risks as the identity of individuals may be revealed from the maps. Geomasking methods have been developed to mitigate the risks by displacing spatial points before mapping. However, many of these methods rely on a weak privacy notion called spatial k-anonymity, which is insufficient to withstand the growing amount of spatial data (e…
Impact mechanisms of urbanization processes on supply-demand matches of cultivated land multifunction in rapid urbanization areas
Assessing the Impact of Differential Privacy on Population Uniques in Geographically Aggregated Data: The Case of the 2020 U.S. Census
A Computational Framework for Preserving Privacy and Maintaining Utility of Geographically Aggregated Data: A Stochastic Spatial Optimization Approach
Geographically aggregated data are often considered to be safe because information can be published by group as population counts rather than by individual. Identifiable information about individuals can still be disclosed when using such data, however. Conventional methods for protecting privacy, such as data swapping, often lack transparency because they do not quantify the reduction in disclosure risk. Recent methods, such as those based on di…
Moving beyond anonymity: Embracing a collective approach to location privacy in data-intensive geospatial analytics
Privacy has been an important topic within the geospatial science community, particularly driven by the widespread adoption of geospatial technologies such as mobile devices and the vast amount of location data they generate. This has sparked considerable interest in location privacy that is specifically dedicated to the protection of location information. However, existing literature on location privacy mostly focuses on preserving anonymity and…
Between political legitimacy and strategic competitiveness: Overseas corporate social responsibility patterns of Chinese international contractors
This article examines the overseas corporate social responsibility (CSR) patterns of Chinese international contractors (CICs). Adopting an institutional and political economy approach, a unique dataset is constructed with country-specific contents drawn from CSR-related reports and website information of 50 top CICs. This dataset provides a foundation for systematic content analysis of CICs’ overseas CSR practices, revealing that both political l…
You are where you live? Evaluating the racial and ethnic (mis)representation in geodemographic classification
Exploring the Tradeoff Between Privacy and Utility of Complete‐count Census Data Using a Multiobjective Optimization Approach
Privacy and utility are two important objectives to consider when releasing census data. However, these two objectives are often conflicting, as protecting privacy usually necessitates introducing noise into the data, which compromises data utility. Determining the appropriate level of privacy protection presents a significant challenge in the data release. Therefore, it is necessary to investigate the tradeoff between privacy and utility before …
Synthetic population data for small area estimation in the United States
Small area estimation is critical for a wide range of applications, including urban planning, funding distribution, and policy formulation. Individual-level population data, which typically include each individual’s socio-demographic characteristics and small area location, are a rich source of information for small area estimation. However, individual-level population data are often not made public due to confidentiality concerns. This paper des…
Telephone follow-up based on empowerment theory to improve resilience and quality of life among patients after coronary artery stent implantation: A randomized controlled trial
http://www.chictr.org.cn/showproj.aspx?proj=173682, identifier ChiCTR2200064950
Evolving Normative Dynamics: Understanding China's Varied Approaches to Overseas Corporate Social Responsibility in the Belt and Road Initiative Era
China's Belt and Road Initiative (BRI) is nowadays a global development initiative, with which China pursues a new international identity as a “responsible major country.” The inadequate fulfilment of corporate social responsibility (CSR) in BRI partner countries however has tainted the BRI's cooperative “win–win” principle and sparked external legitimacy crises. This study explores how Chinese policymakers respond to overseas CSR challenges in t…
Optimizing air pollution sensing for social and environmental justice
How would AI define neighborhood boundaries? A comparison with human-crowdsourced data
Generative artificial intelligence (AI) has started to be considered a cost-efficient alternative for geospatial and urban surveys, but there remains a critical need to evaluate how closely AI-generated outputs align with human responses. This paper compares responses from ChatGPT and residents in defining neighborhood boundaries, a long-standing challenge in urban studies with no single correct answer and typically relies on input from resident …
Geography (17 works) · Computer Science (12 works) · Political science (10 works) · China (8 works) · Sociology (8 works) · Computer security (6 works) · Economics (6 works) · Human Mobility and Location-Based Analysis (6 works) · Population (6 works) · Business (5 works)