Kimin Lee

4.0k total citations
31 papers, 211 citations indexed

About

Kimin Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Kimin Lee has authored 31 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Kimin Lee's work include Reinforcement Learning in Robotics (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Machine Learning and Data Classification (5 papers). Kimin Lee is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Machine Learning and Data Classification (5 papers). Kimin Lee collaborates with scholars based in South Korea, United States and Canada. Kimin Lee's co-authors include Jinwoo Shin, Pieter Abbeel, Honglak Lee, Kibok Lee, Fangchen Liu, Song Chong, Bo Li, Sukmin Yun, Bohyung Han and Jonghwan Mun and has published in prestigious journals such as IEEE/ACM Transactions on Networking, BMC Complementary and Alternative Medicine and Scholarworks@UNIST (Ulsan National Institute of Science and Technology).

In The Last Decade

Kimin Lee

28 papers receiving 197 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kimin Lee South Korea 10 115 60 43 19 18 31 211
Olaf Henniger Germany 7 32 0.3× 46 0.8× 58 1.3× 9 0.5× 30 1.7× 24 162
Oron Anschel United States 4 113 1.0× 100 1.7× 13 0.3× 29 1.5× 9 0.5× 5 207
Ürün Doǧan United States 8 120 1.0× 68 1.1× 11 0.3× 29 1.5× 9 0.5× 14 190
Izaskun Oregi Spain 8 100 0.9× 12 0.2× 52 1.2× 22 1.2× 14 0.8× 20 184
Tuong Do United Kingdom 6 125 1.1× 105 1.8× 28 0.7× 19 1.0× 18 1.0× 16 202
Neeraj Kumar Pandey India 8 45 0.4× 34 0.6× 21 0.5× 11 0.6× 53 2.9× 61 193
Pei Luo United States 10 159 1.4× 73 1.2× 58 1.3× 6 0.3× 26 1.4× 23 231
Yuwei Xu China 11 91 0.8× 45 0.8× 130 3.0× 21 1.1× 128 7.1× 38 268
Scott Fujimoto Canada 3 114 1.0× 36 0.6× 38 0.9× 51 2.7× 16 0.9× 6 191

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).

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.

Co-authorship network of co-authors of Kimin Lee

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

All Works

20 of 20 papers shown
2.
Hahm, Daegi, et al.. (2025). Enhancing LLM Agent Safety via Causal Influence Prompting. 15143–15168.
3.
Lee, Kimin, et al.. (2024). By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting. 2219–2241. 2 indexed citations
4.
Liu, Hao, et al.. (2024). Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback. 13554–13570. 1 indexed citations
5.
Weihs, Luca, et al.. (2024). Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences. 16216–16226. 2 indexed citations
6.
Lee, Kimin, Laura Smith, Anca D. Dragan, & Pieter Abbeel. (2021). B-Pref: Benchmarking Preference-Based Reinforcement Learning. arXiv (Cornell University). 3 indexed citations
7.
Mo, Sangwoo, et al.. (2021). MASKER: Masked Keyword Regularization for Reliable Text Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13578–13586. 16 indexed citations
8.
Laskin, Michael, Denis Yarats, Hao Liu, et al.. (2021). URLB: Unsupervised Reinforcement Learning Benchmark. arXiv (Cornell University). 7 indexed citations
9.
Lee, Kimin, Kibok Lee, Jinwoo Shin, & Honglak Lee. (2020). Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning. International Conference on Learning Representations. 12 indexed citations
10.
Laskin, Michael, Kimin Lee, Adam Stooke, et al.. (2020). Reinforcement Learning with Augmented Data. Neural Information Processing Systems. 33. 19884–19895. 9 indexed citations
11.
Lee, Kimin, Kibok Lee, Jinwoo Shin, & Honglak Lee. (2019). A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. arXiv (Cornell University). 3 indexed citations
12.
Lee, Kimin, et al.. (2019). Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures. IEEE/ACM Transactions on Networking. 28(1). 84–97. 10 indexed citations
13.
Mun, Jonghwan, Kimin Lee, Jinwoo Shin, & Bohyung Han. (2018). Learning to Specialize with Knowledge Distillation for Visual Question Answering. Seoul National University Open Repository (Seoul National University). 31. 8081–8091. 16 indexed citations
14.
Lee, Kimin, Sukmin Yun, Kibok Lee, et al.. (2018). Robust Determinantal Generative Classifier for Noisy Labels and Adversarial Attacks. 2 indexed citations
15.
Jeon, Yong‐Deok, Kimin Lee, Boram Kim, et al.. (2018). Inhibitory effects of Euphorbia supina on Propionibacterium acnes-induced skin inflammation in vitro and in vivo. BMC Complementary and Alternative Medicine. 18(1). 263–263. 15 indexed citations
16.
Lee, Kimin, Chang Ho Hwang, Kyong Soo Park, & Jinwoo Shin. (2017). Confident multiple choice learning. International Conference on Machine Learning. 2014–2023. 9 indexed citations
17.
Kim, Jin Wook, Hyeon-Chang Son, Do–Hyeon Kim, et al.. (2012). Wireless power transfer for free positioning using compact planar multiple self-resonators. 127–130. 24 indexed citations
18.
Lee, Min‐Gu, et al.. (2011). Compact 3D lidar based on optically coupled horizontal and vertical scanning mechanism for the autonomous navigation of robots. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8037. 80371H–80371H. 1 indexed citations
19.
Cho, Kuk, et al.. (2011). Pedestrian and car detection and classification for unmanned ground vehicle using 3D lidar and monocular camera. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8045. 804507–804507. 1 indexed citations
20.
Lee, Young‐Ho, et al.. (2010). A new design of interpolator for Time to Digital Converter. 1. 207–210. 1 indexed citations

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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