Wo Jae Lee
- Industrial and Manufacturing Engineering top 2%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Artificial Intelligence
- Automotive Engineering
- Co-authors
- John W. SutherlandGamini MendisHaiyue WuHan‐Jun KimMartin Byung‐Guk JunHuitaek YunMatthew J. TriebeFu Zhao
- Topics
- Manufacturing Process and Optimization (7 papers)Fault Detection and Control Systems (5 papers)Advanced machining processes and optimization (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringMedical Laboratory TechnologyControl and Systems Engineering
- Journals
- Journal of Cleaner ProductionSensorsThe International Journal of Advanced Manufacturing Technology
- Partner nations
- United StatesChina
In The Last Decade
Wo Jae Lee
14 papers receiving 391 citations
Peers
Comparison fields: 5 of 66
- Industrial and Manufacturing Engineering 166
- Control and Systems Engineering 144
- Mechanical Engineering 124
- Artificial Intelligence 62
- Automotive Engineering 49
Countries citing papers authored by Wo Jae Lee
This map shows the geographic impact of Wo Jae 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 Wo Jae Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wo Jae Lee more than expected).
Fields of papers citing papers by Wo Jae Lee
This network shows the impact of papers produced by Wo Jae 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 Wo Jae Lee. The network helps show where Wo Jae Lee may publish in the future.
Co-authorship network of co-authors of Wo Jae Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Wo Jae Lee. A scholar is included among the top collaborators of Wo Jae 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 Wo Jae Lee. Wo Jae 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 | 5 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 38 | |
| 9 | 33 | |
| 10 | 15 | |
| 11 | 142 | |
| 12 | 17 | |
| 13 | 81 | |
| 14 | 33 |
About Wo Jae Lee
Wo Jae Lee is a scholar working on Industrial and Manufacturing Engineering, Music and Control and Systems Engineering, having authored 14 papers that have together received 413 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (7 papers), Fault Detection and Control Systems (5 papers) and Advanced machining processes and optimization (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (166 citations), Medical Laboratory Technology (24 citations) and Control and Systems Engineering (144 citations). Wo Jae Lee has collaborated with scholars based in United States and China. Frequent co-authors include John W. Sutherland, Gamini Mendis, Haiyue Wu, Han‐Jun Kim, Martin Byung‐Guk Jun, Huitaek Yun, Matthew J. Triebe, Fu Zhao, Bruno Ribeiro and Aihua Huang. Their work appears in journals such as Journal of Cleaner Production, Sensors and The International Journal of Advanced Manufacturing Technology.
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.