Sang-Moon Soak

12 papers and 260 indexed citations i.

About

Sang-Moon Soak is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Sang-Moon Soak has authored 12 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Industrial and Manufacturing Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in Sang-Moon Soak’s work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Optimization and Packing Problems (4 papers). Sang-Moon Soak is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Optimization and Packing Problems (4 papers). Sang-Moon Soak collaborates with scholars based in South Korea, United States and United Kingdom. Sang-Moon Soak's co-authors include Moongu Jeon, Sangwook Lee, Sanghoun Oh, Witold Pedrycz, David Corne, Gi‐Tae Yeo, Michael Roe, Sungbae Lee, Kangil Kim and Byung-Ha Ahn and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Applied Intelligence and Progress in Natural Science Materials International.

In The Last Decade

Co-authorship network of co-authors of Sang-Moon Soak i

Fields of papers citing papers by Sang-Moon Soak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Moon Soak. 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 Sang-Moon Soak. The network helps show where Sang-Moon Soak may publish in the future.

Countries citing papers authored by Sang-Moon Soak

Since Specialization
Citations

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