CITYJSON + WEB = NINJA

11 citations as recorded by crossref.

1. Low-Cost Data, High-Quality Models: A Semi-Automated Approach to LOD3 Creation . Harshit et al. https://doi.org/10.3390/ijgi13040119
2. Generating photorealistic urban digital twins with Occlusion-Aware texture mapping M. Büyükdemircioğlu & S. Oude Elberink https://doi.org/10.1016/j.jag.2025.105002
3. Near Real-Time Semantic View Analysis of 3D City Models in Web Browser J. Virtanen et al. https://doi.org/10.3390/ijgi10030138
4. Predicting building characteristics at urban scale using graph neural networks and street-level context B. Lei et al. https://doi.org/10.1016/j.compenvurbsys.2024.102129
5. An interoperable web-based application for 3d city modelling and analysis Z. Usta et al. https://doi.org/10.1007/s12145-023-01167-5
6. Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction B. Vaienti et al. https://doi.org/10.3390/rs15133352
7. Reviewing the versioning in 3D city model to track building history and progress N. Idris et al. https://doi.org/10.1088/1755-1315/1412/1/012035
8. VoxCity: A seamless framework for open geospatial data integration, grid-based semantic 3D city model generation, and urban environment simulation K. Fujiwara et al. https://doi.org/10.1016/j.compenvurbsys.2025.102366
9. OSMsc: a framework for semantic 3D city modeling using OpenStreetMap R. Ma et al. https://doi.org/10.1080/13658816.2023.2266824
10. Developing the urban comfort index: Advancing liveability analytics with a multidimensional approach and explainable artificial intelligence B. Lei et al. https://doi.org/10.1016/j.scs.2024.106121
11. Visualization of Urban Digital Twins on the web with attribute-driven adaptive tiling Z. Usta et al. https://doi.org/10.1016/j.envsoft.2026.106863