| Geospatial big data handling theory and methods: A review and research challenges S Li, S Dragicevic, FA Castro, M Sester, S Winter, A Coltekin, C Pettit, ... ISPRS journal of Photogrammetry and Remote Sensing 115, 119-133, 2016 | 574 | 2016 |
| Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification A Bolbol, T Cheng, I Tsapakis, J Haworth Computers, Environment and Urban Systems, 2012 | 260 | 2012 |
| Spatio-temporal autocorrelation of road network data T Cheng, J Haworth, J Wang Journal of Geographical Systems, 1-25, 2011 | 216 | 2011 |
| Understanding cities with machine eyes: A review of deep computer vision in urban analytics MR Ibrahim, J Haworth, T Cheng Cities 96, 102481, 2020 | 151 | 2020 |
| Non-parametric regression for space–time forecasting under missing data J Haworth, T Cheng Computers, Environment and Urban Systems 36 (6), 538-550, 2012 | 135 | 2012 |
| A dynamic spatial weight matrix and localized space–time autoregressive integrated moving average for network modeling T Cheng, J Wang, J Haworth, B Heydecker, A Chow Geographical Analysis 46 (1), 75-97, 2014 | 105 | 2014 |
| Local online kernel ridge regression for forecasting of urban travel times J Haworth, J Shawe-Taylor, T Cheng, J Wang Transportation research part C: emerging technologies 46, 151-178, 2014 | 91 | 2014 |
| Improved methods for fire risk assessment in low-income and informal settlements J Twigg, N Christie, J Haworth, E Osuteye, A Skarlatidou International journal of environmental research and public health 14 (2), 139, 2017 | 90 | 2017 |
| Exploratory visualisation of congestion evolutions on urban transport networks T Cheng, G Tanaksaranond, C Brunsdon, J Haworth Transportation Research Part C: Emerging Technologies 36, 296-306, 2013 | 81 | 2013 |
| Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics T Bantis, J Haworth Transportation Research Part C: Emerging Technologies 80, 286-309, 2017 | 77 | 2017 |
| WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning MR Ibrahim, J Haworth, T Cheng ISPRS International Journal of Geo-Information 8 (12), 549, 2019 | 70 | 2019 |
| Spatio-temporal data mining T Cheng, J Haworth, B Anbaroglu, G Tanaksaranond, J Wang | 69* | 2012 |
| Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe MR Ibrahim, J Haworth, A Lipani, N Aslam, T Cheng, N Christie PloS one 16 (1), e0246120, 2021 | 63 | 2021 |
| URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision MR Ibrahim, J Haworth, T Cheng Environment and Planning B: Urban Analytics and City Science 48 (1), 76-93, 2021 | 49 | 2021 |
| predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning MR Ibrahim, H Titheridge, T Cheng, J Haworth Computers, Environment and Urban Systems 76, 31-56, 2019 | 47 | 2019 |
| Assessing transport related social exclusion using a capabilities approach to accessibility framework: A dynamic Bayesian network approach T Bantis, J Haworth Journal of Transport Geography 84, 102673, 2020 | 40 | 2020 |
| Advances in geocomputation (1996-2011) T Cheng, J Haworth, E Manley Computers, Environment and Urban Systems 36 (6), 481-487, 2012 | 28 | 2012 |
| Investigating the potential of activity tracking app data to estimate cycle flows in urban areas J Haworth ISPRS-International Archives of the Photogrammetry, Remote Sensing and …, 2016 | 20 | 2016 |
| A spatiotemporal Bayesian hierarchical approach to investigating patterns of confidence in the police at the neighborhood level D Williams, J Haworth, M Blangiardo, T Cheng Geographical analysis 51 (1), 90-110, 2019 | 19 | 2019 |
| Modelling dynamic space-time autocorrelations of urban transport network T CHENG, J Wang, J Haworth, B Heydecker, A Chow University College London, 2011 | 19 | 2011 |
Tao ChengProfessor in GeoInformatics, University College London在 ucl.ac.uk 的电子邮件经过验证
