Jaehoon Lee

About

Jaehoon Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Jaehoon Lee has authored 13 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Jaehoon Lee’s work include Gaussian Processes and Bayesian Inference (5 papers), Machine Learning and Data Classification (5 papers) and Adversarial Robustness in Machine Learning (3 papers). Jaehoon Lee is often cited by papers focused on Gaussian Processes and Bayesian Inference (5 papers), Machine Learning and Data Classification (5 papers) and Adversarial Robustness in Machine Learning (3 papers). Jaehoon Lee collaborates with scholars based in United States, South Korea and Japan. Jaehoon Lee's co-authors include Jascha Sohl‐Dickstein, Roman Novak, Yasaman Bahri, Jeffrey Pennington, Samuel S. Schoenholz, Lechao Xiao, Jiri Hron, Greg Yang, Ethan Dyer and Jared Kaplan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Access and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Jaehoon Lee i

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Fields of papers citing papers by Jaehoon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jaehoon Lee

Since Specialization

Citations

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