Jae Wook Song

34 papers and 317 indexed citations i.

About

Jae Wook Song is a scholar working on Economics and Econometrics, Finance and Management Science and Operations Research. According to data from OpenAlex, Jae Wook Song has authored 34 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 11 papers in Finance and 10 papers in Management Science and Operations Research. Recurrent topics in Jae Wook Song’s work include Complex Systems and Time Series Analysis (17 papers), Stock Market Forecasting Methods (10 papers) and Financial Risk and Volatility Modeling (8 papers). Jae Wook Song is often cited by papers focused on Complex Systems and Time Series Analysis (17 papers), Stock Market Forecasting Methods (10 papers) and Financial Risk and Volatility Modeling (8 papers). Jae Wook Song collaborates with scholars based in South Korea. Jae Wook Song's co-authors include Woojin Chang, Ji Hwan Park, Ho‐Jin Lee, Young Eun Kwon, Changju Lee, Sang-Kyu Kim, Min Cheol Lee, Han Do Ghim, Jin Hyun Choi and Won Seok Lyoo and has published in prestigious journals such as IEEE Access, Sustainability and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Jae Wook Song i

Fields of papers citing papers by Jae Wook Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jae Wook Song

Since Specialization
Citations

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