The Aggregation of Urban Building Clusters Based on the Skeleton Partitioning of Gap Space. - Tinghua Ai; Xiang Zhang 010 (AGILE Conf., 2007)

A Voronoi-Like Model of Spatial Autocorrelation for Characterizing Spatial Patterns in Vector Data. - Xiang Zhang 010; Tinghua Ai; Jantien E. Stoter (ISVD, 2009)

Characterization and Detection of Building Patterns in Cartographic Data: Two Algorithms. - Xiang Zhang 010; Tinghua Ai; Jantien E. Stoter (SDH, 2010)

Formalization and Data Enrichment for Automated Evaluation of Building Pattern Preservation. - Xiang Zhang 010; Jantien E. Stoter; Tinghua Ai; Menno-Jan Kraak (SDH, 2010)

Building pattern recognition in topographic data: examples on collinear and curvilinear alignments. - Xiang Zhang 010; Tinghua Ai; Jantien E. Stoter; Menno-Jan Kraak; Martien Molenaar (GeoInformatica, 2013)

Automated evaluation of building alignments in generalized maps. - Xiang Zhang 010; Jantien E. Stoter; Tinghua Ai; Menno-Jan Kraak; Martien Molenaar (Int. J. Geogr. Inf. Sci., 2013)

Variation analysis of lake extension in space and time from MODIS images using random sets. - Xi Zhao 003; Alfred Stein; Xiang Zhang 010; Lian Feng; Xiaoling Chen (Int. J. Appl. Earth Obs. Geoinformation, 2014)

A vector field model to handle the displacement of multiple conflicts in building generalization. - Tinghua Ai; Xiang Zhang 010; Qi Zhou; Min Yang 006 (Int. J. Geogr. Inf. Sci., 2015)

Inferring Complex Geographical Concepts with Implicit Geometries Using Ontologies: A Case of Peninsulas. - Xiang Zhang 010; Tinghua Ai; Jantien E. Stoter (AGILE Conf., 2016)

A linear tessellation model to identify spatial pattern in urban street networks. - Yakun He; Tinghua Ai; Wenhao Yu 001; Xiang Zhang 010 (Int. J. Geogr. Inf. Sci., 2017)

Template Matching and Simplification Method for Building Features Based on Shape Cognition. - Xiongfeng Yan; Tinghua Ai; Xiang Zhang 010 (ISPRS Int. J. Geo Inf., 2017)

Updating authoritative spatial data from timely sources: A multiple representation approach. - Xiang Zhang 010; Weijun Yin; Min Yang 006; Tinghua Ai; Jantien E. Stoter (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Change Detection for Building Footprints with Different Levels of Detail Using Combined Shape and Pattern Analysis. - Xiaodong Zhou; Zhe Chen; Xiang Zhang 010; Tinghua Ai (ISPRS Int. J. Geo Inf., 2018)

A map-algebra-based method for automatic change detection and spatial data updating across multiple scales. - Min Yang 006; Tinghua Ai; Xiongfeng Yan; Yuanyuan Chen; Xiang Zhang 010 (Trans. GIS, 2018)

Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation. - Azelle Courtial; Achraf El Ayedi; Guillaume Touya; Xiang Zhang 010 (ISPRS Int. J. Geo Inf., 2020)

A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization. - Yi Xiao; Tinghua Ai; Min Yang 006; Xiang Zhang 010 (ISPRS Int. J. Geo Inf., 2020)

Analysis of Vegetative Cover Vulnerability in Rohingya Refugee Camps of Bangladesh Utilizing Landsat and Per Capita Greening Area (PCGA) Datasets. - Md Fazlul Karim; Xiang Zhang 010 (Remote. Sens., 2021)

Representing Vector Geographic Information As a Tensor for Deep Learning Based Map Generalisation. - Azelle Courtial; Guillaume Touya; Xiang Zhang 010 (AGILE Conf., 2022)

Deriving map images of generalised mountain roads with generative adversarial networks. - Azelle Courtial; Guillaume Touya; Xiang Zhang 010 (Int. J. Geogr. Inf. Sci., 2023)

How sustainable is OpenStreetMap? Tracking individual trajectories of editing behavior. - Xiang Zhang 010; Jiayan An; Yuchuan Zhou; Min Yang; Xi Zhao 003 (Int. J. Digit. Earth, 2024)

Exploring functional zone-dependent nonlinear associations between objective features and subjective perceptions: A case study in Beijing. - Zixuan Wang; Xiang Zhang 010; Yuchuan Zhou; Yiyi Jiang; Haibin Xu (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Towards More Reliable Measures for "Perceived Urban Diversity" Using Point of Interest (POI) and Geo-Tagged Photos. - Zongze He; Xiang Zhang 010 (ISPRS Int. J. Geo Inf., 2025)

From Data to Knowledge: A Knowledge Graph-Guided Framework to Deep Learning for Hyperspectral Image Classification. - Runmin Lei; Yuchuan Zhou; Zixuan Wang; Xiang Zhang 010 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)