Kimin Lee

20 papers and 257 indexed citations i.

About

Kimin Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kimin Lee has authored 20 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kimin Lee’s work include Domain Adaptation and Few-Shot Learning (10 papers), Reinforcement Learning in Robotics (6 papers) and Multimodal Machine Learning Applications (5 papers). Kimin Lee is often cited by papers focused on Domain Adaptation and Few-Shot Learning (10 papers), Reinforcement Learning in Robotics (6 papers) and Multimodal Machine Learning Applications (5 papers). Kimin Lee collaborates with scholars based in South Korea, United States and Canada. Kimin Lee's co-authors include Jinwoo Shin, Honglak Lee, Kibok Lee, Kyle Min, Bo Li, Sukmin Yun, Bohyung Han, Jonghwan Mun, Pieter Abbeel and Jaeho Lee and has published in prestigious journals such as IEEE/ACM Transactions on Networking, BMC Complementary and Alternative Medicine and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

Fields of papers citing papers by Kimin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kimin Lee

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025