Han Hee Song

About

Han Hee Song is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Han Hee Song has authored 18 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Han Hee Song’s work include Complex Network Analysis Techniques (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Privacy, Security, and Data Protection (4 papers). Han Hee Song is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Privacy, Security, and Data Protection (4 papers). Han Hee Song collaborates with scholars based in United States, Italy and Hong Kong. Han Hee Song's co-authors include Lili Qiu, Yin Zhang⋆, Vacha Dave, Mario Baldi, Yin Zhang, David Bindel, Yan Chen, Randy H. Katz, Idílio Drago and Marco Mellia and has published in prestigious journals such as IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review and Computer Networks.

In The Last Decade

Co-authorship network of co-authors of Han Hee Song i

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Fields of papers citing papers by Han Hee Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Han Hee Song

Since Specialization

Citations

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