Soo-Hwang Ahn

587 total citations
26 papers, 455 citations indexed

About

Soo-Hwang Ahn is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Soo-Hwang Ahn has authored 26 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanics of Materials, 13 papers in Mechanical Engineering and 9 papers in Civil and Structural Engineering. Recurrent topics in Soo-Hwang Ahn's work include Cavitation Phenomena in Pumps (19 papers), Hydraulic and Pneumatic Systems (11 papers) and Hydraulic flow and structures (8 papers). Soo-Hwang Ahn is often cited by papers focused on Cavitation Phenomena in Pumps (19 papers), Hydraulic and Pneumatic Systems (11 papers) and Hydraulic flow and structures (8 papers). Soo-Hwang Ahn collaborates with scholars based in China, Spain and Japan. Soo-Hwang Ahn's co-authors include Zhengwei Wang, Yongyao Luo, Yexiang Xiao, Honggang Fan, Xuezhi Zhou, Jingwei Cao, Lingjiu Zhou, Bao Guo, Yü̅suke Nakahara and Huili Bi and has published in prestigious journals such as Renewable Energy, Energies and Ocean Engineering.

In The Last Decade

Soo-Hwang Ahn

24 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soo-Hwang Ahn China 13 295 235 164 155 92 26 455
Yongfei Yang China 13 372 1.3× 305 1.3× 145 0.9× 131 0.8× 93 1.0× 41 490
Quanwei Liang China 11 239 0.8× 207 0.9× 91 0.6× 112 0.7× 67 0.7× 23 356
Xijie Song China 10 247 0.8× 180 0.8× 112 0.7× 119 0.8× 34 0.4× 37 343
Étienne Parkinson Switzerland 12 257 0.9× 159 0.7× 272 1.7× 152 1.0× 87 0.9× 22 503
Tom J.C. van Terwisga Netherlands 12 380 1.3× 154 0.7× 265 1.6× 67 0.4× 83 0.9× 25 479
Hao Chang China 10 363 1.2× 379 1.6× 120 0.7× 151 1.0× 80 0.9× 31 507
Cécile Münch-Alligné Switzerland 10 438 1.5× 281 1.2× 201 1.2× 182 1.2× 105 1.1× 47 527
Tom van Terwisga Netherlands 12 443 1.5× 199 0.8× 336 2.0× 101 0.7× 130 1.4× 35 629
Zhenmu Chen China 12 301 1.0× 238 1.0× 87 0.5× 157 1.0× 54 0.6× 58 387

Countries citing papers authored by Soo-Hwang Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Soo-Hwang Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo-Hwang Ahn. 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 Soo-Hwang Ahn. The network helps show where Soo-Hwang Ahn may publish in the future.

