Kee-Eung Kim

2.1k total citations
63 papers, 941 citations indexed

About

Kee-Eung Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Kee-Eung Kim has authored 63 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Management Science and Operations Research. Recurrent topics in Kee-Eung Kim's work include Reinforcement Learning in Robotics (23 papers), Speech and dialogue systems (10 papers) and Topic Modeling (10 papers). Kee-Eung Kim is often cited by papers focused on Reinforcement Learning in Robotics (23 papers), Speech and dialogue systems (10 papers) and Topic Modeling (10 papers). Kee-Eung Kim collaborates with scholars based in South Korea, United States and Canada. Kee-Eung Kim's co-authors include Nicolas Meuleau, Leslie Pack Kaelbling, Leonid Peshkin, Thomas Dean, Yurong Li, Zidong Wang, Hong Zhang, Nianyin Zeng, Xiaohui Liu and Pascal Poupart and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Cybernetics and Machine Learning.

In The Last Decade

Kee-Eung Kim

59 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kee-Eung Kim South Korea 16 565 144 115 110 107 63 941
Subramanian Ramamoorthy United Kingdom 17 359 0.6× 254 1.8× 62 0.5× 66 0.6× 233 2.2× 104 906
Kurt Driessens Netherlands 15 601 1.1× 193 1.3× 58 0.5× 46 0.4× 63 0.6× 52 852
Gracián Triviño Spain 16 440 0.8× 186 1.3× 34 0.3× 63 0.6× 51 0.5× 59 776
Heiko Wersing Germany 19 634 1.1× 316 2.2× 118 1.0× 98 0.9× 145 1.4× 57 1.2k
Sin-Chun Ng Hong Kong 16 461 0.8× 152 1.1× 88 0.8× 41 0.4× 161 1.5× 96 1.0k
Yang-Yin Lin Taiwan 12 755 1.3× 75 0.5× 154 1.3× 46 0.4× 318 3.0× 23 1.1k
Lilian Weng United States 5 601 1.1× 231 1.6× 104 0.9× 59 0.5× 584 5.5× 9 1.4k
Karthik Narasimhan United States 18 844 1.5× 259 1.8× 40 0.3× 73 0.7× 91 0.9× 45 1.1k
Herke van Hoof Netherlands 17 537 1.0× 170 1.2× 163 1.4× 46 0.4× 427 4.0× 36 1.0k
Ning Xiong Sweden 17 513 0.9× 84 0.6× 46 0.4× 40 0.4× 141 1.3× 80 913

Countries citing papers authored by Kee-Eung Kim

Since Specialization
Citations

This map shows the geographic impact of Kee-Eung Kim'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 Kee-Eung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kee-Eung Kim more than expected).

Fields of papers citing papers by Kee-Eung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kee-Eung Kim. 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 Kee-Eung Kim. The network helps show where Kee-Eung Kim may publish in the future.

Co-authorship network of co-authors of Kee-Eung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kee-Eung Kim. A scholar is included among the top collaborators of Kee-Eung Kim 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 Kee-Eung Kim. Kee-Eung Kim 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
1.
2.
Kim, Sungyoon, et al.. (2024). Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL. Proceedings of the AAAI Conference on Artificial Intelligence. 38(12). 13160–13167. 2 indexed citations
3.
Hong, Seunghoon, et al.. (2021). Multi-View Representation Learning via Total Correlation Objective. Neural Information Processing Systems. 34. 4 indexed citations
4.
Ham, Jiyeon, et al.. (2018). Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(11). 2072–2082. 7 indexed citations
5.
Lee, Jongmin, et al.. (2018). Monte-Carlo Tree Search for Constrained POMDPs. Neural Information Processing Systems. 31. 7923–7932. 17 indexed citations
6.
Kim, Kee-Eung, et al.. (2018). A Bayesian Approach to Generative Adversarial Imitation Learning. Neural Information Processing Systems. 31. 7429–7439. 7 indexed citations
7.
Kim, Kee-Eung, et al.. (2016). An Inverse Reinforcement Learning Approach to Car Following Behaviors. Transportation Research Board 95th Annual MeetingTransportation Research Board. 3 indexed citations
8.
Kim, Kee-Eung, et al.. (2013). Bayesian nonparametric feature construction for inverse reinforcement learning. International Joint Conference on Artificial Intelligence. 1287–1293. 19 indexed citations
9.
Kim, Dongho, et al.. (2012). A POMDP Framework for Dynamic Task Allocation and Reconnaissance of Multiple Unmanned Aerial Vehicles. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 39(6). 453–463. 2 indexed citations
10.
Kim, Kee-Eung, et al.. (2012). Exploiting symmetries for single- and multi-agent Partially Observable Stochastic Domains. Artificial Intelligence. 182-183. 32–57. 2 indexed citations
11.
Kim, Kee-Eung, et al.. (2009). Inverse Reinforcement Learning in Partially Observable Environments. Journal of Machine Learning Research. 12(21). 1028–1033. 27 indexed citations
12.
Kim, Kee-Eung, et al.. (2008). Symbolic heuristic search value iteration for factored POMDPs. National Conference on Artificial Intelligence. 1088–1093. 9 indexed citations
13.
Kim, Kee-Eung. (2008). Exploiting symmetries in POMDPs for point-based algorithms. National Conference on Artificial Intelligence. 1043–1048. 9 indexed citations
14.
Kim, Ji‐Hoon, et al.. (2007). Signboard Recognition by Consistency Checking of Local Features. IEICE Technical Report; IEICE Tech. Rep.. 107(281). 155–160.
15.
Kim, Kee-Eung, et al.. (2006). Hand grip pattern recognition for mobile user interfaces. Innovative Applications of Artificial Intelligence. 1789–1794. 53 indexed citations
16.
Kim, Kee-Eung & Thomas Dean. (2001). Solving factored MDPs via non-homogeneous partitioning. International Joint Conference on Artificial Intelligence. 683–689. 3 indexed citations
17.
Meuleau, Nicolas, Leonid Peshkin, Leslie Pack Kaelbling, & Kee-Eung Kim. (2000). Off-Policy Policy Search. 5 indexed citations
18.
Kim, Kee-Eung, Thomas Dean, & Nicolas Meuleau. (2000). Approximate solutions to factored Markov decision processes via greedy search in the space of finite state controllers. Current Medical Research and Opinion. 39(7). 323–330. 6 indexed citations
19.
Dean, Thomas, Robert Givan, & Kee-Eung Kim. (1998). Solving stochastic planning problems with large state and action spaces. 102–110. 10 indexed citations
20.
Meuleau, Nicolas, Miloš Hauskrecht, Kee-Eung Kim, et al.. (1998). Solving very large weakly coupled Markov decision processes. National Conference on Artificial Intelligence. 165–172. 126 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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