Yang‐Sae Moon

70 papers and 507 indexed citations i.

About

Yang‐Sae Moon is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yang‐Sae Moon has authored 70 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 30 papers in Signal Processing and 22 papers in Artificial Intelligence. Recurrent topics in Yang‐Sae Moon’s work include Time Series Analysis and Forecasting (19 papers), Advanced Database Systems and Queries (16 papers) and Data Management and Algorithms (15 papers). Yang‐Sae Moon is often cited by papers focused on Time Series Analysis and Forecasting (19 papers), Advanced Database Systems and Queries (16 papers) and Data Management and Algorithms (15 papers). Yang‐Sae Moon collaborates with scholars based in South Korea, United States and China. Yang‐Sae Moon's co-authors include Kyu-Young Whang, Hyo-Sang Lim, Woong-Kee Loh, Elisa Bertino, Jinho Kim, Wook-Shin Han, Hyeonseung Im, Jae-Gil Lee, Xuemin Lin and Longbing Cao and has published in prestigious journals such as Sensors, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Yang‐Sae Moon i

Fields of papers citing papers by Yang‐Sae Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang‐Sae Moon. 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 Yang‐Sae Moon. The network helps show where Yang‐Sae Moon may publish in the future.

Countries citing papers authored by Yang‐Sae Moon

Since Specialization
Citations

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