Jong Chan Won
About
In The Last Decade
Co-authorship network of co-authors of Jong Chan Won
This figure shows the co-authorship network connecting the top 25 collaborators of Jong Chan Won. A scholar is included among the top collaborators of Jong Chan Won based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jong Chan Won. Jong Chan Won is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Jong Chan Won
84 papers receiving 1.9k citations
Fields of papers citing papers by Jong Chan Won
This network shows the impact of papers produced by Jong Chan Won. 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 Jong Chan Won. The network helps show where Jong Chan Won may publish in the future.
Countries citing papers authored by Jong Chan Won
This map shows the geographic impact of Jong Chan Won'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 Jong Chan Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong Chan Won more than expected).
Top Papers & Citation Paths
Explore Jong Chan Won's most cited publications and discover how their work connects to other scholars through citations.
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.