Chung Ji-Hyong

About

Chung Ji-Hyong is a scholar working on Artificial Intelligence, Strategy and Management and Management Science and Operations Research. According to data from OpenAlex, Chung Ji-Hyong has authored 2 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Strategy and Management and 1 paper in Management Science and Operations Research. Recurrent topics in Chung Ji-Hyong’s work include Digital Platforms and Economics (1 paper), ICT Impact and Policies (1 paper) and Firm Innovation and Growth (1 paper). Chung Ji-Hyong is often cited by papers focused on Digital Platforms and Economics (1 paper), ICT Impact and Policies (1 paper) and Firm Innovation and Growth (1 paper). Chung Ji-Hyong collaborates with scholars based in South Korea and United States. Chung Ji-Hyong's co-authors include Kim Gang-Hoon and Silvana Trimi and has published in prestigious journals such as Communications of the ACM and SSRN Electronic Journal.

In The Last Decade

Co-authorship network of co-authors of Chung Ji-Hyong i

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Fields of papers citing papers by Chung Ji-Hyong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung Ji-Hyong. 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 Chung Ji-Hyong. The network helps show where Chung Ji-Hyong may publish in the future.

Countries citing papers authored by Chung Ji-Hyong

Since Specialization

Citations

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