| Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit J Zhang, F Chen, Z Cui, Y Guo, Y Zhu IEEE Transactions on Intelligent Transportation Systems, 1-11, 2020 | 221 | 2020 |
| 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 | 150 | 2021 |
| Multi-Graph Convolutional Network for Short-Term Passenger Flow Forecasting in Urban Rail Transit J Zhang, F Chen, Y Guo IET Intelligent Transport Systems, 2020 | 122 | 2020 |
| Cluster-based LSTM network for short-term passenger flow forecasting in urban rail transit J Zhang, F Chen, Q Shen IEEE Access 7, 147653-147671, 2019 | 92 | 2019 |
| STGNN-TTE: Travel time estimation via spatial–temporal graph neural network G Jin, M Wang, J Zhang, H Sha, J Huang Future Generation Computer Systems 126, 70-81, 2022 | 78 | 2022 |
| Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction G Jin, F Li, J Zhang, M Wang, J Huang IEEE Transactions on Intelligent Transportation Systems, 2022 | 55 | 2022 |
| 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 | 32 | 2024 |
| A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems J Zhang, H Li, S Zhang, L Yang, G Jin, J Qi International Journal of General Systems 52 (6), 694-721, 2023 | 29* | 2023 |
| Spatiotemporal patterns of carbon emissions and taxi travel using GPS data in Beijing J Zhang, F Chen, Z Wang, R Wang, S Shi Energies 11 (3), 500, 2018 | 26 | 2018 |
| Short-term origin-destination forecasting in urban rail transit based on attraction degree J Zhang, F Chen, Z Wang, H Liu IEEE Access 7, 133452-133462, 2019 | 25 | 2019 |
| Synchronization of train timetables in an urban rail network: A bi-objective optimization approach J Yin, M Wang, A D’Ariano, J Zhang, L Yang Transportation Research Part E: Logistics and Transportation Review 174, 103142, 2023 | 18 | 2023 |
| Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning method Y Yang, J Zhang, L Yang, Y Yang, X Li, Z Gao Information Sciences 642, 119144, 2023 | 15* | 2023 |
| Passenger travel characteristics and bus operational states: a study based on IC card and GPS data in Yinchuan, China F Chen, J Zhang, Z Wang, S Shi, H Liu Transportation Planning and Technology 42 (8), 825-847, 2019 | 14 | 2019 |
| Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning P Cui, X Yang, M Abdel-Aty, J Zhang, X Yan Accident Analysis & Prevention 200, 107564, 2024 | 12 | 2024 |
| Spatiotemporal Attention Fusion Network for Short-Term Passenger Flow Prediction on New Year’s Day Holiday in Urban Rail Transit System S Zhang, J Zhang, L Yang, J Yin, Z Gao IEEE Intelligent Transportation Systems Magazine, 2023 | 12 | 2023 |
| Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach J Zhang, F Chen, L Yang, W Ma, G Jin, Z Gao IEEE Transactions on Intelligent Transportation Systems, 2022 | 12 | 2022 |
| Network-wide short-term inflow prediction of the multi-traffic modes system: An adaptive multi-graph convolution and attention mechanism based multitask-learning model Y Yang, J Zhang, L Yang, Z Gao Transportation Research Part C: Emerging Technologies 158, 104428, 2024 | 9 | 2024 |
| Approximate dynamic programming approach to efficient metro train timetabling and passenger flow control strategy with stop-skipping Y Zhang, S Li, Y Yuan, J Zhang, L Yang Engineering Applications of Artificial Intelligence 127, 107393, 2024 | 8 | 2024 |
| COV-STFormer for short-term passenger flow prediction during COVID19 in urban rail transit systems S Zhang, J Zhang, L Yang, C Wang, Z Gao IEEE Transactions on Intelligent Transportation Systems, 2023 | 6* | 2023 |
| 基于注意力机制的城市轨道交通网络级多步短时客流时空综合预测模型 J Zhang, Y Chen, K Panchamy, G Jin, C Wang, L Yang Journal of Geo-Information Science 25 (4), 698-713, 2023 | 5 | 2023 |