| Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach L Lin, Z He, S Peeta Transportation Research Part C: Emerging Technologies 97, 258-276, 2018 | 423 | 2018 |
| A novel variable selection method based on frequent pattern tree for real-time traffic accident risk prediction L Lin, Q Wang, AW Sadek Transportation Research Part C: Emerging Technologies 55, 444-459, 2015 | 215 | 2015 |
| Anonymousnet: Natural face de-identification with measurable privacy T Li, L Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 169 | 2019 |
| Vehicle trajectory prediction using LSTMs with spatial–temporal attention mechanisms L Lin, W Li, H Bi, L Qin IEEE Intelligent Transportation Systems Magazine 14 (2), 197-208, 2021 | 165 | 2021 |
| Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach S Ren, TM Choi, KM Lee, L Lin Transportation Research Part E: Logistics and Transportation Review 134, 101834, 2020 | 145 | 2020 |
| A combined M5P tree and hazard-based duration model for predicting urban freeway traffic accident durations L Lin, Q Wang, AW Sadek Accident Analysis & Prevention 91, 114-126, 2016 | 105 | 2016 |
| Modeling the impacts of inclement weather on freeway traffic speed: exploratory study with social media data L Lin, M Ni, Q He, J Gao, AW Sadek Transportation research record 2482 (1), 82-89, 2015 | 76 | 2015 |
| Data Mining and Complex Networks Algorithms for Traffic Accident Analysis L Lin, Q Wang, AW Sadek Transportation Research Record: Journal of the Transportation Research Board …, 2014 | 75 | 2014 |
| A k nearest neighbor based local linear wavelet neural network model for on-line short-term traffic volume prediction L Lin, Y Li, A Sadek Procedia-Social and Behavioral Sciences 96, 2066-2077, 2013 | 69 | 2013 |
| Quantifying uncertainty in short-term traffic prediction and its application to optimal staffing plan development L Lin, JC Handley, Y Gu, L Zhu, X Wen, AW Sadek Transportation Research Part C: Emerging Technologies 92, 323-348, 2018 | 66 | 2018 |
| Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19 L Lin, F Shi, W Li Scientific reports 11 (1), 13147, 2021 | 64* | 2021 |
| Youtube av 50k: an annotated corpus for comments in autonomous vehicles T Li, L Lin, M Choi, K Fu, S Gong, J Wang 2018 International Joint Symposium on Artificial Intelligence and Natural …, 2018 | 59 | 2018 |
| A novel dynamic pricing scheme for a large-scale electric vehicle sharing network considering vehicle relocation and vehicle-grid-integration S Ren, F Luo, L Lin, SC Hsu, XI Li International Journal of Production Economics, 2019 | 58 | 2019 |
| Border crossing delay prediction using transient multi-server queueing models L Lin, Q Wang, AW Sadek Transportation Research Part A: Policy and Practice 64, 65-91, 2014 | 55 | 2014 |
| Music sequence prediction with mixture hidden markov models T Li, M Choi, K Fu, L Lin 2019 IEEE International Conference on Big Data (Big Data), 6128-6132, 2019 | 53 | 2019 |
| Deep learning-based human-driven vehicle trajectory prediction and its application for platoon control of connected and autonomous vehicles L Lin, S Gong, T Li, S Peeta The Automated Vehicles Symposium 2018, 2018 | 53 | 2018 |
| On-line prediction of border crossing traffic using an enhanced Spinning Network method L Lin, Q Wang, S Huang, AW Sadek Transportation Research Part C: Emerging Technologies 43, 158-173, 2013 | 52 | 2013 |
| Real-time spatiotemporal prediction and imputation of traffic status based on LSTM and Graph Laplacian regularized matrix factorization JM Yang, ZR Peng, L Lin Transportation Research Part C: Emerging Technologies 129, 103228, 2021 | 48 | 2021 |
| MCFlow: Monte Carlo Flow Models for Data Imputation TW Richardson, W Wu, L Lin, B Xu, EA Bernal 2020 Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 43 | 2020 |
| Short-term forecasting of traffic volume: evaluating models based on multiple data sets and data diagnosis measures L Lin, Q Wang, A Sadek Transportation Research Record: Journal of the Transportation Research Board …, 2013 | 43 | 2013 |
Adel SadekProfessor of Civil Engineering, University at Buffalo - SUNY在 buffalo.edu 的电子邮件经过验证
