Jae-Hwan Kang
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 14
- Neural dynamics and brain function 12
- Functional Brain Connectivity Studies 4
- Memory and Neural Mechanisms 2
- Signal Processing top 10%
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- ECG Monitoring and Analysis 2
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- Traditional Chinese Medicine Studies 3
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- Neuroscience and Neural Engineering 2
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- User Authentication and Security Systems 2
- Co-authors
- Sung-Phil KimYoon Gi ChungHyun Taek KimJi Woon JeongChungho LeeIan OakleySe Young ChunEunjin Hwang
- Partner nations
- South KoreaUnited StatesNorway
In The Last Decade
Jae-Hwan Kang
23 papers receiving 270 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 220
- Signal Processing 58
- Human-Computer Interaction 17
- Experimental and Cognitive Psychology 36
- Cardiology and Cardiovascular Medicine 51
Countries citing papers authored by Jae-Hwan Kang
This map shows the geographic impact of Jae-Hwan Kang'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 Jae-Hwan Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Hwan Kang more than expected).
Fields of papers citing papers by Jae-Hwan Kang
This network shows the impact of papers produced by Jae-Hwan Kang. 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 Jae-Hwan Kang. The network helps show where Jae-Hwan Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jae-Hwan Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 6 | |
| 7 | 2019 | 1 | |
| 8 | 2018 | 32 | |
| 9 | 2017 | 1 | |
| 10 | 2016 | 2 | |
| 11 | 2015 | 48 | |
| 12 | 2015 | 17 | |
| 13 | 2014 | 20 | |
| 14 | A neural analysis on motor imagery and passive movement using a haptic device | 2012 | 7 |
| 15 | 2012 | 16 | |
| 16 | 2012 | 6 | |
| 17 | 2012 | 17 | |
| 18 | 2012 | 21 | |
| 19 | Voice Classification Algorithm for Sasang Constitution Using Support Vector Machine | 2010 | 2 |
| 20 | Automated Speech Analysis Applied to Sasang Constitution Classification | 2009 | 2 |
About Jae-Hwan Kang
Jae-Hwan Kang is a scholar working on Cognitive Neuroscience, Complementary and alternative medicine and Sensory Systems, having authored 25 papers that have together received 276 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (4 papers), Traditional Chinese Medicine Studies (3 papers), ECG Monitoring and Analysis (2 papers), Memory and Neural Mechanisms (2 papers), Neuroscience and Neural Engineering (2 papers) and User Authentication and Security Systems (2 papers). The work is most often cited by research in Cognitive Neuroscience (220 citations), Signal Processing (58 citations) and Human-Computer Interaction (17 citations). Jae-Hwan Kang has collaborated with scholars based in South Korea, United States and Norway. Frequent co-authors include Sung-Phil Kim, Yoon Gi Chung, Hyun Taek Kim, Ji Woon Jeong, Chungho Lee, Ian Oakley, Sung-Phil Kim, Se Young Chun, Eunjin Hwang and Jee Hyun Choi. Their work appears in journals such as PLoS ONE, Sensors and Neuroreport.
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.