| Deep-MAPS: Machine-learning-based mobile air pollution sensing J Song, K Han, MEJ Stettler IEEE Internet of Things Journal 8 (9), 7649-7660, 2020 | 51 | 2020 |
| A novel multi-pollutant space-time learning network for air pollution inference J Song, MEJ Stettler Science of The Total Environment 811, 152254, 2022 | 40 | 2022 |
| Toward high-performance map-recovery of air pollution using machine learning J Song, H Fan, M Gao, Y Xu, M Ran, X Liu, Y Guo ACS ES&T Engineering 3 (1), 73-85, 2022 | 20 | 2022 |
| ST-Bikes: Predicting Travel-Behaviors of Sharing-Bikes Exploiting Urban Big Data J Chai, J Song, H Fan, Y Xu, L Zhang, B Guo, Y Xu IEEE Transactions on Intelligent Transportation Systems 24 (7), 7676-7686, 2022 | 8 | 2022 |
| Vehicle-based machine vision approaches in intelligent connected system C Ma, J Song, Y Xu, H Fan, X Wu, T Sun IEEE Transactions on Intelligent Transportation Systems 25 (3), 2827-2836, 2023 | 6 | 2023 |
| CA-STD: Scene text detection in arbitrary shape based on conditional attention X Wu, Y Qi, J Song, J Yao, Y Wang, Y Liu, Y Han, Q Qian Information 13 (12), 565, 2022 | 6 | 2022 |
| Where to place methane monitoring sites in China to better assist carbon management X Zhang, C Zhou, Y Zhang, X Lu, X Xiao, F Wang, J Song, Y Guo, ... npj Climate and Atmospheric Science 6 (1), 32, 2023 | 4 | 2023 |
| Towards space-time modelling of PM2. 5 inhalation volume with ST-exposure J Song Science of The Total Environment 948, 174888, 2024 | 3 | 2024 |
| Exploring Urban Air Quality with MAPS: Mobile Air Pollution Sensing J Song, K Han arXiv preprint arXiv:1904.12303, 2019 | 3 | 2019 |
| Machine learning‐driven spatiotemporal analysis of ozone exposure and health risks in China C Ma, J Song, M Ran, Z Wan, Y Guo, M Gao Journal of Geophysical Research: Atmospheres 129 (20), e2024JD041593, 2024 | 2 | 2024 |
| Enhancing the Applicability of Satellite Remote Sensing for PM2.5 Estimation Using Machine Learning Models in China J Chai, J Song, Y Xu, L Zhang, B Guo Journal of Sensors 2022 (1), 7148682, 2022 | 2 | 2022 |
| The Bus Line Supporting System Based On Learning Neural Network Model Applied In GIS J Song, S Quan 2015 5th International Conference on Computer Sciences and Automation …, 2016 | 2 | 2016 |
| Planning of dynamic routing of logistics in urban public sports facilities based on MAS J Yuan, J Song, Y Zhang, C Jiang, F Xu ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation, 1156-1162, 2013 | 2 | 2013 |
| Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning C Ma, J Song, Y Xu, H Fan, X Liu, X Wu, Y Luo, T Sun, J Xie Neural Computing and Applications 35 (36), 25097-25106, 2023 | 1 | 2023 |
| Analysis of Model of Community Sports Logistics Distribution Center Location under Electronic Commerce F Xu, J Song, J Yuan, C Jiang ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation, 1281-1286, 2013 | 1 | 2013 |
| NPGCL: neighbor enhancement and embedding perturbation with graph contrastive learning for recommendation X Wu, H Wang, J Yao, Q Qian, J Song Applied Intelligence 55 (6), 1-17, 2025 | | 2025 |
| An Intelligent Learning Reconfiguration Model Based on Optimized Transformer and Multi-Source Features (TMSF) for High-Precision InSAR DEM Void Filling T Zhang, Y Chen, R Zhu, JP Wilson, J Song, R Chen, L Liu, L Bao IEEE Transactions on Geoscience and Remote Sensing, 2025 | | 2025 |
| STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting X Wu, C Cai, X Wang, J Wang, J Yao, Q Qian, J Song International Conference on Pattern Recognition, 209-223, 2024 | | 2024 |
| Candidate Evaluation with Multimodal Data-Driven for Recruitment X Wu, K Liu, J Wang, J Yao, B Deng, R Lv, J Song International Conference on Pattern Recognition, 81-96, 2024 | | 2024 |
| Smart Meters: Using Numerical Models to Simulate the Impact of Changing the Way of Using Electricity Used for the Average UK Household on Household Energy Consumption L Li, Y Guo, X Wu, C Ma, J Song Available at SSRN 4555063, 0 | | |
Marc E.J. StettlerProfessor of Transport and Environment, Department of Civil and Environmental Engineering, Imperial確認したメール アドレス: imperial.ac.uk
