Yongfeng Suo

415 total citations
26 papers, 272 citations indexed

About

Yongfeng Suo is a scholar working on Ocean Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Yongfeng Suo has authored 26 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ocean Engineering, 7 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Yongfeng Suo's work include Maritime Navigation and Safety (16 papers), Ship Hydrodynamics and Maneuverability (6 papers) and Structural Integrity and Reliability Analysis (4 papers). Yongfeng Suo is often cited by papers focused on Maritime Navigation and Safety (16 papers), Ship Hydrodynamics and Maneuverability (6 papers) and Structural Integrity and Reliability Analysis (4 papers). Yongfeng Suo collaborates with scholars based in China and France. Yongfeng Suo's co-authors include Shenhua Yang, Christophe Claramunt, Zhen Rong, Jinhai Chen, Tao Zhang, Junling Wang, Yujie Zhou, Zhibing Zhang, Yujie Zhou and Ling Peng and has published in prestigious journals such as Sensors, Ocean Engineering and Mathematical Problems in Engineering.

In The Last Decade

Yongfeng Suo

21 papers receiving 268 citations

Peers

Yongfeng Suo
Yongfeng Suo
Citations per year, relative to Yongfeng Suo Yongfeng Suo (= 1×) peers Piotr Borkowski

Countries citing papers authored by Yongfeng Suo

Since Specialization
Citations

This map shows the geographic impact of Yongfeng Suo'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 Yongfeng Suo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongfeng Suo more than expected).

Fields of papers citing papers by Yongfeng Suo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yongfeng Suo. 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 Yongfeng Suo. The network helps show where Yongfeng Suo may publish in the future.

Co-authorship network of co-authors of Yongfeng Suo

This figure shows the co-authorship network connecting the top 25 collaborators of Yongfeng Suo. A scholar is included among the top collaborators of Yongfeng Suo 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 Yongfeng Suo. Yongfeng Suo 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.
Wang, Shengzheng, et al.. (2025). An interpretable ship risk model based on machine learning and SHAP interpretation technique. Ocean Engineering. 335. 121686–121686.
2.
Suo, Yongfeng, Yongxian Wang, & Lei Cui. (2025). Ship Anomalous Behavior Detection Based on BPEF Mining and Text Similarity. Journal of Marine Science and Engineering. 13(2). 251–251.
4.
Suo, Yongfeng, et al.. (2024). The Mamba Model: A Novel Approach for Predicting Ship Trajectories. Journal of Marine Science and Engineering. 12(8). 1321–1321. 7 indexed citations
5.
Yang, Shenhua, et al.. (2024). Ship Autonomous Berthing Strategy Based on Improved Linear-Quadratic Regulator. Journal of Marine Science and Engineering. 12(8). 1245–1245. 3 indexed citations
6.
Suo, Yongfeng, et al.. (2024). An Improved Artificial Potential Field Method for Ship Path Planning Based on Artificial Potential Field—Mined Customary Navigation Routes. Journal of Marine Science and Engineering. 12(5). 731–731. 9 indexed citations
7.
Suo, Yongfeng, et al.. (2024). A Review of Autonomous Berthing Technology for Ships. Journal of Marine Science and Engineering. 12(7). 1137–1137. 5 indexed citations
8.
9.
Suo, Yongfeng, et al.. (2023). Research on Ship Trajectory Prediction Method Based on Difference Long Short-Term Memory. Journal of Marine Science and Engineering. 11(9). 1731–1731. 8 indexed citations
10.
Rong, Zhen, et al.. (2023). An Improved A-Star Ship Path-Planning Algorithm Considering Current, Water Depth, and Traffic Separation Rules. Journal of Marine Science and Engineering. 11(7). 1439–1439. 33 indexed citations
12.
Yang, Shenhua, et al.. (2021). Ship Track Prediction Based on DLGWO-SVR. Scientific Programming. 2021. 1–14. 17 indexed citations
13.
Suo, Yongfeng, et al.. (2021). A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction. Sensors. 21(14). 4741–4741. 7 indexed citations
14.
Suo, Yongfeng, et al.. (2020). Detection of Complex Abnormal Ship Behavior Based on Event Stream. 5730–5735. 4 indexed citations
16.
Suo, Yongfeng, et al.. (2020). A Ship Trajectory Prediction Framework Based on a Recurrent Neural Network. Sensors. 20(18). 5133–5133. 130 indexed citations
17.
Yang, Shenhua, et al.. (2020). Research on Recognition of Marine Ships under Complex Conditions. 5748–5753. 4 indexed citations
18.
Zhou, Yujie, et al.. (2017). H Sampled‐Data Control for Singular Neutral System. Mathematical Problems in Engineering. 2017(1). 6 indexed citations
19.
Suo, Yongfeng, et al.. (2017). A Target Ship Server Driven by AIS Signal for the Navigation Simulator. DEStech Transactions on Computer Science and Engineering. 1 indexed citations
20.
Suo, Yongfeng, Tianhe Chi, & Ling Peng. (2012). Review on the Key Technology of Real-Time Oil Spill Monitoring System Based on Marine Radar. Zenodo (CERN European Organization for Nuclear Research). 7. 1–4. 4 indexed citations

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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