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Xicheng Tan

Biographic Data

ID7569170
NAMEXicheng Tan
GIVEN NAMESXicheng
FAMILY NAMETan
SIGNATURETAN X
AFFILIATIONSWuhan University
ORCID0000-0002-8431-1441
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Fine-scale mapping and spatiotemporal heterogeneity analysis of industrial CO2 emissions using nighttime light remote sensing in mainland China

    Open Access•Zilong Qin, Jiang Li et al.•ARTICLE•Environment Development and…•2025

  • Finding and Evaluating Community Structures in Spatial Networks

    Open Access•You Wan, Xicheng Tan et al.•ARTICLE•ISPRS International Journal of…•2023

    Community detection can reveal unknown spatial structures embedded in spatial networks. Current spatial community detection methods are mostly modularity-based. However, due to the lack of appropriate spatial networks serving as a benchmark, the accuracy and effectiveness of these methods have not been tested sufficiently so far. This study first introduced a spatial autoregressive and gravity model united method (SARGM) to simulate benchmark spa…

  • Modeling urban growth by coupling localized spatio-temporal association analysis and binary logistic regression

    Open Access•Yuwei Wang, Zongyao Sha et al.•ARTICLE•Computers Environment and Urban…•2020

No prominent works on this page.

  • Modeling urban growth by coupling localized spatio-temporal association analysis and binary logistic regression

    Open Access•Yuwei Wang, Zongyao Sha et al.•ARTICLE•Computers Environment and Urban…•2020

  • Finding and Evaluating Community Structures in Spatial Networks

    Open Access•You Wan, Xicheng Tan et al.•ARTICLE•ISPRS International Journal of…•2023

    Community detection can reveal unknown spatial structures embedded in spatial networks. Current spatial community detection methods are mostly modularity-based. However, due to the lack of appropriate spatial networks serving as a benchmark, the accuracy and effectiveness of these methods have not been tested sufficiently so far. This study first introduced a spatial autoregressive and gravity model united method (SARGM) to simulate benchmark spa…

  • Fine-scale mapping and spatiotemporal heterogeneity analysis of industrial CO2 emissions using nighttime light remote sensing in mainland China

    Open Access•Zilong Qin, Jiang Li et al.•ARTICLE•Environment Development and…•2025

Cartography (3 works) · Geography (3 works) · Environmental Science (2 works) · Impact of Light on Environment and Health (2 works) · Mathematics (2 works) · Remote sensing (2 works) · Statistics (2 works) · Air Quality and Health Impacts (1 work) · Artificial Intelligence (1 work) · Atmospheric and Environmental Gas Dynamics (1 work)

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