| 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 | 160 | 2020 |
| 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 | 101 | 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 | 95 | 2021 |
| 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 | 75 | 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 | 51 | 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 | 29 | 2022 |
| 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 | 22 | 2019 |
| 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 | 19 | 2018 |
| 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 | 16* | 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 | 11 | 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 | 9 | 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 | 5* | 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 | 5 | 2022 |
| 铁路小半径曲线外轨侧磨影响因素分析 陈峰， 张金雷， 王子甲 铁道科学与工程学报 15 (7), 1678-1684, 2018 | 4 | 2018 |
| 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 | 3 | 2023 |
| An End-to-End Predict-Then-Optimize Clustering Method for Stochastic Assignment Problems J Zhang, E Shan, L Wu, Y Jiateng, L Yang, Z Gao IEEE Transactions on Intelligent Transportation Systems, 1-16, 2024 | 2* | 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 | 2 | 2024 |
| 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 | 2 | 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 | 2* | 2023 |
| Multi-Stage Fusion Framework for Short-Term Passenger Flow Forecasting in Urban Rail Transit Systems Using Multi-Source Data Y Chen, J Zhang, Y Lu, K Yang, H Liu, Y Liang Transportation Research Record, 03611981231224740, 2024 | 1 | 2024 |
