| A dimensionality reduction-based multi-step clustering method for robust vessel trajectory analysis H Li, J Liu, RW Liu, N Xiong, K Wu, T Kim Sensors 17 (8), 1792, 2017 | 164 | 2017 |
| Adaptively constrained dynamic time warping for time series classification and clustering H Li, J Liu, Z Yang, RW Liu, K Wu, Y Wan Information Sciences 534, 97-116, 2020 | 147 | 2020 |
| Spatio-temporal vessel trajectory clustering based on data mapping and density H Li, J Liu, K Wu, Z Yang, RW Liu, N Xiong IEEE Access 6, 58939-58954, 2018 | 146 | 2018 |
| Dynamic ship domain models for capacity analysis of restricted water channels J Liu, F Zhou, Z Li, M Wang, RW Liu The Journal of Navigation 69 (3), 481-503, 2016 | 104 | 2016 |
| Adaptive douglas-peucker algorithm with automatic thresholding for AIS-based vessel trajectory compression J Liu, H Li, Z Yang, K Wu, Y Liu, RW Liu IEEE Access 7, 150677-150692, 2019 | 68 | 2019 |
| Literature review on emission control-based ship voyage optimization H Yu, Z Fang, X Fu, J Liu, J Chen Transportation Research Part D: Transport and Environment 93, 102768, 2021 | 64 | 2021 |
| A double standard model for allocating limited emergency medical service vehicle resources ensuring service reliability Y Liu, Z Li, J Liu, H Patel Transportation research part C: emerging technologies 69, 120-133, 2016 | 59 | 2016 |
| AIS data-driven approach to estimate navigable capacity of busy waterways focusing on ships entering and leaving port C Liu, J Liu, X Zhou, Z Zhao, C Wan, Z Liu Ocean Engineering 218, 108215, 2020 | 58 | 2020 |
| Trajectory compression-guided visualization of spatio-temporal AIS vessel density Y Li, RW Liu, J Liu, Y Huang, B Hu, K Wang 2016 8th International Conference on Wireless Communications & Signal …, 2016 | 44 | 2016 |
| Prediction and optimisation of fuel consumption for inland ships considering real-time status and environmental factors Z Yuan, J Liu, Q Zhang, Y Liu, Y Yuan, Z Li Ocean Engineering 221, 108530, 2021 | 41 | 2021 |
| Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery H Li, JSL Lam, Z Yang, J Liu, RW Liu, M Liang, Y Li Transportation Research Part C: Emerging Technologies 143, 103856, 2022 | 38 | 2022 |
| Neural network-based automatic reconstruction of missing vessel trajectory data M Liang, RW Liu, Q Zhong, J Liu, J Zhang 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA), 426-430, 2019 | 30 | 2019 |
| PCA-based hierarchical clustering of AIS trajectories with automatic extraction of clusters J Cao, M Liang, Y Li, J Chen, H Li, RW Liu, J Liu 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA), 448-452, 2018 | 28 | 2018 |
| A multi-task analysis and modelling paradigm using LSTM for multi-source monitoring data of inland vessels Z Yuan, J Liu, Y Liu, Q Zhang, RW Liu Ocean Engineering 213, 107604, 2020 | 26 | 2020 |
| Ship path optimization that accounts for geographical traffic characteristics to increase maritime port safety H Yu, AT Murray, Z Fang, J Liu, G Peng, M Solgi, W Zhang IEEE Transactions on Intelligent Transportation Systems 23 (6), 5765-5776, 2021 | 24 | 2021 |
| Similarity grouping-guided neural network modeling for maritime time series prediction Y Li, RW Liu, Z Liu, J Liu IEEE Access 7, 72647-72659, 2019 | 24 | 2019 |
| Maritime traffic data visualization: A brief review K Wang, M Liang, Y Li, J Liu, RW Liu 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA), 67-72, 2019 | 23 | 2019 |
| Propulsion power prediction for an inland container vessel in open and restricted channel from model and full-scale simulations H Islam, CG Soares, J Liu, X Wang Ocean Engineering 229, 108621, 2021 | 21 | 2021 |
| A robust GA/PSO-hybrid algorithm in intelligent shipping route planning systems for maritime traffic networks Z Liu, J Liu, F Zhou, RW Liu, N Xiong Journal of Internet Technology 19 (6), 1635-1644, 2018 | 20 | 2018 |
| Vessel traffic flow separation-prediction using low-rank and sparse decomposition RW Liu, J Chen, Z Liu, Y Li, Y Liu, J Liu 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 20 | 2017 |
