| Traffic flow prediction with rainfall impact using a deep learning method Y Jia, J Wu, M Xu Journal of advanced transportation 2017, 2017 | 165 | 2017 |
| Rumor propagation dynamic model based on evolutionary game and anti-rumor Y Xiao, D Chen, S Wei, Q Li, H Wang, M Xu Nonlinear Dynamics 95, 523-539, 2019 | 119 | 2019 |
| Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis G Qi, Y Du, J Wu, M Xu IET intelligent transport systems 9 (8), 792-801, 2015 | 75 | 2015 |
| Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning M Xu, J Wu, L Huang, R Zhou, T Wang, D Hu Journal of Intelligent Transportation Systems 24 (1), 1-10, 2020 | 67 | 2020 |
| Discovery of critical nodes in road networks through mining from vehicle trajectories M Xu, J Wu, M Liu, Y Xiao, H Wang, D Hu IEEE Transactions on Intelligent Transportation Systems 20 (2), 583-593, 2018 | 61 | 2018 |
| Emission pattern mining based on taxi trajectory data in Beijing T Li, J Wu, A Dang, L Liao, M Xu Journal of cleaner production 206, 688-700, 2019 | 38 | 2019 |
| Urban air quality, meteorology and traffic linkages: Evidence from a sixteen-day particulate matter pollution event in December 2015, Beijing D Hu, J Wu, K Tian, L Liao, M Xu, Y Du Journal of Environmental Sciences 59, 30-38, 2017 | 38 | 2017 |
| 3-HBP: A three-level hidden Bayesian link prediction model in social networks Y Xiao, X Li, H Wang, M Xu, Y Liu IEEE Transactions on Computational Social Systems 5 (2), 430-443, 2018 | 33 | 2018 |
| Anomaly detection in road networks using sliding-window tensor factorization M Xu, J Wu, H Wang, M Cao IEEE Transactions on Intelligent Transportation Systems 20 (12), 4704-4713, 2019 | 31 | 2019 |
| RBRA: A simple and efficient rating-based recommender algorithm to cope with sparsity in recommender systems F Xie, M Xu, Z Chen 2012 26th International Conference on Advanced Information Networking and …, 2012 | 30 | 2012 |
| Cooperative deep reinforcement learning for traffic signal control M Liu, J Deng, M Xu, X Zhang, W Wang 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD …, 2017 | 27 | 2017 |
| Map matching based on conditional random fields and route preference mining for uncertain trajectories M Xu, Y Du, J Wu, Y Zhou Mathematical Problems in Engineering 2015, 2015 | 26 | 2015 |
| Adaptive traffic signal control model on intersections based on deep reinforcement learning D Li, J Wu, M Xu, Z Wang, K Hu Journal of Advanced Transportation 2020, 1-14, 2020 | 25 | 2020 |
| Discovery of important crossroads in road network using massive taxi trajectories M Xu, J Wu, Y Du, H Wang, G Qi, K Hu, Y Xiao arXiv preprint arXiv:1407.2506, 2014 | 10 | 2014 |
| A user behavior influence model of social hotspot under implicit link Y Xiao, N Li, M Xu, Y Liu Information Sciences 396, 114-126, 2017 | 9 | 2017 |
| GDTM: A Gaussian dynamic topic model for forwarding prediction under complex mechanisms Q Li, L Liu, M Xu, B Wu, Y Xiao IEEE Transactions on Computational Social Systems 6 (2), 338-349, 2019 | 8 | 2019 |
| Charging pile siting recommendations via the fusion of points of interest and vehicle trajectories Y Kong, J Wu, M Xu, K Hu China Communications 14 (11), 29-38, 2017 | 8 | 2017 |
| Mpurank: A social hotspot tracking scheme based on tripartite graph and multimessages iterative driven Y Xiao, H Yu, Q Li, L Liu, M Xu, H Xiao IEEE Transactions on Computational Social Systems 6 (4), 715-725, 2019 | 7 | 2019 |
| Identifying regional service function from PM2.5 mass concentration throughout a city with non-negative tensor factorization approach D Hu, Y Zhou, M Xu, J Wu, Y Du, B Song, K Hu Environmental Science and Pollution Research 24, 26893-26900, 2017 | 7 | 2017 |
| Extracting compact representation of knowledge from gene expression data for protein-protein interaction H Wang, A Gupta, M Xu International journal of data mining and bioinformatics 17 (4), 279-292, 2017 | 6 | 2017 |
