A survey of road feature extraction methods from raster maps. - Chenjing Jiao; Magnus Heitzler; Lorenz Hurni (Trans. GIS, 2021)

A fast and effective deep learning approach for road extraction from historical maps by automatically generating training data with symbol reconstruction. - Chenjing Jiao; Magnus Heitzler; Lorenz Hurni (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Contrastive Pretraining for Railway Detection: Unveiling Historical Maps with Transformers. - Xue Xia; Chenjing Jiao; Lorenz Hurni (GeoAI@SIGSPATIAL, 2023)

Probabilistic road classification in historical maps using synthetic data and deep learning. - Dominik J. Mühlematter; Sebastian Schweizer; Chenjing Jiao; Xue Xia; Magnus Heitzler; Lorenz Hurni (CoRR, 2024)

A novel framework for road vectorization and classification from historical maps based on deep learning and symbol painting. - Chenjing Jiao; Magnus Heitzler; Lorenz Hurni (Comput. Environ. Urban Syst., 2024)

Constructing AI ethics narratives based on real-world data: Human-AI collaboration in data-driven visual storytelling. - Mengyi Wei; Chenjing Jiao; Chenyu Zuo; Lorenz Hurni; Liqiu Meng (CoRR, 2025)