| 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 |
| 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 |
| Data-driven Bayesian network for risk analysis of global maritime accidents H Li, X Ren, Z Yang Reliability Engineering & System Safety 230, 108938, 2023 | 59 | 2023 |
| Fine-grained vessel traffic flow prediction with a spatio-temporal multigraph convolutional network M Liang, RW Liu, Y Zhan, H Li, F Zhu, FY Wang IEEE Transactions on Intelligent Transportation Systems 23 (12), 23694-23707, 2022 | 47 | 2022 |
| 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 |
| AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods H Li, H Jiao, Z Yang Transportation Research Part E: Logistics and Transportation Review 175, 103152, 2023 | 32 | 2023 |
| Incorporation of AIS data-based machine learning into unsupervised route planning for maritime autonomous surface ships H Li, Z Yang Transportation Research Part E: Logistics and Transportation Review 176, 103171, 2023 | 27 | 2023 |
| 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 | 27 | 2018 |
| LBP 和 HOG 的分层特征融合的人脸识别 万源， 李欢欢， 吴克风， 童恒庆 计算机辅助设计与图形学学报 27 (4), 640-650, 2015 | 23 | 2015 |
| Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis H Li, H Jiao, Z Yang Engineering Applications of Artificial Intelligence 126, 107062, 2023 | 15 | 2023 |
| Graph-based ship traffic partitioning for intelligent maritime surveillance in complex port waters X Xin, K Liu, S Loughney, J Wang, H Li, Z Yang Expert Systems with Applications 231, 120825, 2023 | 12 | 2023 |
| Towards safe navigation environment: The imminent role of spatio-temporal pattern mining in maritime piracy incidents analysis H Li, Z Yang Reliability Engineering & System Safety 238, 109422, 2023 | 11 | 2023 |
| Multi-scale collision risk estimation for maritime traffic in complex port waters X Xin, K Liu, S Loughney, J Wang, H Li, N Ekere, Z Yang Reliability Engineering & System Safety 240, 109554, 2023 | 10 | 2023 |
| Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping Y Li, M Liang, H Li, Z Yang, L Du, Z Chen Engineering Applications of Artificial Intelligence 126, 107012, 2023 | 8 | 2023 |
| Statistical analysis of massive AIS trajectories using Gaussian mixture models B Hu, RW Liu, K Wang, Y Li, M Liang, H Li, J Liu 2017 2nd International Conference on Multimedia and Image Processing (ICMIP …, 2017 | 7 | 2017 |
| Hierarchical and coupling model of factors influencing vessel traffic flow Z Liu, J Liu, H Li, Z Li, Z Tan, RW Liu, Y Liu Plos One 12 (4), e0175840, 2017 | 6 | 2017 |
| PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents M Liang, H Li, RW Liu, JSL Lam, Z Yang Reliability Engineering & System Safety 243, 109877, 2024 | 4 | 2024 |
| A two-phase filtering of discriminative shapelets learning for time series classification C Li, Y Wan, W Zhang, H Li Applied Intelligence 53 (11), 13815-13833, 2023 | 4 | 2023 |
Zaili YangProfessor, Liverpool John Moores UniversityVerified email at ljmu.ac.uk
