Eunhye Song

31 papers and 352 indexed citations i.

About

Eunhye Song is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Eunhye Song has authored 31 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 12 papers in Computational Theory and Mathematics and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Eunhye Song’s work include Simulation Techniques and Applications (17 papers), Probabilistic and Robust Engineering Design (9 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). Eunhye Song is often cited by papers focused on Simulation Techniques and Applications (17 papers), Probabilistic and Robust Engineering Design (9 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). Eunhye Song collaborates with scholars based in United States, South Korea and Hong Kong. Eunhye Song's co-authors include Barry L. Nelson, Jeremy Staum, C. Dennis Pegden, Yu‐Wen Lin, L. Jeff Hong, Soundar Kumara, Michael P. Brundage, Russell R. Barton, Andreas Wächter and Henry Lam and has published in prestigious journals such as Operations Research, IEEE Transactions on Magnetics and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Co-authorship network of co-authors of Eunhye Song i

Fields of papers citing papers by Eunhye Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eunhye Song

Since Specialization
Citations

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