Yan Shi

Orcid: 0000-0002-9136-9764

Affiliations:
  • Central South University, Department of Geo-Informatics, Changsha, China


According to our database1, Yan Shi authored at least 28 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
DKNN: deep kriging neural network for interpretable geospatial interpolation.
Int. J. Geogr. Inf. Sci., August, 2024

Delineating Source and Sink Zones of Trip Journeys in the Road Network Space.
ISPRS Int. J. Geo Inf., 2024

2023
MVCV-Traffic: multiview road traffic state estimation via cross-view learning.
Int. J. Geogr. Inf. Sci., October, 2023

Road Extraction from High-Resolution Remote Sensing Images via Local and Global Context Reasoning.
Remote. Sens., September, 2023

Sensing Travel Source-Sink Spatiotemporal Ranges Using Dockless Bicycle Trajectory via Density-Based Adaptive Clustering.
Remote. Sens., August, 2023

2022
A Sequential Pattern Mining Based Approach to Adaptively Detect Anomalous Paths in Floating Vehicle Trajectories.
IEEE Trans. Intell. Transp. Syst., 2022

HSETA: A Heterogeneous and Sparse Data Learning Hybrid Framework for Estimating Time of Arrival.
IEEE Trans. Intell. Transp. Syst., 2022

An Adaptive Route Planning Method of Connected Vehicles for Improving the Transport Efficiency.
ISPRS Int. J. Geo Inf., 2022

Discovering source areas of disease outbreaks based on ring-shaped hotspot detection in road network space.
Int. J. Geogr. Inf. Sci., 2022

2021
Detecting anomalous spatial interaction patterns by maximizing urban population carrying capacity.
Comput. Environ. Urban Syst., 2021

Detecting statistically significant geographical anomalous regions from spatial sampling points by coupling Gaussian function and multidirectional optimization.
Trans. GIS, 2021

A Temporal Directed Graph Convolution Network for Traffic Forecasting Using Taxi Trajectory Data.
ISPRS Int. J. Geo Inf., 2021

Detecting spatiotemporal extents of traffic congestion: a density-based moving object clustering approach.
Int. J. Geogr. Inf. Sci., 2021

2019
Detection of clusters in traffic networks based on spatio-temporal flow modeling.
Trans. GIS, 2019

A Multilevel Visual Feature-Based Approach for Measuring the Spatial Information in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

A density-based approach for detecting network-constrained clusters in spatial point events.
Int. J. Geogr. Inf. Sci., 2019

2018
A graph-based approach for detecting spatial cross-outliers from two types of spatial point events.
Comput. Environ. Urban Syst., 2018

Detecting anomalies in spatio-temporal flow data by constructing dynamic neighbourhoods.
Comput. Environ. Urban Syst., 2018

A dynamic human activity-driven model for mixed land use evaluation using social media data.
Trans. GIS, 2018

A non-parametric statistical test method to detect significant cross-outliers in spatial points.
Trans. GIS, 2018

2017
A Spatial Anomaly Points and Regions Detection Method Using Multi-Constrained Graphs and Local Density.
Trans. GIS, 2017

2016
Adaptive detection of spatial point event outliers using multilevel constrained Delaunay triangulation.
Comput. Environ. Urban Syst., 2016

A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter.
ISPRS Int. J. Geo Inf., 2016

2015
An Iterative Detection and Removal Method for Detecting Spatial Clusters of Different Densities.
Trans. GIS, 2015

2013
Adaptive spatial clustering in the presence of obstacles and facilitators.
Comput. Geosci., 2013

A general method of spatio-temporal clustering analysis.
Sci. China Inf. Sci., 2013

2012
A density-based spatial clustering algorithm considering both spatial proximity and attribute similarity.
Comput. Geosci., 2012

2011
An adaptive spatial clustering algorithm based on delaunay triangulation.
Comput. Environ. Urban Syst., 2011


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