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Wei Yang · Study

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Wei Yang

9 works· latest 2025· 1 institutionscluster: provisionalORCID 0000-0002-9259-6344

h-index8

i108

Citations574

Works here9

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Most cited in this library

Environmental factors for outdoor jogging in Beijing: Insights from using explainable spatial machine learning and massive trajectory data2023 · 176 citations
Unraveling nonlinear and interaction effects of multilevel built environment features on outdoor jogging with explainable machine learning2024 · 98 citations
Exploring nonlinear effects of built environment on jogging behavior using random forest2023 · 96 citations
Examining the influence of neighborhood and street-level built environment on fitness jogging in Chengdu, China: A massive GPS trajectory data analysis2023 · 71 citations
Characterizing the activity patterns of outdoor jogging using massive multi-aspect trajectory data2022 · 44 citations

Works

9 shown

Deciphering spatiotemporal patterns and mobility network of outdoor jogging utilizing large-scale GPS trajectory data

Cities·2025·6 authors

17citations

Nonlinear interactive associations between built environments and adults’ mental health in China using a longitudinal design

Applied Geography·2025·3 authors

8citations

Environmental determinants of dynamic jogging patterns: Insights from trajectory big data analysis and interpretable machine learning

Applied Geography·2025·3 authors

23citations

How does visual environment affect outdoor jogging behavior? Insights from large-scale city images and GPS trajectories

Urban forestry & urban greening·2024·4 authors

41citations

Unraveling nonlinear and interaction effects of multilevel built environment features on outdoor jogging with explainable machine learning

Cities·2024·3 authors·Open access

98citations

Environmental factors for outdoor jogging in Beijing: Insights from using explainable spatial machine learning and massive trajectory data

Landscape and Urban Planning·2023·5 authors

176citations

Exploring nonlinear effects of built environment on jogging behavior using random forest

Applied Geography·2023·4 authors

96citations

Examining the influence of neighborhood and street-level built environment on fitness jogging in Chengdu, China: A massive GPS trajectory data analysis

Journal of Transport Geography·2023·4 authors

71citations

Characterizing the activity patterns of outdoor jogging using massive multi-aspect trajectory data

Computers Environment and Urban Systems·2022·5 authors

44citations