Kyungjae Lee

2.1k citations
92 papers · 1.6k indexed · h-index 20
Topics
Reinforcement Learning in Robotics (18 papers)Rocket and propulsion systems research (10 papers)Robot Manipulation and Learning (9 papers)

In The Last Decade

Kyungjae Lee

75 papers receiving 1.5k citations

Peers

Kyungjae Lee
Comparison fields: 5 of 123
  • Materials Chemistry 522
  • Biomedical Engineering 416
  • Organic Chemistry 414
  • Electronic, Optical and Magnetic Materials 374
  • Inorganic Chemistry 254
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Citations per field
00.5×2.7×
Takao Ohmori · 1×
Citations per year

Countries citing papers authored by Kyungjae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kyungjae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyungjae Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kyungjae Lee. A scholar is included among the top collaborators of Kyungjae 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 Kyungjae Lee. Kyungjae 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
#WorkIndexed citations
1 0
2 3
3 1
4 0
5 0
6 32
7 11
8 32
9 49
10
Development of a Direct-Connected Supersonic Combustor Test Facility
1
11 22
12 6
13 1
14 38
15
The Mixed Finite Element Analysis for Saturated Porous Media using FETI Method
1
16 1
17
The Prediction of Air Flow and Pressure Loss at Inlet Duct
2
18
Exploration of Optimum Container for Production of Larix leptolepsis Container Seedlings
4
19 67
20
Seed Dispersion and Seedling Spatial Distribution of The Tree of Heaven in Urban Environments
8

About Kyungjae Lee

Kyungjae Lee is a scholar working on Automotive Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (18 papers), Rocket and propulsion systems research (10 papers) and Robot Manipulation and Learning (9 papers). The work is most often cited by research in Molecular Medicine (121 citations), Electronic, Optical and Magnetic Materials (374 citations) and Inorganic Chemistry (254 citations). Kyungjae Lee has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Kurt E. Geckeler, Thathan Premkumar, Y. Murali Mohan, Myoung Soo Lah, Songhwai Oh, Rohith P. John, Sungjoon Choi, Dohyun Moon, Ghyung Hwa Kim and Byoung Jin Suh. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

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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