Kun Qin
Biographic Data
| ID | 6582066 |
|---|---|
| NAME | Kun Qin |
| GIVEN NAMES | Kun |
| FAMILY NAME | Qin |
| SIGNATURE | QIN K |
| AFFILIATIONS | Wuhan University |
| ORCID | 0009-0006-3901-7207 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
GeoPPO—A Location-Allocation Method of Superstores Based on Deep Reinforcement Learning—A Case Study of Xi’an
Urban commercial restructuring, driven by the closure of traditional supermarkets and the expansion of new-format superstores, creates a large-scale spatial reallocation challenge requiring scientific location-allocation methods. Traditional heuristic algorithms such as Genetic Algorithm (GA) struggle with discrete spatial optimization under 400+ candidate sites and complex geographic mask constraints: they converge slowly and easily fall into lo…
Psychostimulant treatment uniquely reduces left uncinate fasciculus microstructural integrity in ADHD youth with a familial risk for bipolar I disorder: A 12‐week DTI study
BACKGROUND: Bipolar I disorder (BD) is associated with reduced white matter microstructural integrity in the uncinate fasciculus (UF), a primary fiber tract connecting frontolimbic systems. Although familial history for BD, attention-deficit/hyperactivity disorder (ADHD), and psychostimulants are important risk factors implicated in BD pathoetiology, their impact on UF microstructure remains poorly understood. METHODS: This diffusion tensor imagi…
Multi-Scale Quantitative Direction-Relation Matrix for Cardinal Directions
Existing qualitative direction-relation matrix models employ rigid classification schemes, limiting their ability to differentiate directional relationships between multiple targets within the same directional tile. This paper proposes two quantitative matrix models for qualitative direction-relation with differing levels of precision. Based on directional tile partitioning derived from qualitative direction-relation models, the new models achiev…
Optimizing Advertising Billboard Coverage in Urban Networks: A Population-Weighted Greedy Algorithm with Spatial Efficiency Enhancements
The strategic allocation of advertising billboards has become a critical aspect of urban planning and resource management. While previous studies have explored site selection based on road network and population data, they have often overlooked the diminishing marginal returns of overlapping coverage and neglected to efficiently process large-scale urban datasets. To address these challenges, this study proposes two complementary optimization met…
High-resolution population density mapping in urban areas using a contextualized geographically weighted neural network (CGWNN) model
High-resolution gridded population data are crucial for various fields. Estimating heterogeneous urban populations presents challenges due to nonlinear relationships between influential factors and population density, which vary spatially across grids within different land-use parcels. This study developed a Contextualized Geographically Weighted Neural Network (CGWNN) model to estimate population density on 100 × 100m grid cells in Beijing, Chin…
Multimodal MRI study of gray matter and functional connectivity abnormalities in adolescents with bipolar disorder
Our findings suggest that adolescent BD is characterized by functional abnormalities within DMN and FPN, as well as cerebellar gray matter atrophy. Disrupted structure-function coupling in these regions may reflect possible neurobiological mechanisms underlying BD during adolescence
Effects of Short-Term Exposure to Air Pollutants on Real-Time Blood Pressure: A Wearable Device-Based Study in China
Towards healthcare access equality: Understanding spatial accessibility to healthcare services for wheelchair users
Considering that the number of wheelchair users is on the rise at the global level due to population aging, it is crucial to secure their rights to have adequate access to healthcare services. Spatial accessibility to healthcare services has been well recognized to influence people's health. However, research on healthcare accessibility of wheelchair users is scarce. This study proposes a barrier-free path planning method to estimate wheelchair u…
Aberrant brain network topology in youth with a familial risk for bipolar disorder: A task‐based fMRI connectome study
Background Youth with a family history of bipolar disorder (BD) may be at increased risk for mood disorders and for developing side effects after antidepressant exposure. The neurobiological basis of these risks remains poorly understood. We aimed to identify biomarkers underlying risk by characterizing abnormalities in the brain connectome of symptomatic youth at familial risk for BD. Methods Depressed and/or anxious youth ( n = 119, age = 14.9 …
Exploring the relationship between land use change patterns and variation in environmental factors within urban agglomeration
Spatial disparities of self-reported Covid-19 cases and influencing factors in Wuhan, China
Shared gray matter alterations in individuals with diverse behavioral addictions: A voxel-wise meta-analysis
Uncovering the spatiotemporal patterns of CO 2 emissions by taxis based on Individuals' daily travel
