Maohan Liang

1.5k total citations · 2 hit papers
53 papers, 1.1k citations indexed

About

Maohan Liang is a scholar working on Ocean Engineering, Environmental Engineering and Transportation. According to data from OpenAlex, Maohan Liang has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Ocean Engineering, 12 papers in Environmental Engineering and 10 papers in Transportation. Recurrent topics in Maohan Liang's work include Maritime Navigation and Safety (40 papers), Maritime Ports and Logistics (10 papers) and Ship Hydrodynamics and Maneuverability (10 papers). Maohan Liang is often cited by papers focused on Maritime Navigation and Safety (40 papers), Maritime Ports and Logistics (10 papers) and Ship Hydrodynamics and Maneuverability (10 papers). Maohan Liang collaborates with scholars based in China, Singapore and United Kingdom. Maohan Liang's co-authors include Ryan Wen Liu, Jiangtian Nie, Huanhuan Li, Yang Zhang, Yang Zhan, Mohsen Guizani, Jasmine Siu Lee Lam, Wei Yang Bryan Lim, Jingxian Liu and Xin Liu and has published in prestigious journals such as Sensors, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Maohan Liang

47 papers receiving 1.1k citations

Hit Papers

Deep Learning-Powered Vessel Trajectory Prediction for Im... 2022 2026 2023 2024 2022 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things
    2022 158 citations Ryan Wen Liu, Maohan Liang et al. profile →
  2. STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network
    2022 132 citations Ryan Wen Liu, Maohan Liang et al. IEEE Transactions on Industrial Informatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maohan Liang China 17 750 208 190 177 145 53 1.1k
Guoyou Shi China 18 997 1.3× 229 1.1× 224 1.2× 242 1.4× 146 1.0× 70 1.3k
Xiumin Chu China 22 1.0k 1.3× 271 1.3× 198 1.0× 245 1.4× 122 0.8× 129 1.6k
Jiansen Zhao China 16 311 0.4× 104 0.5× 184 1.0× 77 0.4× 83 0.6× 29 947
Chenguang Liu China 19 617 0.8× 147 0.7× 107 0.6× 274 1.5× 82 0.6× 84 1.2k
Lokukaluge P. Perera Norway 27 1.8k 2.4× 690 3.3× 276 1.5× 449 2.5× 228 1.6× 84 2.4k
Karna Bryan Belgium 10 754 1.0× 103 0.5× 182 1.0× 131 0.7× 288 2.0× 16 905
Jianchuan Yin China 19 730 1.0× 259 1.2× 53 0.3× 76 0.4× 219 1.5× 95 1.5k
Changshi Xiao China 22 698 0.9× 386 1.9× 109 0.6× 215 1.2× 84 0.6× 77 1.2k
Yong Yin China 18 892 1.2× 155 0.7× 167 0.9× 134 0.8× 85 0.6× 105 1.3k
Yongsheng Yang China 13 248 0.3× 83 0.4× 174 0.9× 43 0.2× 158 1.1× 27 965

Countries citing papers authored by Maohan Liang

Since Specialization
Citations

This map shows the geographic impact of Maohan Liang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maohan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maohan Liang more than expected).

Fields of papers citing papers by Maohan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maohan Liang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maohan Liang. The network helps show where Maohan Liang may publish in the future.

Co-authorship network of co-authors of Maohan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Maohan Liang. A scholar is included among the top collaborators of Maohan Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maohan Liang. Maohan Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhan, Yang, et al.. (2025). UPTM-LLM: Large language models-powered urban pedestrian travel modes recognition for intelligent transportation system. Applied Soft Computing. 186. 113999–113999. 1 indexed citations
2.
Gao, Ruobin, et al.. (2025). Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art. IEEE Transactions on Instrumentation and Measurement. 74. 1–18. 3 indexed citations
3.
4.
Chen, Jin, Qiang Zhang, Maohan Liang, Peng Chang, & Chen Chen. (2025). Big-data-driven vessel destination prediction for smart port management. Engineering Applications of Artificial Intelligence. 154. 110829–110829.
5.
Liang, Maohan, et al.. (2025). A graph attention network-based learning framework for automatic detection of abnormal vessel behaviors. Ocean Engineering. 325. 120700–120700. 1 indexed citations
6.
7.
Cai, Yutong, et al.. (2024). Exploring key factors for long-term vessel incident risk prediction. Reliability Engineering & System Safety. 253. 110565–110565. 9 indexed citations
8.
Liang, Maohan, et al.. (2024). Benchmarking feed-forward randomized neural networks for vessel trajectory prediction. Computers & Electrical Engineering. 119. 109499–109499. 8 indexed citations
9.
10.
She, Yanling, et al.. (2024). Advancements in Deep Learning Techniques for Time Series Forecasting in Maritime Applications: A Comprehensive Review. Information. 15(8). 507–507. 5 indexed citations
11.
Yang, Dong, et al.. (2024). Graph-driven multi-vessel long-term trajectories prediction for route planning under complex waters. Ocean Engineering. 313. 119511–119511. 3 indexed citations
12.
Liu, Ryan Wen, et al.. (2024). AIS-Based Vessel Trajectory Compression: A Systematic Review and Software Development. IEEE Open Journal of Vehicular Technology. 5. 1193–1214. 8 indexed citations
13.
Liang, Maohan, et al.. (2024). Estimation of vessel link-level travel time distribution: A directed network-driven approach. Ocean Engineering. 313. 119371–119371. 2 indexed citations
14.
Liang, Maohan, et al.. (2024). An online method for ship trajectory compression using AIS data. Journal of Navigation. 77(1). 37–58. 11 indexed citations
15.
Liu, Ryan Wen, et al.. (2023). QSD-LSTM: Vessel trajectory prediction using long short-term memory with quaternion ship domain. Applied Ocean Research. 136. 103592–103592. 43 indexed citations
16.
Liang, Maohan, et al.. (2023). Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data. Knowledge-Based Systems. 284. 111313–111313. 44 indexed citations
17.
Liang, Maohan, et al.. (2023). Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping. Engineering Applications of Artificial Intelligence. 126. 107012–107012. 25 indexed citations
18.
Liang, Maohan, Huanhuan Li, Ryan Wen Liu, Jasmine Siu Lee Lam, & Zaili Yang. (2023). PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents. Reliability Engineering & System Safety. 243. 109877–109877. 23 indexed citations
19.
Liu, Ryan Wen, Maohan Liang, Jiangtian Nie, et al.. (2022). STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network. IEEE Transactions on Industrial Informatics. 18(11). 7977–7987. 132 indexed citations breakdown →
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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