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Na Jiang · Study

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Na Jiang

4 works· latest 2023· 2 institutionscluster: provisionalORCID 0000-0001-9161-8954

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i102

Citations56

Works here4

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23

Most cited in this library

A method to create a synthetic population with social networks for geographically-explicit agent-based models2022 · 35 citations
Simulating Urban Shrinkage in Detroit via Agent-Based Modeling2021 · 13 citations
Leveraging newspapers to understand urban issues: A longitudinal analysis of urban shrinkage in Detroit2023 · 4 citations
Utilizing Agents to Explore Urban Shrinkage: A Case Study of Detroit2020 · 4 citations

Works

4 shown

Leveraging newspapers to understand urban issues: A longitudinal analysis of urban shrinkage in Detroit

Environment and Planning B Urban Analytics and City Science·2023·4 authors·Open access

4citations

A method to create a synthetic population with social networks for geographically-explicit agent-based models

Computational Urban Science·2022·5 authors·Open access

35citations

Simulating Urban Shrinkage in Detroit via Agent-Based Modeling

Sustainability·2021·4 authors·Open access

13citations

Utilizing Agents to Explore Urban Shrinkage: A Case Study of Detroit

Spring Simulation Multiconference·2020·2 authors·other·Open access

4citations