Graph-based Spatial Modeling
Graph-Based Spatial Modeling is a computational framework that represents biological entities and their spatial relationships as a graph, where nodes denote spatially resolved biological components and edges encode their spatial interactions or proximity, enabling the analysis of tissue architecture and cellular organization in a structured, topology-preserving manner.
15
Publications
858
Citations
61
Authors
32
Institutions
Publications per year
2017–2026
7
Parents
15
Detecting graph-based spatial outliers
Shashi Shekhar, Chang‐Tien Lu, Pusheng Zhang · 2001 · 165 citations
1–5 of 15
61
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 61
32
Universidad de Navarra
Pamplona, Spain
2 h-index
2 publications
94 citations

Bilkent University
Ankara, Türkiye
1 h-index
2 publications
52 citations
National University of Singapore
Singapore, Singapore
1 h-index
1 publications
50 citations
Centro de Investigación Biomédica en Red de Cáncer
Madrid, Spain
1 h-index
1 publications
78 citations

The Francis Crick Institute
London, United Kingdom
1 h-index
2 publications
156 citations
University of California, San Francisco
San Francisco, United States
1 h-index
1 publications
16 citations
Southwestern Medical Center
Lawton, United States
1 h-index
3 publications
117 citations
Technical University of Munich
Munich, Germany
1 h-index
3 publications
609 citations
1–8 of 32
LNCS · Book series · 2 publications · 31 citations
2
h-index
2 publications · 134 citations
2
h-index
1 publications · 18 citations
1
h-index
1 publications · 16 citations
1
h-index
1 publications · 78 citations
1
h-index
1–5