Sang-Goog Lee
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Human-Computer Interaction top 5%
- Co-authors
- David LeeJeong‐Do KimSang‐Woong YoonSanghoon SimChang-Ho LeeJ. LaskarEuisik YoonSongcheol Hong
- Topics
- EEG and Brain-Computer Interfaces (11 papers)Blind Source Separation Techniques (6 papers)Gaze Tracking and Assistive Technology (4 papers)
- Partner nations
- South KoreaUnited StatesBelgium
In The Last Decade
Sang-Goog Lee
24 papers receiving 311 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 237
- Cellular and Molecular Neuroscience 84
- Signal Processing 82
- Electrical and Electronic Engineering 78
- Human-Computer Interaction 77
Countries citing papers authored by Sang-Goog Lee
This map shows the geographic impact of Sang-Goog 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 Sang-Goog Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang-Goog Lee more than expected).
Fields of papers citing papers by Sang-Goog Lee
This network shows the impact of papers produced by Sang-Goog 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 Sang-Goog Lee. The network helps show where Sang-Goog Lee may publish in the future.
Co-authorship network of co-authors of Sang-Goog Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Goog Lee. A scholar is included among the top collaborators of Sang-Goog 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 Sang-Goog Lee. Sang-Goog 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 | 10 | |
| 2 | 29 | |
| 3 | 33 | |
| 4 | 18 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | The Health-Care Garment System using Digital Yarn and Pulse and Respiratory Senor using PVDF Film | 2 |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | A 3-D Vision Sensor Implementation on Multiple DSPs TMS320C31 | 1 |
About Sang-Goog Lee
Sang-Goog Lee is a scholar working on Human-Computer Interaction, Signal Processing and Cognitive Neuroscience, having authored 28 papers that have together received 322 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Blind Source Separation Techniques (6 papers) and Gaze Tracking and Assistive Technology (4 papers). The work is most often cited by research in Human-Computer Interaction (77 citations), Cognitive Neuroscience (237 citations) and Signal Processing (82 citations). Sang-Goog Lee has collaborated with scholars based in South Korea, United States and Belgium. Frequent co-authors include David Lee, Jeong‐Do Kim, Sang‐Woong Yoon, Sanghoon Sim, Chang-Ho Lee, J. Laskar, Euisik Yoon, Songcheol Hong, Hyung‐Gi Byun and Woo Seok Yang. Their work appears in journals such as Sensors, Sensors and Actuators A Physical and Electronics Letters.
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.