Hyun Ah Song

16 papers and 206 indexed citations i.

About

Hyun Ah Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Hyun Ah Song has authored 16 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Hyun Ah Song’s work include Anomaly Detection Techniques and Applications (5 papers), Time Series Analysis and Forecasting (3 papers) and Complex Network Analysis Techniques (2 papers). Hyun Ah Song is often cited by papers focused on Anomaly Detection Techniques and Applications (5 papers), Time Series Analysis and Forecasting (3 papers) and Complex Network Analysis Techniques (2 papers). Hyun Ah Song collaborates with scholars based in United States, South Korea and Germany. Hyun Ah Song's co-authors include Tae Kwon Lee, Christos Faloutsos, Bryan Hooi, Bo-Kyeong Kim, Soo Young Lee, Kijung Shin, Neil Shah, Alex Beutel, Daniel Esken and Jun Hwan Ahn and has published in prestigious journals such as Journal of Power Sources, Bioresource Technology and Small.

In The Last Decade

Co-authorship network of co-authors of Hyun Ah Song i

Fields of papers citing papers by Hyun Ah Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hyun Ah Song

Since Specialization
Citations

This map shows the geographic impact of Hyun Ah 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 Hyun Ah Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun Ah 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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2025