Jang-Moo Lee
- Automotive Engineering top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Materials Chemistry
- Co-authors
- Yeong-il ParkSeung‐Ki SulHansang ChoSuk WonWon‐Young LeeSanghoon JiHyeoun-Dong LeeJoonho Park
- Topics
- Electric and Hybrid Vehicle Technologies (9 papers)Mechanical Engineering and Vibrations Research (5 papers)Engineering Applied Research (3 papers)
- Journals
- Journal of Sound and VibrationCIRP AnnalsJournal of Dynamic Systems Measurement and Control
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Jang-Moo Lee
13 papers receiving 357 citations
Peers
Comparison fields: 5 of 31
- Automotive Engineering 288
- Electrical and Electronic Engineering 191
- Control and Systems Engineering 77
- Mechanical Engineering 60
- Materials Chemistry 47
Countries citing papers authored by Jang-Moo Lee
This map shows the geographic impact of Jang-Moo 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 Jang-Moo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jang-Moo Lee more than expected).
Fields of papers citing papers by Jang-Moo Lee
This network shows the impact of papers produced by Jang-Moo 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 Jang-Moo Lee. The network helps show where Jang-Moo Lee may publish in the future.
Co-authorship network of co-authors of Jang-Moo Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jang-Moo Lee. A scholar is included among the top collaborators of Jang-Moo 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 Jang-Moo Lee. Jang-Moo 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 | 18 | |
| 2 | 33 | |
| 3 | Experimental Analysis of 2-Dimensional Rolling Ftiction Occurred in Semi-Spherical CVT | 0 |
| 4 | 12 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 186 | |
| 12 | 60 | |
| 13 | 14 | |
| 14 | Dynamic Characteristics Analysis and Chatter Prediction in High Speed CNC Lathe | 1 |
| 15 | 20 | |
| 16 | 3 |
About Jang-Moo Lee
Jang-Moo Lee is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes and Mechanical Engineering, having authored 16 papers that have together received 379 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (9 papers), Mechanical Engineering and Vibrations Research (5 papers) and Engineering Applied Research (3 papers). The work is most often cited by research in Automotive Engineering (288 citations), Fluid Flow and Transfer Processes (42 citations) and Control and Systems Engineering (77 citations). Jang-Moo Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Yeong-il Park, Seung‐Ki Sul, Hansang Cho, Suk Won, Won‐Young Lee, Sanghoon Ji, Hyeoun-Dong Lee, Joonho Park, Ikwhang Chang and Yusung Kim. Their work appears in journals such as Journal of Sound and Vibration, CIRP Annals and Journal of Dynamic Systems Measurement and Control.
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.