Uncovering the spatiotemporal patterns of CO 2 emissions by taxis based on Individuals' daily travel
Shared gray matter alterations in individuals with diverse behavioral addictions: A voxel-wise meta-analysis
Spatial disparities of self-reported Covid-19 cases and influencing factors in Wuhan, China
Towards healthcare access equality: Understanding spatial accessibility to healthcare services for wheelchair users
Considering that the number of wheelchair users is on the rise at the global level due to population aging, it is crucial to secure their rights to have adequate access to healthcare services. Spatial accessibility to healthcare services has been well recognized to influence people's health. However, research on healthcare accessibility of wheelchair users is scarce. This study proposes a barrier-free path planning method to estimate wheelchair u…
Aberrant brain network topology in youth with a familial risk for bipolar disorder: A task‐based fMRI connectome study
Background Youth with a family history of bipolar disorder (BD) may be at increased risk for mood disorders and for developing side effects after antidepressant exposure. The neurobiological basis of these risks remains poorly understood. We aimed to identify biomarkers underlying risk by characterizing abnormalities in the brain connectome of symptomatic youth at familial risk for BD. Methods Depressed and/or anxious youth ( n = 119, age = 14.9 …
Exploring the relationship between land use change patterns and variation in environmental factors within urban agglomeration
Multi-Scale Quantitative Direction-Relation Matrix for Cardinal Directions
Existing qualitative direction-relation matrix models employ rigid classification schemes, limiting their ability to differentiate directional relationships between multiple targets within the same directional tile. This paper proposes two quantitative matrix models for qualitative direction-relation with differing levels of precision. Based on directional tile partitioning derived from qualitative direction-relation models, the new models achiev…
Optimizing Advertising Billboard Coverage in Urban Networks: A Population-Weighted Greedy Algorithm with Spatial Efficiency Enhancements
The strategic allocation of advertising billboards has become a critical aspect of urban planning and resource management. While previous studies have explored site selection based on road network and population data, they have often overlooked the diminishing marginal returns of overlapping coverage and neglected to efficiently process large-scale urban datasets. To address these challenges, this study proposes two complementary optimization met…
High-resolution population density mapping in urban areas using a contextualized geographically weighted neural network (CGWNN) model
High-resolution gridded population data are crucial for various fields. Estimating heterogeneous urban populations presents challenges due to nonlinear relationships between influential factors and population density, which vary spatially across grids within different land-use parcels. This study developed a Contextualized Geographically Weighted Neural Network (CGWNN) model to estimate population density on 100 × 100m grid cells in Beijing, Chin…
Multimodal MRI study of gray matter and functional connectivity abnormalities in adolescents with bipolar disorder
Our findings suggest that adolescent BD is characterized by functional abnormalities within DMN and FPN, as well as cerebellar gray matter atrophy. Disrupted structure-function coupling in these regions may reflect possible neurobiological mechanisms underlying BD during adolescence
Effects of Short-Term Exposure to Air Pollutants on Real-Time Blood Pressure: A Wearable Device-Based Study in China
GeoPPO—A Location-Allocation Method of Superstores Based on Deep Reinforcement Learning—A Case Study of Xi’an
Urban commercial restructuring, driven by the closure of traditional supermarkets and the expansion of new-format superstores, creates a large-scale spatial reallocation challenge requiring scientific location-allocation methods. Traditional heuristic algorithms such as Genetic Algorithm (GA) struggle with discrete spatial optimization under 400+ candidate sites and complex geographic mask constraints: they converge slowly and easily fall into lo…
Psychostimulant treatment uniquely reduces left uncinate fasciculus microstructural integrity in ADHD youth with a familial risk for bipolar I disorder: A 12‐week DTI study
BACKGROUND: Bipolar I disorder (BD) is associated with reduced white matter microstructural integrity in the uncinate fasciculus (UF), a primary fiber tract connecting frontolimbic systems. Although familial history for BD, attention-deficit/hyperactivity disorder (ADHD), and psychostimulants are important risk factors implicated in BD pathoetiology, their impact on UF microstructure remains poorly understood. METHODS: This diffusion tensor imagi…
Medicine (6 works) · Geography (4 works) · Population (4 works) · Bipolar disorder (3 works) · Bipolar Disorder and Treatment (3 works) · Business (3 works) · Computer Science (3 works) · Engineering (3 works) · Human Mobility and Location-Based Analysis (3 works) · Transportation Planning and Optimization (3 works)