Makoto Sueyoshi

666 total citations
38 papers, 545 citations indexed

About

Makoto Sueyoshi is a scholar working on Computational Mechanics, Ocean Engineering and Aerospace Engineering. According to data from OpenAlex, Makoto Sueyoshi has authored 38 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 23 papers in Ocean Engineering and 9 papers in Aerospace Engineering. Recurrent topics in Makoto Sueyoshi's work include Fluid Dynamics Simulations and Interactions (25 papers), Ship Hydrodynamics and Maneuverability (13 papers) and Wave and Wind Energy Systems (12 papers). Makoto Sueyoshi is often cited by papers focused on Fluid Dynamics Simulations and Interactions (25 papers), Ship Hydrodynamics and Maneuverability (13 papers) and Wave and Wind Energy Systems (12 papers). Makoto Sueyoshi collaborates with scholars based in Japan, China and Australia. Makoto Sueyoshi's co-authors include Changhong Hu, Masashi Kashiwagi, Kangping Liao, Shigeo Yoshida, Shigeru Naito, Hirotada Hashimoto, Yingyi Liu, Nicolas Grenier, David Le Touzé and Cheng Liu and has published in prestigious journals such as PLoS ONE, Energy Conversion and Management and Renewable Energy.

In The Last Decade

Makoto Sueyoshi

35 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Makoto Sueyoshi Japan	13	421	234	98	96	79	38	545
Kangping Liao China	10	328 0.8×	130 0.6×	51 0.5×	89 0.9×	64 0.8×	33	403
Miao Guo-ping China	13	312 0.7×	329 1.4×	52 0.5×	37 0.4×	139 1.8×	54	473
Tim Bunnik Netherlands	14	325 0.8×	297 1.3×	64 0.7×	76 0.8×	135 1.7×	52	491
M.H. Kim United States	10	294 0.7×	250 1.1×	56 0.6×	107 1.1×	99 1.3×	18	403
S. Nallayarasu India	15	365 0.9×	374 1.6×	69 0.7×	92 1.0×	108 1.4×	57	554
Bonaventura Tagliafierro Italy	16	420 1.0×	232 1.0×	181 1.8×	33 0.3×	146 1.8×	43	616
K.M. Theresa Kleefsman China	7	577 1.4×	130 0.6×	84 0.9×	54 0.6×	93 1.2×	9	634
Bogdan Iwanowski Norway	7	586 1.4×	142 0.6×	97 1.0×	51 0.5×	114 1.4×	15	653
Xing Zheng China	16	549 1.3×	143 0.6×	102 1.0×	177 1.8×	67 0.8×	59	716
Gangjun Zhai China	13	391 0.9×	392 1.7×	65 0.7×	62 0.6×	236 3.0×	59	586

Countries citing papers authored by Makoto Sueyoshi

Since Specialization

Citations

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

Fields of papers citing papers by Makoto Sueyoshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Sueyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Sueyoshi. A scholar is included among the top collaborators of Makoto Sueyoshi 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 Makoto Sueyoshi. Makoto Sueyoshi 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

Hu, Changhong, et al.. (2025). Experimental and numerical study of a wet-towing system for multi-bucket jacket wind turbines considering air compressibility in suction caissons. Ocean Engineering. 336. 121740–121740.

Liu, Yingyi, Shigeo Yoshida, Changhong Hu, et al.. (2018). A reliable open-source package for performance evaluation of floating renewable energy systems in coastal and offshore regions. Energy Conversion and Management. 174. 516–536. 27 indexed citations

Sueyoshi, Makoto, et al.. (2018). A study on a floating type shrouded wind turbine: Design, modeling and analysis. Renewable Energy. 134. 1099–1113. 22 indexed citations

Sueyoshi, Makoto, et al.. (2017). Three-dimensional Free Surface Flows Modeled by Lattice Boltzmann Method : A Comparison with Experimental Data. Evergreen. 4(1). 29–35. 7 indexed citations

Sueyoshi, Makoto, et al.. (2017). Lattice Boltzmann Method for Free Surface Impacting on Vertical Cylinder : A Comparison with Experimental Data. Evergreen. 4(2/3). 28–37. 10 indexed citations

Liu, Yingyi, Changhong Hu, Makoto Sueyoshi, et al.. (2014). Time domain simulation of a semi-submersible type floating wind turbine. Kyushu University Institutional Repository (QIR) (Kyushu University). 288–293. 1 indexed citations

Hosoda, Kazufumi, Shingo Suzuki, Takahiro Sakurai, et al.. (2014). Adaptation of a Cyanobacterium to a Biochemically Rich Environment in Experimental Evolution as an Initial Step toward a Chloroplast-Like State. PLoS ONE. 9(5). e98337–e98337. 9 indexed citations

Hu, Changhong, et al.. (2014). Hydrodynamic analysis of a semi-submersible type floating wind turbine. Kyushu University Institutional Repository (QIR) (Kyushu University). 1(4). 1–6. 17 indexed citations

Liao, Kangping, Changhong Hu, & Makoto Sueyoshi. (2014). Numerical Simulation of Free Surface Flow Impacting on an Elastic Plate. 7 indexed citations

10.

Hashimoto, Hirotada, et al.. (2013). Numerical Simulation Method for Damaged Ships under Flooding Condition. Journal of the Japan Society of Naval Architects and Ocean Engineers. 17(0). 41–47. 1 indexed citations

11.

Hashimoto, Hirotada, et al.. (2013). Numerical Simulation Method for Damaged Ships Under Flooding Condition. 6 indexed citations

12.

Hashimoto, Hirotada, et al.. (2011). Two-dimensional simulations of a damaged ship using the MPS method. 618–625. 3 indexed citations

13.

Hu, Changhong, Makoto Sueyoshi, & Masashi Kashiwagi. (2010). Numerical simulation of strongly nonlinear wave-ship interaction by CIP-based cartesian grid method. International Journal of Offshore and Polar Engineering. 20(2). 143–147. 7 indexed citations

14.

Sueyoshi, Makoto. (2009). Numerical simulation of tank sloshing with thin plate structures by using a particle method. 303–307. 1 indexed citations

15.

Hu, Changhong, et al.. (2009). A validation study of applying the CIP method and the MPS method to 2-D tank sloshing. 198–204. 1 indexed citations

16.

Hashimoto, Hirotada & Makoto Sueyoshi. (2008). An Estimation of the Anti-Rolling Tank Performance for Parametric Rolling Prevention (2nd report). Journal of the Japan Society of Naval Architects and Ocean Engineers. 8(0). 131–137. 2 indexed citations

17.

Hashimoto, Hirotada, et al.. (2007). An Estimation of the Anti-Rolling Tank Performance for Parametric Rolling Prevention. Journal of the Japan Society of Naval Architects and Ocean Engineers. 6(0). 305–311. 2 indexed citations

18.

Sueyoshi, Makoto. (2005). Validation of a numerical code by a particle method for violent free-surface problems. International Journal of Offshore and Polar Engineering. 16(4). 247–253. 5 indexed citations

19.

Sueyoshi, Makoto & Shigeru Naito. (2002). A Study of Nonlinear Fluid Phenomena with Particle Method (part2) : Two Dimensional Hydrodynamic Forces. 181–186. 4 indexed citations

20.

Naito, Shigeru & Makoto Sueyoshi. (2002). A numerical analysis of violent free surface flow by particle method. 219–226. 1 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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