Su‐gil Cho

500 total citations
42 papers, 404 citations indexed

About

Su‐gil Cho is a scholar working on Mechanical Engineering, Statistics, Probability and Uncertainty and Ocean Engineering. According to data from OpenAlex, Su‐gil Cho has authored 42 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 15 papers in Statistics, Probability and Uncertainty and 12 papers in Ocean Engineering. Recurrent topics in Su‐gil Cho's work include Probabilistic and Robust Engineering Design (12 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Optimal Experimental Design Methods (8 papers). Su‐gil Cho is often cited by papers focused on Probabilistic and Robust Engineering Design (12 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Optimal Experimental Design Methods (8 papers). Su‐gil Cho collaborates with scholars based in South Korea, United States and Japan. Su‐gil Cho's co-authors include Tae Hee Lee, Kyu‐Seob Kim, Jung-Pyo Hong, Sujin Lee, Jong-Su Choi, Hyung Woo Kim, Jihoon Kim, Sanghyun Park, Su-Jin Lee and Hyung-Woo Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Energies.

In The Last Decade

Su‐gil Cho

39 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su‐gil Cho South Korea 12 126 120 79 77 70 42 404
Chang Xu China 14 130 1.0× 120 1.0× 15 0.2× 22 0.3× 97 1.4× 58 595
Wenbin Dong China 10 276 2.2× 94 0.8× 81 1.0× 212 2.8× 118 1.7× 19 658
Shenglong Zhang China 13 94 0.7× 58 0.5× 139 1.8× 41 0.5× 32 0.5× 41 457
Pietro Bortolotti United States 12 51 0.4× 56 0.5× 64 0.8× 47 0.6× 59 0.8× 48 432
John D. Sørensen Denmark 13 89 0.7× 71 0.6× 61 0.8× 124 1.6× 59 0.8× 33 491
Zhiyang Zhang China 10 83 0.7× 147 1.2× 100 1.3× 39 0.5× 71 1.0× 49 436
Maciej Chaczykowski Poland 10 159 1.3× 235 2.0× 62 0.8× 26 0.3× 95 1.4× 34 559
Peter Breuhaus Norway 16 386 3.1× 105 0.9× 90 1.1× 41 0.5× 134 1.9× 30 767
Tao Tao China 14 68 0.5× 96 0.8× 121 1.5× 52 0.7× 102 1.5× 36 511
Syed Ishtiaq Ahmad Bangladesh 13 84 0.7× 19 0.2× 52 0.7× 190 2.5× 64 0.9× 47 624

Countries citing papers authored by Su‐gil Cho

Since Specialization
Citations

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

Fields of papers citing papers by Su‐gil Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐gil Cho. 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 Su‐gil Cho. The network helps show where Su‐gil Cho may publish in the future.

Co-authorship network of co-authors of Su‐gil Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐gil Cho. A scholar is included among the top collaborators of Su‐gil Cho 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 Su‐gil Cho. Su‐gil Cho 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.
Cho, Su‐gil, et al.. (2025). Risk assessment of an offshore green hydrogen production system. Process Safety Progress. 44(3). 368–378.
2.
Cho, Su‐gil, et al.. (2024). Evaluation of Influencing Factors in Cleaning Performance for Bio-Fouling Removal Based on High-Pressure Water Jets. Journal of Marine Science and Engineering. 12(7). 1086–1086. 3 indexed citations
3.
Lee, Tae Hee, et al.. (2023). Risk assessment of solid desiccant dehydration package system using safety integrity level‐based safety instrumented system design approach. Process Safety Progress. 43(1). 126–137. 1 indexed citations
4.
Cho, Su‐gil, et al.. (2023). Development of an Autonomous Cleaning Robot with a Hydraulic Manipulator Arm for the Cleaning of Niche Areas of a Ship Hull. Journal of Marine Science and Engineering. 11(5). 973–973. 12 indexed citations
5.
Cho, Su‐gil, et al.. (2022). Autonomous Cleaning System Using Manipulator for Niche Area of Ship Hull: A Preliminary Study. IFAC-PapersOnLine. 55(31). 216–221. 1 indexed citations
6.
7.
Seo, Dong‐Woo, et al.. (2020). A Design and Analysis of Pressure Predictive Model for Oscillating Water Column Wave Energy Converters Based on Machine Learning. Journal of the Korea Academia-Industrial cooperation Society. 21(11). 672–682.
8.
Cho, Su‐gil, et al.. (2019). Design optimization of deep-seabed pilot miner system with coupled relations between constraints. Journal of Terramechanics. 83. 25–34. 52 indexed citations
9.
Cho, Su‐gil, Jihoon Kim, Tae Hee Lee, et al.. (2019). Reliability-based design optimization of a pick-up device of a manganese nodule pilot mining robot using the Coandă effect. Journal of Mechanical Science and Technology. 33(8). 3665–3672. 40 indexed citations
10.
Cho, Su‐gil, et al.. (2018). Reliability evaluation of conceptual design for the dehydration package. Journal of Mechanical Science and Technology. 32(11). 5263–5271. 2 indexed citations
11.
Cho, Su‐gil, et al.. (2016). Nonparametric approach for uncertainty-based multidisciplinary design optimization considering limited data. Structural and Multidisciplinary Optimization. 54(6). 1671–1688. 13 indexed citations
12.
Kim, Jihoon, et al.. (2016). An Efficient Constraint Boundary Sampling Method for Sequential RBDO Using Kriging Surrogate Model. Transactions of the Korean Society of Mechanical Engineers A. 40(6). 587–593. 1 indexed citations
13.
Cho, Su‐gil, et al.. (2016). A Study on the Simulation-based Design for Optimum Arrangement of Buoyancy Modules in Marine Riser System. Journal of Ocean Engineering and Technology. 30(1). 10–17. 3 indexed citations
14.
Lee, Tae Hee, et al.. (2016). Estimation of body and tail distribution under extreme events for reliability analysis. Structural and Multidisciplinary Optimization. 54(6). 1631–1639. 7 indexed citations
15.
Cho, Su‐gil, Su-Jin Lee, Kyu‐Seob Kim, et al.. (2015). Reliability-Based Robust Design Optimization With Kernel Density Estimation for Electric Power Steering Motor Considering Manufacturing Uncertainties. IEEE Transactions on Magnetics. 51(3). 1–4. 30 indexed citations
16.
Lee, Tae Hee, et al.. (2012). Robust Optimization of Test Miner Considering Deep-sea Environmental Variables. The Twenty-second International Offshore and Polar Engineering Conference. 1 indexed citations
17.
Cho, Su‐gil, et al.. (2012). Taguchi Robust Design of Tracked Vehicle for Manganese Nodule Test Miner in Collecting Operation Considering Deep-sea Noise Factors. Journal of Ocean Engineering and Technology. 26(1). 41–46. 1 indexed citations
18.
19.
Yeu, Tae–Kyeong, et al.. (2012). Optimum Design of Underwater Connector Hole Arrangement for Deep-sea Pressure Vessel Cover Plate. Transactions of the Korean Society of Mechanical Engineers A. 36(12). 1627–1633. 1 indexed citations
20.
Cho, Su‐gil, et al.. (2012). Efficient Robust Design Optimization Using Statistical Moment Based on Multiplicative Decomposition Considering Non-normal Noise Factors. Transactions of the Korean Society of Mechanical Engineers A. 36(11). 1305–1310. 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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