Soo-Yeon Ji

37 papers and 328 indexed citations
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About

Soo-Yeon Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Soo-Yeon Ji has authored 37 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Computer Networks and Communications. Recurrent topics in Soo-Yeon Ji’s work include Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Data Visualization and Analytics (4 papers). Soo-Yeon Ji is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Data Visualization and Analytics (4 papers). Soo-Yeon Ji collaborates with scholars based in United States, Norway and Ghana. Soo-Yeon Ji's co-authors include Dong Hyun Jeong, Kayvan Najarian, Rebecca Smith, Kevin R. Ward, Byunggu Yu, Wenan Chen, Toan Huynh, Remco Chang, Charles Kamhoua and Nandi Leslie and has published in prestigious journals such as Circulation, NeuroImage and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Soo-Yeon Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Soo-Yeon Ji. A scholar is included among the top collaborators of Soo-Yeon Ji 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 Soo-Yeon Ji. Soo-Yeon Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Soo-Yeon Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo-Yeon Ji. 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 Soo-Yeon Ji. The network helps show where Soo-Yeon Ji may publish in the future.

Countries citing papers authored by Soo-Yeon Ji

Since Specialization
Citations

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