SKATER-CON: Unsupervised Regionalization via Stochastic Tree Partitioning within a Consensus Framework Using Random Spanning Trees: Research Paper. - Orhun Aydin; Mark V. Janikas; Renato M. Assunção; Ting-Hwan Lee (GeoAI@SIGSPATIAL, 2018)

Artificial Intelligence Approaches. - Yingjie Hu; Wenwen Li 002; Dawn J. Wright; Orhun Aydin; Daniel Wilson; Omar Maher; Mansour Raad (CoRR, 2019)

Sensitivity Analysis for COVID-19 Epidemiological Models within a Geographic Framework. - Zhongying Wang; Orhun Aydin (COVID@SIGSPATIAL, 2020)

A quantitative comparison of regionalization methods. - Orhun Aydin; Mark V. Janikas; Renato Martins Assunção; Ting-Hwan Lee (Int. J. Geogr. Inf. Sci., 2021)

Density-based cluster detection at multiple spatial scales via kullback-leibler divergence of reachability profiles. - Orhun Aydin; Carlos Osorio-Murillo; Cheng-Chia Huang (GeoAI@SIGSPATIAL, 2022)

arcgisbinding: An R package for integrating R and ArcGIS. - Orhun Aydin; Dmitry Pavlushko; Shaun Walbridge; Steve Kopp; Mark V. Janikas (Environ. Model. Softw., 2024)

An improved localization algorithm to replace faulty nodes for an IoT network using weighted grey wolf optimization. - Vivek Kanwar; Orhun Aydin (Int. J. Commun. Syst., 2024)

A five-year milestone: reflections on advances and limitations in GeoAI research. - Yingjie Hu; Michael F. Goodchild; A-Xing Zhu; May Yuan; Orhun Aydin; Budhendra Bhaduri; Song Gao 001; Wenwen Li 002; Dalton D. Lunga; Shawn D. Newsam (Ann. GIS, 2024)