Standout Papers

Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things 2022 2026 2023 2024139
  1. Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things (2022)
    Ryan Wen Liu, Maohan Liang et al. IEEE Transactions on Network Science and Engineering
  2. STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network (2022)
    Ryan Wen Liu, Maohan Liang et al. IEEE Transactions on Industrial Informatics

Immediate Impact

34 standout
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Citing Papers

Intelligent ship route planning via an A∗ search model enhanced double-deep Q-network
2025 Standout
Graph neural networks enabled accident causation prediction for maritime vessel traffic
2025 Standout
4 intermediate papers

Works of Maohan Liang being referenced

Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery
2022
An unsupervised learning method with convolutional auto-encoder for vessel trajectory similarity computation
2021
and 1 more

Author Peers

Author Last Decade Papers Cites
Maohan Liang 581 178 155 38 842
Hao Rong 733 138 147 47 987
Jiansen Zhao 275 89 173 25 852
Zhen Rong 546 177 141 42 943
Yongsheng Yang 224 79 165 18 847
Langxiong Gan 478 200 86 50 750
Karna Bryan 561 83 142 12 666
Lingxiao Wu 319 311 103 40 724
Lily Rachmawati 442 93 66 11 854
Chaozhong Wu 168 53 219 27 897
Fei Wang 175 38 92 36 820

All Works

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2026