Fan, Xudong, and Jürgen Hackl. (2025) 2025. “Modeling of Spatially Embedded Networks via Regional Spatial Graph Convolutional Networks”. Computer-Aided Civil and Infrastructure Engineering 40: 427–444. doi:10.1111/mice.13286.

Fan, Xudong, and Jürgen Hackl. 2023. “AI-Aided Modeling and Rapid Recovery for Networked Infrastructure Systems under Natural Hazards”. In Infrastructure Innovation & Adaptation for a Sustainable & Resilient World (ASCE INSPIRE). Arlington, VA, USA: ASCE.

Fan, Xudong, and Jürgen Hackl. 2024. “Advanced Network Representation Using Graph Convolutional Networks”. In AI in Motion: Shaping the Future of Mobility & Safety Symposium. Austin, TX, USA: TxDOT.

Fan, Xudong, and Jürgen Hackl. (2024) 2024. “Regional Spatial Graph Convolutional Network (RSGCN)”. doi:10.5281/ZENODO.11584148.

Fan, Xudong, and Jürgen Hackl. 2024. “Topology Inference of Spatially Embedded Network Using Graph Convolutional Networks”. In NetSci 2024. Québec City, CA.

Fan, Xudong, Yishuo Jiang, Ray Y. Zhong, Fabio Duarte, Waishan Qiu, Jürgen Hackl, and Miroslaw J. Skibniewski. (2025) 2025. “Advancements and Potential Pitfalls for Smart Cities and Sentient Infrastructures”. Digital Engineering 5: 100036. doi:10.1016/j.dte.2025.100036.

Fan, Xudong, and Jürgen Hackl. (2025) 2025. “Code and Data: Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning (GMu-SGCN)”. Zenodo. doi:10.5281/ZENODO.14798994.

Fan, Xudong, and Jürgen Hackl. 2025. “Generic Multimodal Spatially Graph Convolutional Network Learning for Spatially Embedded Network Representation.”

Fan, Xudong, and Jürgen Hackl. (2024) 2024. “Modeling of Spatially Embedded Networks via Regional Spatial Graph Convolutional Networks”. Computer-Aided Civil and Infrastructure Engineering n/a. doi:10.1111/mice.13286.