Shijie Li

980 total citations
55 papers, 623 citations indexed

About

Shijie Li is a scholar working on Ocean Engineering, Control and Systems Engineering and Environmental Engineering. According to data from OpenAlex, Shijie Li has authored 55 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Ocean Engineering, 20 papers in Control and Systems Engineering and 11 papers in Environmental Engineering. Recurrent topics in Shijie Li's work include Maritime Navigation and Safety (26 papers), Ship Hydrodynamics and Maneuverability (23 papers) and Maritime Transport Emissions and Efficiency (11 papers). Shijie Li is often cited by papers focused on Maritime Navigation and Safety (26 papers), Ship Hydrodynamics and Maneuverability (23 papers) and Maritime Transport Emissions and Efficiency (11 papers). Shijie Li collaborates with scholars based in China, Netherlands and Japan. Shijie Li's co-authors include Jialun Liu, Rudy R. Negenborn, Qing Wu, Taolei Sun, Zhixin Lei, Yaqiong Lv, Gabriël Lodewijks, Yifan Li, Feng Ma and Hironori Yasukawa and has published in prestigious journals such as Scientific Reports, IEEE Access and Computers & Industrial Engineering.

In The Last Decade

Shijie Li

46 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shijie Li China	13	332	156	103	79	71	55	623
Dongdong Mu China	20	445 1.3×	594 3.8×	32 0.3×	52 0.7×	29 0.4×	78	967
Yao Cai China	14	294 0.9×	74 0.5×	72 0.7×	99 1.3×	49 0.7×	29	529
Vitor A. M. Jorge Brazil	11	134 0.4×	144 0.9×	62 0.6×	15 0.2×	18 0.3×	28	520
Weidong Zhang China	13	106 0.3×	17 0.1×	34 0.3×	8 0.1×	19 0.3×	24	566
Neil A. Bomberger United States	10	217 0.7×	27 0.2×	16 0.2×	37 0.5×	20 0.3×	24	400
Rui Peng United States	8	72 0.2×	75 0.5×	36 0.3×	57 0.7×	3 0.0×	26	311
Jing Teng China	15	25 0.1×	56 0.4×	17 0.2×	36 0.5×	6 0.1×	54	608
Tao Qin China	4	30 0.1×	88 0.6×	21 0.2×	6 0.1×	12 0.2×	7	634
Andry Maykol Pinto Portugal	15	216 0.7×	86 0.6×	51 0.5×	5 0.1×	60 0.8×	71	667
Xiaobin Zhu China	23	53 0.2×	34 0.2×	19 0.2×	8 0.1×	45 0.6×	65	1.4k

Countries citing papers authored by Shijie Li

Since Specialization

Citations

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

Fields of papers citing papers by Shijie Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijie Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shijie Li. A scholar is included among the top collaborators of Shijie Li 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 Shijie Li. Shijie Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lv, Yaqiong, et al.. (2025). Enhancing marine shaft generator reliability through intelligent fault diagnosis of gearbox bearings via improved Bidirectional LSTM. Ocean Engineering. 337. 121860–121860. 7 indexed citations

Liu, Jialun, et al.. (2025). Towards future autonomous tugs: Design and implementation of an intelligent escort control system validated by sea trials. Advanced Engineering Informatics. 65. 103116–103116.

Liu, Jialun, et al.. (2024). A pre-trained multi-step prediction informer for ship motion prediction with a mechanism-data dual-driven framework. Engineering Applications of Artificial Intelligence. 139. 109523–109523. 3 indexed citations

Li, Shijie, et al.. (2024). Trajectory tracking for autonomous surface ships using Gaussian process regression and model predictive control with BVS strategy. Journal of Marine Engineering & Technology. 24(3). 179–193. 2 indexed citations

Li, Shijie, et al.. (2024). Path-following control of autonomous tugs based on Gaussian process regression and arithmetic optimization algorithm. 1234–1241.

Zheng, Zixuan, et al.. (2024). Voltage Derivative-Based SMES Mitigation Scheme for Multi-Pumping Motor in DC Microgrid. IEEE Transactions on Applied Superconductivity. 34(8). 1–4. 1 indexed citations

Liu, Jialun, et al.. (2024). Minimum jerk motion planning for maritime autonomous surface ships based on Bézier curves. Journal of Marine Engineering & Technology. 24(2). 85–97. 1 indexed citations

Yan, Xinping, et al.. (2024). Towards reliable control takeover in ship remote-control system: a cyber-physical fusion testing approach. Journal of Marine Engineering & Technology. 24(2). 108–120.

Yao, Jianxi, et al.. (2023). Ship dynamics model identification based on Semblance least square support vector machine. Ocean Engineering. 287. 115908–115908. 13 indexed citations

10.

Li, Shijie, et al.. (2023). Design and implementation of a testing platform for ship control: A case study on the optimal switching controller for ship motion. Advances in Engineering Software. 178. 103427–103427. 10 indexed citations

11.

Wu, Qing, et al.. (2023). State-of-the-Art Review and Future Perspectives on Maneuvering Modeling for Automatic Ship Berthing. Journal of Marine Science and Engineering. 11(9). 1824–1824. 11 indexed citations

12.

Yan, Xinping, et al.. (2022). Adaptive neural sliding mode control for heterogeneous ship formation keeping considering uncertain dynamics and disturbances. Ocean Engineering. 263. 112268–112268. 17 indexed citations

13.

Li, Shijie, et al.. (2022). Learning-based Extended Dynamic Mode Decomposition for Addressing Path-following Problem of Underactuated Ships with Unknown Dynamics. International Journal of Control Automation and Systems. 20(12). 4076–4089. 12 indexed citations

14.

Li, Shijie, et al.. (2022). Data-driven model identification and predictive control for path-following of underactuated ships with unknown dynamics. International Journal of Naval Architecture and Ocean Engineering. 14. 100445–100445. 9 indexed citations

15.

Wu, Qing, et al.. (2022). Twin-screw ASD tug maneuvering prediction based on integrated CFD and empirical methods. Ocean Engineering. 269. 113489–113489. 5 indexed citations

16.

Li, Shijie, et al.. (2022). Ship docking and undocking control with adaptive-mutation beetle swarm prediction algorithm. Ocean Engineering. 251. 111021–111021. 14 indexed citations

17.

Liu, Jialun, et al.. (2022). Maneuvering modeling of a twin-propeller twin-rudder inland container vessel based on integrated CFD and empirical methods. Applied Ocean Research. 126. 103261–103261. 16 indexed citations

18.

Liu, Jialun, et al.. (2022). Impact of bow shapes on hydrodynamic derivatives due to drifting conditions. Ocean Engineering. 245. 110347–110347. 6 indexed citations

19.

Li, Shijie, Jialun Liu, Rudy R. Negenborn, & Qing Wu. (2020). Automatic Docking for Underactuated Ships Based on Multi-Objective Nonlinear Model Predictive Control. IEEE Access. 8. 70044–70057. 53 indexed citations

20.

Wu, Qing, et al.. (2019). State-of-the-Art Research on Motion Control of Maritime Autonomous Surface Ships. Journal of Marine Science and Engineering. 7(12). 438–438. 63 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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