Co-authorship network of co-authors of Soo-Hwang Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Soo-Hwang Ahn. A scholar is included among the top collaborators of Soo-Hwang Ahn 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 Soo-Hwang Ahn. Soo-Hwang Ahn 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.
Ahn, Soo-Hwang, Jingwei Cao, Zhengwei Wang, et al.. (2023). Hydraulic performances of a bulb turbine with full field reservoir model based on entropy production analysis. Renewable Energy. 211. 347–360. 4 indexed citations
2.
Cao, Jingwei, Yongyao Luo, Alexandre Presas, et al.. (2022). Influence of rotation on the modal characteristics of a bulb turbine unit rotor. Renewable Energy. 187. 887–895. 20 indexed citations
3.
Cao, Jingwei, et al.. (2021). Transient thermo-elasto-hydrodynamic analysis of a bidirectional thrust bearing in start-up and shutdown processes. Engineering Computations. 39(4). 1511–1533. 10 indexed citations
4.
Bi, Huili, et al.. (2021). Investigation on Dynamic Stresses of Pump-Turbine Runner during Start Up in Turbine Mode. Processes. 9(3). 499–499. 26 indexed citations
5.
Zhou, Xuezhi, et al.. (2021). Experience Measurement of Winter-Kennedy method on low head tubular turbine units. IOP Conference Series Earth and Environmental Science. 627(1). 12021–12021.
6.
Guo, Bao, et al.. (2021). Numerical Analysis of Sand Erosion for a Pelton Turbine injector at High Concentration. IOP Conference Series Earth and Environmental Science. 627(1). 12022–12022. 4 indexed citations
7.
Cao, Jingwei, et al.. (2021). Analysis on the thrust bearing lubrication in pumped storage unit based on fluid-solid-thermal interactions. IOP Conference Series Earth and Environmental Science. 627(1). 12023–12023. 1 indexed citations
8.
Xiao, Yexiang, Bao Guo, Soo-Hwang Ahn, et al.. (2019). Slurry Flow and Erosion Prediction in a Centrifugal Pump after Long-Term Operation. Energies. 12(8). 1523–1523. 37 indexed citations
9.
Xiao, Yexiang, et al.. (2018). Hydraulic performance prediction of a prototype four-nozzle Pelton turbine by entire flow path simulation. Renewable Energy. 125. 270–282. 43 indexed citations
10.
Zhou, Xuezhi, et al.. (2018). Hydraulic characteristics analysis of a bulb tubular turbine based on the CFD simulation and model test. IOP Conference Series Earth and Environmental Science. 163. 12046–12046. 1 indexed citations
11.
Ahn, Soo-Hwang, et al.. (2018). Numerical estimation of air core length in two-phase free surface vortex. Journal of Hydraulic Research. 57(4). 475–487. 15 indexed citations
12.
Lei, Hong, Soo-Hwang Ahn, Honggang Fan, et al.. (2018). Numerical simulation of the performance of a low-head prototype Kaplan turbine. IOP Conference Series Earth and Environmental Science. 163. 12070–12070.
13.
Luo, Yongyao, et al.. (2018). Influence of runner clearance on efficiency and cavitation in kaplan turbine. IOP Conference Series Earth and Environmental Science. 163. 12068–12068. 2 indexed citations
14.
Lei, Hong, et al.. (2018). Numerical simulation of solid-liquid two-phase flow in a centrifugal pump with different wear blades degree. IOP Conference Series Earth and Environmental Science. 163. 12027–12027. 9 indexed citations
15.
Ahn, Soo-Hwang, et al.. (2017). Performance prediction of a prototype tidal power turbine by using a suitable numerical model. Renewable Energy. 113. 293–302. 29 indexed citations
16.
Wang, Zhengwei, et al.. (2017). Numerical Analysis of the Effect of Misaligned Guide Vanes on Improving S-Shaped Characteristics for a Pump-Turbine. Journal of Fluids Engineering. 140(3). 13 indexed citations
17.
Wang, Zhengwei, et al.. (2017). Numerical analysis of non-axisymmetric flow characteristic for a pump-turbine impeller at pump off-design condition. Renewable Energy. 115. 1075–1085. 42 indexed citations
18.
Ahn, Soo-Hwang, Yexiang Xiao, Xuezhi Zhou, et al.. (2016). Numerical analysis of Coriolis effect on low-head hydraulic turbines. IOP Conference Series Earth and Environmental Science. 49. 22012–22012. 8 indexed citations
19.
Ahn, Soo-Hwang, Yexiang Xiao, Zhengwei Wang, Xuezhi Zhou, & Yongyao Luo. (2016). Numerical prediction on the effect of free surface vortex on intake flow characteristics for tidal power station. Renewable Energy. 101. 617–628. 69 indexed citations
20.
Ahn, Soo-Hwang, Yexiang Xiao, & Zhengwei Wang. (2015). Numerical simulation of unsteady flow characteristics for cavitation around a 3-D hydrofoil. IOP Conference Series Materials Science and Engineering. 72(2). 22012–22012. 2 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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