Yongkyu Song

15 papers and 287 indexed citations i.

About

Yongkyu Song is a scholar working on Aerospace Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Yongkyu Song has authored 15 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Aerospace Engineering, 10 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Yongkyu Song’s work include Aerospace and Aviation Technology (7 papers), Control Systems and Identification (5 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Yongkyu Song is often cited by papers focused on Aerospace and Aviation Technology (7 papers), Control Systems and Identification (5 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Yongkyu Song collaborates with scholars based in South Korea, United States and Italy. Yongkyu Song's co-authors include Jessy W. Grizzle, Brad Seanor, Giampiero Campa, Marcello Napolitano, Mario Perhinschi, Won‐Sang Ra, Jinsoo Cho, Yeong-Cheol Kim, Mario Luca Fravolini and Junghan Kim and has published in prestigious journals such as Journal of Guidance Control and Dynamics, Journal of Aircraft and International Journal of Control Automation and Systems.

In The Last Decade

Co-authorship network of co-authors of Yongkyu Song i

Fields of papers citing papers by Yongkyu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yongkyu Song

Since Specialization
Citations

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