Jaeyeon Lee
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Geehyuk LeeJoo-Haeng LeeMinsu JangJaehong KimYoungwoo YoonWooram ParkSeongkook HeoDaniel Wigdor
- Topics
- Tactile and Sensory Interactions (9 papers)Robot Manipulation and Learning (7 papers)Robotic Path Planning Algorithms (7 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jaeyeon Lee
63 papers receiving 637 citations
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 208
- Human-Computer Interaction 179
- Biomedical Engineering 169
- Control and Systems Engineering 149
- Cognitive Neuroscience 117
Countries citing papers authored by Jaeyeon Lee
This map shows the geographic impact of Jaeyeon 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 Jaeyeon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaeyeon Lee more than expected).
Fields of papers citing papers by Jaeyeon Lee
This network shows the impact of papers produced by Jaeyeon 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 Jaeyeon Lee. The network helps show where Jaeyeon Lee may publish in the future.
Co-authorship network of co-authors of Jaeyeon Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jaeyeon Lee. A scholar is included among the top collaborators of Jaeyeon 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 Jaeyeon Lee. Jaeyeon 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | The Effect of Rapport and Exchange Relationships on Organizational Commitment in Beauty Industry Employees | 1 |
| 9 | 6 | |
| 10 | Balancing Domain Gap for Object Instance Detection | 1 |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 0 | |
| 15 | Isolation and Identification of a Bacillus sp. producing α-glucosidase Inhibitor 1-deoxynojirimycin. | 15 |
| 16 | 2 | |
| 17 | Gait Phases Detection from EMG and FSR Signals in Walkingamong Children | 1 |
| 18 | Multi-modal User Recognition based on Environmental Parameters | 1 |
| 19 | The Study of Preschool Teacher's Awareness on Child Abuse and Experience which Found out Abused Child | 1 |
| 20 | Antitumor and Immunopotentiating Effects of Manda Enzyme | 5 |
About Jaeyeon Lee
Jaeyeon Lee is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 72 papers that have together received 666 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (9 papers), Robot Manipulation and Learning (7 papers) and Robotic Path Planning Algorithms (7 papers). The work is most often cited by research in Human-Computer Interaction (179 citations), Computer Vision and Pattern Recognition (208 citations) and Control and Systems Engineering (149 citations). Jaeyeon Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Geehyuk Lee, Joo-Haeng Lee, Minsu Jang, Jaehong Kim, Youngwoo Yoon, Wooram Park, Seongkook Heo, Daniel Wigdor, Young‐Sam Cho and Yongdoo Park. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.
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.