| A review of spatially-explicit GeoAI applications in Urban Geography P Liu, F Biljecki International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 115 | 2022 |
| Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image Y Zhang, P Liu, F Biljecki ISPRS Journal of Photogrammetry and Remote Sensing 198, 153-168, 2023 | 48 | 2023 |
| Towards Human-centric Digital Twins: Leveraging Computer Vision and Graph Models to Predict Outdoor Comfort P Liu, T Zhao, J Luo, B Lei, M Frei, C Miller, F Biljecki Sustainable Cities and Society 93, 104480, 2023 | 47 | 2023 |
| Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review S Wang, X Huang, P Liu, M Zhang, F Biljecki, T Hu, X Fu, L Liu, X Liu, ... International Journal of Applied Earth Observation and Geoinformation 128 …, 2024 | 30 | 2024 |
| Iterative reweighted tikhonov-regularized multihypothesis prediction scheme for distributed compressive video sensing C Chen, C Zhou, P Liu, D Zhang IEEE Transactions on Circuits and Systems for Video Technology 30 (1), 1-10, 2018 | 26 | 2018 |
| Coupling a Physical Replica with a Digital Twin: A Comparison of Participatory Decision-Making Methods in an Urban Park Environment J Luo, P Liu, L Cao ISPRS International Journal of Geo-Information 11 (8), 452, 2022 | 25 | 2022 |
| A graph-based semi-supervised approach to classification learning in digital geographies P Liu, S De Sabbata Computers, Environment and Urban Systems 86, 101583, 2021 | 22 | 2021 |
| Explainable spatially explicit geospatial artificial intelligence in urban analytics P Liu, Y Zhang, F Biljecki Environment and Planning B: Urban Analytics and City Science 51 (5), 1104-1123, 2024 | 20 | 2024 |
| Predicting building characteristics at urban scale using graph neural networks and street-level context B Lei, P Liu, N Milojevic-Dupont, F Biljecki Computers, Environment and Urban Systems 111, 102129, 2024 | 12 | 2024 |
| Shallow-guided transformer for semantic segmentation of hyperspectral remote sensing imagery Y Chen, P Liu, J Zhao, K Huang, Q Yan Remote Sensing 15 (13), 3366, 2023 | 12 | 2023 |
| Extracting locations from sport and exercise-related social media messages using a neural network-based bilingual toponym recognition model P Liu, SM Koivisto, T Hiippala, CJC Van der Lijn, TLA Väisänen, ... Journal of Spatial Information Science 24, 31-61, 2022 | 12 | 2022 |
| A graph neural network framework for spatial geodemographic classification S De Sabbata, P Liu International Journal of Geographical Information Science 37 (12), 2464-2486, 2023 | 10 | 2023 |
| Deep learning geodemographics with autoencoders and geographic convolution S De Sabbata, P Liu Proceedings of the 22nd AGILE conference on Geographic Information Science …, 2019 | 8 | 2019 |
| A perception-powered urban digital twin to support human-centered urban planning and sustainable city development J Luo, P Liu, W Xu, T Zhao, F Biljecki Cities 156, 105473, 2025 | 7 | 2025 |
| Estimating locations of social media content through a graph-based link prediction P Liu, S De Sabbata Proceedings of the 13th Workshop on Geographic Information Retrieval, 1-4, 2019 | 6 | 2019 |
| How does spatial structure affect psychological restoration? A method based on graph neural networks and street view imagery H Ma, Y Zhang, P Liu, F Zhang, P Zhu Landscape and Urban Planning 251, 105171, 2024 | 3 | 2024 |
| Learning urban form through unsupervised graph-convolutional neural networks S De Sabbata, A Ballatore, P Liu, Tate, N J. The 2nd International Workshop on Geospatial Knowledge Graphs and GeoAI …, 2023 | 2 | 2023 |
| Adaptive Reconstruction for Block-based Image Compressed Sensing via A Texture-gated Network C Chen, P Liu, Y Zhou, C Zhou, D Zhang 2023 42nd Chinese Control Conference (CCC), 7542-7546, 2023 | 1 | 2023 |
| Learning Digital Geographies through a Graph-Based Semi-supervised Approach P Liu, SD Sabbata GeoComputation 2019, 2019 | 1 | 2019 |
| Thermal comfort in sight: Thermal affordance and its visual assessment for sustainable streetscape design S Yang, A Chong, P Liu, F Biljecki Building and Environment, 112569, 2025 | | 2025 |
Filip BiljeckiAssistant Professor, Urban Analytics Lab, National University of SingaporeZweryfikowany adres z nus.edu.sg