Su‐gil Cho

37 papers and 328 indexed citations i.

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 37 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 13 papers in Statistics, Probability and Uncertainty and 11 papers in Ocean Engineering. Recurrent topics in Su‐gil Cho’s work include Probabilistic and Robust Engineering Design (11 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Engineering Applied Research (6 papers). Su‐gil Cho is often cited by papers focused on Probabilistic and Robust Engineering Design (11 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Engineering Applied Research (6 papers). Su‐gil Cho collaborates with scholars based in South Korea, United States and China. Su‐gil Cho's co-authors include Tae Hee Lee, Jung-Pyo Hong, Sujin Lee, Jong-Su Choi, Sanghyun Park, Hyung Woo Kim, Jihoon Kim, Su-Jin Lee, Ji‐Min Kim and Jung‐Pyo Hong and has published in prestigious journals such as Sensors, Energies and IEEE Transactions on Magnetics.

In The Last Decade

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

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.

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).

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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