Jae Young Lee
- Molecular Biology top 5%
- Genetics top 10%
- Computational Theory and Mathematics top 2%
- Plant Science top 10%
- Biomedical Engineering
- Co-authors
- Wei YangSe Won SuhDo‐Nyun KimJinho MoonKwang Yeon HwangDong Hae ShinYoon Ho ChoiHyun Kyu Song
- Topics
- Advanced biosensing and bioanalysis techniques (20 papers)RNA Interference and Gene Delivery (17 papers)Enzyme Structure and Function (11 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jae Young Lee
74 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.4k
- Genetics 255
- Computational Theory and Mathematics 227
- Plant Science 207
- Biomedical Engineering 197
Countries citing papers authored by Jae Young Lee
This map shows the geographic impact of Jae Young 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 Jae Young Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae Young Lee more than expected).
Fields of papers citing papers by Jae Young Lee
This network shows the impact of papers produced by Jae Young 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 Jae Young Lee. The network helps show where Jae Young Lee may publish in the future.
Co-authorship network of co-authors of Jae Young Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jae Young Lee. A scholar is included among the top collaborators of Jae Young 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 Jae Young Lee. Jae Young Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 55 | |
| 4 | 10 | |
| 5 | 41 | |
| 6 | Comparisons of continuous-time and discrete-time Q-learning schemes for adaptive linear quadratic control | 2 |
| 7 | Action-dependent updated terminal cost receding horizon control for discrete-time linear systems | 1 |
| 8 | DEVS-based Modeling Simulation for Semiconductor Manufacturing Using an Simulation-based Adaptive Real-time Job Control Framework | 0 |
| 9 | A Study for Improvement of the Positive Culture Rate Using Skin Biopsy Specimens in Patients with Cellulitis | 3 |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 179 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 63 | |
| 18 | 39 | |
| 19 | 2 | |
| 20 | 40 |
About Jae Young Lee
Jae Young Lee is a scholar working on Molecular Biology, Business and International Management and Ecology, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (20 papers), RNA Interference and Gene Delivery (17 papers) and Enzyme Structure and Function (11 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Computational Theory and Mathematics (227 citations) and Immunology and Allergy (75 citations). Jae Young Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Wei Yang, Se Won Suh, Do‐Nyun Kim, Jinho Moon, Kwang Yeon Hwang, Dong Hae Shin, Yoon Ho Choi, Hyun Kyu Song, Jin Kuk Yang and Jin Bae Park. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.