| Multi-graph convolutional-recurrent neural network (MGC-RNN) for short-term forecasting of transit passenger flow Y He, L Li, X Zhu, KL Tsui IEEE transactions on intelligent transportation systems 23 (10), 18155-18174, 2022 | 78 | 2022 |
| An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership Y He, Y Zhao, KL Tsui Transportation 48 (3), 1185-1216, 2021 | 37 | 2021 |
| Characterizing the connectivity of railway networks Z Xu, Q Zhang, D Chen, Y He IEEE Transactions on Intelligent Transportation Systems 21 (4), 1491-1502, 2019 | 32 | 2019 |
| Time-dependent pricing for high-speed railway in China based on revenue management J Qin, Y Zeng, X Yang, Y He, X Wu, W Qu Sustainability 11 (16), 4272, 2019 | 30 | 2019 |
| Short-term forecasting of origin-destination matrix in transit system via a deep learning approach Y He, Y Zhao, KL Tsui Transportmetrica A: Transport Science 19 (2), 2033348, 2023 | 27 | 2023 |
| Geographically modeling and understanding factors influencing transit ridership: an empirical study of Shenzhen metro Y He, Y Zhao, KL Tsui Applied Sciences 9 (20), 4217, 2019 | 27 | 2019 |
| Quantitative efficiency evaluation method for transportation networks J Qin, Y He, L Ni Sustainability 6 (12), 8364-8378, 2014 | 25 | 2014 |
| GC-LSTM: A deep spatiotemporal model for passenger flow forecasting of high-speed rail network Y He, Y Zhao, H Wang, KL Tsui 2020 IEEE 23rd international conference on intelligent transportation …, 2020 | 19 | 2020 |
| Modeling and analyzing modeling and analyzing impact factors of metro station ridership: An approach based on a general estimating equation factors influencing metro station … Y He, Y Zhao, KL Tsui IEEE Intelligent Transportation Systems Magazine 12 (4), 195-207, 2020 | 17 | 2020 |
| An analysis of factors influencing metro station ridership: Insights from taipei metro Y He, Y Zhao, KL Tsui 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 16 | 2018 |
| Exploring influencing factors on transit ridership from a local perspective Y He, Y Zhao, KL Tsui Smart and Resilient Transportation 1 (1), 2-16, 2019 | 14 | 2019 |
| Comparative analysis of quantitative efficiency evaluation methods for transportation networks Y He, J Qin, J Hong PLoS One 12 (4), e0175526, 2017 | 12 | 2017 |
| A clustering refinement approach for revealing urban spatial structure from smart card data L Tang, Y Zhao, KL Tsui, Y He, L Pan Applied Sciences 10 (16), 5606, 2020 | 10 | 2020 |
| Dynamic evolution analysis of metro network connectivity and bottleneck identification: From the perspective of individual cognition Y He, Z Xu, Y Zhao, KL Tsui IEEE Access 7, 2042-2052, 2018 | 10 | 2018 |
| Network-level optimization method for road network maintenance programming based on network efficiency L Zhang, J Qin, Y He, Y Ye, L Ni Journal of Central South University 22 (12), 4882-4889, 2015 | 9 | 2015 |
| Short-term nationwide airport throughput prediction with graph attention recurrent neural network X Zhu, Y Lin, Y He, KL Tsui, PW Chan, L Li Frontiers in Artificial Intelligence 5, 884485, 2022 | 8 | 2022 |
| Nowcasting influenza‐like illness (ILI) via a deep learning approach using google search data: An empirical study on Taiwan ILI Y He, Y Zhao, Y Chen, HY Yuan, KL Tsui International Journal of Intelligent Systems 37 (3), 2648-2674, 2022 | 8 | 2022 |
| Forecasting nationwide passenger flows at city-level via a spatiotemporal deep learning approach Y He, Y Zhao, Q Luo, KL Tsui Physica A: Statistical Mechanics and its Applications 589, 126603, 2022 | 8 | 2022 |
| In-depth insights into the application of recurrent neural networks (rnns) in traffic prediction: A comprehensive review Y He, P Huang, W Hong, Q Luo, L Li, KL Tsui Algorithms 17 (9), 398, 2024 | 6 | 2024 |
| l0-norm based short-term sparse portfolio optimization algorithm based on alternating direction method of multipliers H Wang, W Zhang, Y He, W Cao Signal Processing 208, 108957, 2023 | 6 | 2023 |
YANG ZHAOSchool of Public Health (Shenzhen), Sun Yat-sen UniversityCorreu electrònic verificat a mail.sysu.edu.cn