Laehyun Kim
- Cognitive Neuroscience top 5%
- Biomedical Engineering top 10%
- Human-Computer Interaction top 2%
- Mechanical Engineering
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Wanjoo ParkGyu Hyun KwonYun‐Hee KimSangin ParkMathieu DesbrunGaurav S. SukhatmeChang‐Hwan ImSehyung Park
- Topics
- EEG and Brain-Computer Interfaces (39 papers)Neuroscience and Neural Engineering (17 papers)Gaze Tracking and Assistive Technology (9 papers)
- Journals
- PLoS ONENeuroImageScientific Reports
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Laehyun Kim
84 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 553
- Biomedical Engineering 280
- Human-Computer Interaction 209
- Mechanical Engineering 143
- Cellular and Molecular Neuroscience 134
Countries citing papers authored by Laehyun Kim
This map shows the geographic impact of Laehyun Kim'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 Laehyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laehyun Kim more than expected).
Fields of papers citing papers by Laehyun Kim
This network shows the impact of papers produced by Laehyun Kim. 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 Laehyun Kim. The network helps show where Laehyun Kim may publish in the future.
Co-authorship network of co-authors of Laehyun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Laehyun Kim. A scholar is included among the top collaborators of Laehyun Kim 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 Laehyun Kim. Laehyun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 17 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 13 | |
| 13 | 48 | |
| 14 | 71 | |
| 15 | 4 | |
| 16 | A neural analysis on motor imagery and passive movement using a haptic device | 7 |
| 17 | Computing user reputation in a social network of web 2.0 | 10 |
| 18 | 3 | |
| 19 | Improvement of An Electronic Aid for the Blind using Ultrasonic and Acceleration Sensors | 0 |
| 20 | An Efficient Virtual Teeth Modeling for Dental Training System | 1 |
About Laehyun Kim
Laehyun Kim is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Rehabilitation, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (39 papers), Neuroscience and Neural Engineering (17 papers) and Gaze Tracking and Assistive Technology (9 papers). The work is most often cited by research in Human-Computer Interaction (209 citations), Cognitive Neuroscience (553 citations) and Rehabilitation (91 citations). Laehyun Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Wanjoo Park, Gyu Hyun Kwon, Yun‐Hee Kim, Sangin Park, Mathieu Desbrun, Gaurav S. Sukhatme, Chang‐Hwan Im, Sehyung Park, Jong‐Hwan Lee and Cho Hyun-Chul. Their work appears in journals such as PLoS ONE, NeuroImage and Scientific Reports.
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.