| A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources S Yang, W Ma, X Pi, S Qian Transportation Research Part C: Emerging Technologies 107, 248-265, 2019 | 215 | 2019 |
| Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method J Zhang, H Che, F Chen, W Ma, Z He Transportation Research Part C: Emerging Technologies 124, 102928, 2021 | 131 | 2021 |
| COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong HY Chan, A Chen, W Ma, NN Sze, X Liu Transport policy 106, 173-184, 2021 | 73 | 2021 |
| Missing not at random in matrix completion: The effectiveness of estimating missingness probabilities under a low nuclear norm assumption W Ma, GH Chen Advances in Neural Information Processing Systems, 14900-14909, 2019 | 71 | 2019 |
| A general formulation for multi-modal dynamic traffic assignment considering multi-class vehicles, public transit and parking X Pi, W Ma, ZS Qian Transportation Research Part C: Emerging Technologies 104, 369-389, 2019 | 69 | 2019 |
| Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data W Ma, ZS Qian Transportation Research Part C: Emerging Technologies 96, 96-121, 2018 | 66 | 2018 |
| Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs W Ma, X Pi, S Qian Transportation Research Part C: Emerging Technologies 119, 102747, 2020 | 62 | 2020 |
| Statistical inference of probabilistic origin-destination demand using day-to-day traffic data W Ma, ZS Qian Transportation Research Part C: Emerging Technologies 88, 227-256, 2018 | 54 | 2018 |
| Domain adversarial spatial-temporal network: A transferable framework for short-term traffic forecasting across cities Y Tang, A Qu, AHF Chow, WHK Lam, SC Wong, W Ma Proceedings of the 31st ACM International Conference on Information …, 2022 | 37 | 2022 |
| High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach W Ma, S Qian Sensors 21 (2), 464, 2021 | 34* | 2021 |
| On the variance of recurrent traffic flow for statistical traffic assignment W Ma, ZS Qian Transportation Research Part C: Emerging Technologies 81, 57-82, 2017 | 33 | 2017 |
| A bi-objective reliable path-finding algorithm for battery electric vehicle routing XW Chen, BY Chen, WHK Lam, ML Tam, W Ma Expert Systems with Applications 182, 115228, 2021 | 28 | 2021 |
| Vehicle re-identification for lane-level travel time estimations on congested urban road networks using video images C Zhang, BY Chen, WHK Lam, HW Ho, X Shi, X Yang, W Ma, SC Wong, ... IEEE Transactions on Intelligent Transportation Systems 23 (8), 12877-12893, 2021 | 25 | 2021 |
| Physics-informed deep learning for traffic state estimation based on the traffic flow model and computational graph method J Zhang, S Mao, L Yang, W Ma, S Li, Z Gao Information Fusion 101, 101971, 2024 | 22 | 2024 |
| An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors W Ma, K Nowocin, N Marathe, GH Chen Proceedings of the Tenth International Conference on Information and …, 2019 | 21 | 2019 |
| Optimal curbside pricing for managing ride-hailing pick-ups and drop-offs J Liu, W Ma, S Qian Transportation Research Part C: Emerging Technologies 146, 103960, 2023 | 20 | 2023 |
| Clustering Analysis of the Spatio-Temporal On-Street Parking Occupancy Data: A Case Study in Hong Kong F Wu, W Ma Sustainability 14 (13), 7957, 2022 | 17 | 2022 |
| Adversarial Attacks on Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles A Qu, Y Tang, W Ma ACM Transactions on Intelligent Systems and Technology, 2023 | 16 | 2023 |
| Cluster analysis of day-to-day traffic data in networks P Zhang, W Ma, S Qian Transportation Research Part C: Emerging Technologies 144, 103882, 2022 | 16 | 2022 |
| Adversarial diffusion attacks on graph-based traffic prediction models L Zhu, K Feng, Z Pu, W Ma IEEE Internet of Things Journal, 2023 | 15 | 2023 |
