Laehyun Kim

1.7k total citations
89 papers, 1.1k citations indexed

About

Laehyun Kim is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Cellular and Molecular Neuroscience. According to data from OpenAlex, Laehyun Kim has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cognitive Neuroscience, 20 papers in Human-Computer Interaction and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Laehyun Kim's work include EEG and Brain-Computer Interfaces (39 papers), Neuroscience and Neural Engineering (17 papers) and Gaze Tracking and Assistive Technology (9 papers). Laehyun Kim is often cited by papers focused on EEG and Brain-Computer Interfaces (39 papers), Neuroscience and Neural Engineering (17 papers) and Gaze Tracking and Assistive Technology (9 papers). Laehyun Kim collaborates with scholars based in South Korea, United States and Japan. Laehyun Kim's 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 and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Laehyun Kim

84 papers receiving 1.1k citations

Peers

Laehyun Kim
Comparison fields: 5 of 119
  • Cognitive Neuroscience 553
  • Biomedical Engineering 280
  • Human-Computer Interaction 209
  • Mechanical Engineering 143
  • Cellular and Molecular Neuroscience 134
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Emanuele Lindo Secco United Kingdom
Robert G. Radwin United States
Zhichuan Tang China
Sylvie Charbonnier France
Ehsan T. Esfahani United States
Xianta Jiang Canada
Maurizio Schmid Italy
David E. Thompson United States
Philippe Gorce France
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Citations per field, relative to Laehyun Kim
Laehyun Kim · 1×
Citations per year, relative to Laehyun Kim
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Countries citing papers authored by Laehyun Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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