| Mapping landslide susceptibility and types using random forest K Taalab, T Cheng, Y Zhang Big Earth Data 2 (2), 159-178, 2018 | 251 | 2018 |
| A graph deep learning method for short-term traffic forecasting on large road networks Y Zhang, T Cheng, Y Ren Computer-Aided Civil and Infrastructure Engineering 34 (10), 877–896, 2019 | 99 | 2019 |
| A novel residual graph convolution deep learning model for short-term network-based traffic forecasting Y Zhang, T Cheng, Y Ren, K Xie International Journal of Geographical Information Science 34 (5), 969-995, 2020 | 96 | 2020 |
| Graph deep learning model for network-based predictive hotspot mapping of sparse spatio-temporal events Y Zhang, T Cheng Computers, Environment and Urban Systems 79, 101403, 2020 | 78 | 2020 |
| A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes Y Ren, H Chen, Y Han, T Cheng, Y Zhang, G Chen International Journal of Geographical Information Science 34 (4), 802-823, 2020 | 64 | 2020 |
| Online capacity estimation of lithium-ion batteries based on novel feature extraction and adaptive multi-kernel relevance vector machine Y Zhang, B Guo Energies 8 (11), 12439-12457, 2015 | 62 | 2015 |
| Deep spatio-temporal residual neural networks for road-network-based data modeling Y Ren, T Cheng, Y Zhang International Journal of Geographical Information Science 33 (9), 1894-1912, 2019 | 47 | 2019 |
| A deep learning approach to infer employment status of passengers by using smart card data Y Zhang, T Cheng IEEE Transactions on Intelligent Transportation Systems 21 (2), 617-629, 2020 | 39 | 2020 |
| Bayesian framework for satellite rechargeable lithium battery synthesizing bivariate degradation and lifetime data Y Zhang, X Jia, B Guo Journal of Central South University 25 (2), 418-431, 2018 | 37 | 2018 |
| You are how you travel: A multi-task learning framework for geodemographic inference using transit smart card data Y Zhang, NS Aslam, J Lai, T Cheng Computers, Environment and Urban Systems 83, 101517, 2020 | 35 | 2020 |
| ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs N Sari Aslam, MR Ibrahim, T Cheng, H Chen, Y Zhang Geo-Spatial Information Science 24 (4), 711-721, 2021 | 22 | 2021 |
| Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London N Sari Aslam, D Zhu, T Cheng, MR Ibrahim, Y Zhang Annals of GIS 27 (1), 29-41, 2021 | 18 | 2021 |
| Exploring the relationship between travel pattern and social-demographics using smart card data and household survey Y Zhang, T Cheng, N Sari Aslam ISPRS-International Archives of the Photogrammetry, Remote Sensing and …, 2019 | 12 | 2019 |
| Inferring social-demographics of travellers based on smart card data Y Zhang, T Cheng 2nd International Conference on Advanced Research Methods and Analytics …, 2018 | 12 | 2018 |
| Exploring the homogeneity of theft offenders in spatio-temporal crime hotspots T Chen, K Bowers, T Cheng, Y Zhang, P Chen Crime Science 9 (1), 1-13, 2020 | 8 | 2020 |
| A novel excess commuting framework: Considering commuting efficiency and equity simultaneously Y Zhang, Y Zhang, J Zhou Environment and Planning B: Urban Analytics and City Science, 2019 | 7 | 2019 |
| Deep learning for demographic prediction based on smart card data and household survey Y Zhang, T Cheng, N Sari Aslam Proceedings of the 27th Conference on GIS Research UK (GISRUK) 2019, 2019 | 6 | 2019 |
| Feature Extraction for Long-term Travel Pattern Analysis Y Zhang, T Cheng Proceedings of the 22th GISRUK conference, Manchester, UK, 2017 | 6 | 2017 |
| Dynamic Spreading of COVID-19 Versus Community Mobility in Regions of England T Cheng, X Zhong, Y Liu, Y Zhang, G Dong Mapping COVID-19 in space and time: Understanding the spatial and temporal …, 2021 | 4 | 2021 |
| Graph deep learning models for network-based spatio-temporal data forecasting: from dense to sparse Y Zhang UCL (University College London), 2020 | 3 | 2020 |
Tao ChengProfessor in GeoInformatics, University College LondonEmail verificata su ucl.ac.uk