Yan Shi
Orcid: 0000-0002-9136-9764Affiliations:
- Central South University, Department of Geo-Informatics, Changsha, China
According to our database1,
Yan Shi
authored at least 26 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
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
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
Comput. Geosci., 2013
2012
A density-based spatial clustering algorithm considering both spatial proximity and attribute similarity.
Comput. Geosci., 2012
2011
Comput. Environ. Urban Syst., 2011