Suhong Zhou

Orcid: 0000-0002-1900-0671

According to our database1, Suhong Zhou authored at least 14 papers between 2015 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Improving next location prediction with inferred activity semantics in mobile phone data.
Int. J. Digit. Earth, December, 2025

Siamese text classification network (SiamTCN) for multi-class multi-label information extraction of typhoon disasters from social media data.
Int. J. Digit. Earth, December, 2025

Integrating Time-Series Nighttime Light Data With Static Remote Sensing and Village View Images for Hollow Villages Identification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2022
Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea.
Comput. Environ. Urban Syst., 2022

Contact-Fraud Victimization among Urban Seniors: An Analysis of Multilevel Influencing Factors.
ISPRS Int. J. Geo Inf., 2022

2021
Burglars blocked by barriers? The impact of physical and social barriers on residential burglars' target location choices in China.
Comput. Environ. Urban Syst., 2021

Discovering Spatial-Temporal Indication of Crime Association (STICA).
ISPRS Int. J. Geo Inf., 2021

2019
The relationship between centrality and land use patterns: Empirical evidence from five Chinese metropolises.
Comput. Environ. Urban Syst., 2019

2018
Journey-to-Crime Distances of Residential Burglars in China Disentangled: Origin and Destination Effects.
ISPRS Int. J. Geo Inf., 2018

2017
Scaling laws of spatial visitation frequency: Applications for trip frequency prediction.
Comput. Environ. Urban Syst., 2017

Modeling Spatial Effect in Residential Burglary: A Case Study from ZG City, China.
ISPRS Int. J. Geo Inf., 2017

Spatial Variation Relationship between Floating Population and Residential Burglary: A Case Study from ZG, China.
ISPRS Int. J. Geo Inf., 2017

2016
Learning group-based sparse and low-rank representation for hyperspectral image classification.
Pattern Recognit., 2016

2015
Anisotropically foveated nonlocal weights for joint sparse representation-based hyperspectral classification.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015


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