Youngki Shin

27 papers and 337 indexed citations i.

About

Youngki Shin is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Youngki Shin has authored 27 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 7 papers in Economics and Econometrics and 6 papers in Artificial Intelligence. Recurrent topics in Youngki Shin’s work include Statistical Methods and Inference (17 papers), Statistical Methods and Bayesian Inference (7 papers) and Advanced Statistical Methods and Models (6 papers). Youngki Shin is often cited by papers focused on Statistical Methods and Inference (17 papers), Statistical Methods and Bayesian Inference (7 papers) and Advanced Statistical Methods and Models (6 papers). Youngki Shin collaborates with scholars based in Canada, United States and South Korea. Youngki Shin's co-authors include Sokbae Lee, Myung Hwan Seo, Yuan Liao, Jason Abrevaya, Byung Moon Kim, Young Kee Shin, Hawon Cho, Won‐Sik Shim, Mi‐Sook Kim and Chang-Joong Kang and has published in prestigious journals such as Journal of Neuroscience, Journal of the American Statistical Association and The Journal of Physical Chemistry C.

In The Last Decade

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

Fields of papers citing papers by Youngki Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Youngki Shin

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025