Yooju Shin

About

Yooju Shin is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Yooju Shin has authored 8 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Yooju Shin’s work include Time Series Analysis and Forecasting (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Network Security and Intrusion Detection (2 papers). Yooju Shin is often cited by papers focused on Time Series Analysis and Forecasting (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Network Security and Intrusion Detection (2 papers). Yooju Shin collaborates with scholars based in South Korea, United States and Canada. Yooju Shin's co-authors include Jae-Gil Lee, Hwanjun Song, Minseok Kim, Byung Suk Lee, Kijung Shin and Doyoung Kim and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Proceedings of the 2022 International Conference on Management of Data and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Yooju Shin i

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Fields of papers citing papers by Yooju Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yooju Shin

Since Specialization

Citations

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