An-Shu Zhang

Orcid: 0000-0001-7158-8292

According to our database1, An-Shu Zhang authored at least 15 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Evaluation of the Resilience of the Catering Industry in Hong Kong before and after the COVID-19 Outbreak Based on Point-of-Interest Data.
ISPRS Int. J. Geo Inf., October, 2023

2022
Prospective for urban informatics.
Urban Inform., 2022

Extracting Human Activity Areas from Large-Scale Spatial Data with Varying Densities.
ISPRS Int. J. Geo Inf., 2022

2021
Mapping Microscale PM2.5 Distribution on Walkable Roads in a High-Density City.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development.
ISPRS Int. J. Geo Inf., 2021

A Data-Driven Framework for Analyzing Spatial Distribution of the Elderly Cardholders by Using Smart Card Data.
ISPRS Int. J. Geo Inf., 2021

Analysis of the performance and robustness of methods to detect base locations of individuals with geo-tagged social media data.
Int. J. Geogr. Inf. Sci., 2021

2020
New Scheme for Impervious Surface Area Mapping From SAR Images With Auxiliary User-Generated Content.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Analysis of the Temporal Characteristics of the Elderly Traveling by Bus Using Smart Card Data.
ISPRS Int. J. Geo Inf., 2020

Mining significant fuzzy association rules with differential evolution algorithm.
Appl. Soft Comput., 2020

2019
Recommending attractive thematic regions by semantic community detection with multi-sourced VGI data.
Int. J. Geogr. Inf. Sci., 2019

2018
Towards Detecting Social Events by Mining Geographical Patterns with VGI Data.
ISPRS Int. J. Geo Inf., 2018

Mining significant crisp-fuzzy spatial association rules.
Int. J. Geogr. Inf. Sci., 2018

2016
Mining significant association rules from uncertain data.
Data Min. Knowl. Discov., 2016

2013
Spatial analysis of water mains failure clusters and factors: a Hong Kong case study.
Ann. GIS, 2013


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