Su Hwan Hwang
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 7
- Sleep and Wakefulness Research 5
- Neural dynamics and brain function 2
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep 5
-
- Heart Rate Variability and Autonomic Control 6
- ECG Monitoring and Analysis 2
- Physiology top 10%
- Obstructive Sleep Apnea Research 13
-
- Non-Invasive Vital Sign Monitoring 14
- Co-authors
- Kwang Suk ParkDa Woon JungYu Jin LeeDo‐Un JeongHong Ji LeeDo-Un JeongHeenam YoonWon‐Kyu Lee
- Cited by
- Cognitive NeuroscienceEndocrine and Autonomic SystemsCardiology and Cardiovascular Medicine
- Journals
- Journal of Applied Physics (1 paper)IEEE Transactions on Biomedical Engineering (5 papers)Sensors (1 paper)
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Su Hwan Hwang
27 papers receiving 567 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 181
- Endocrine and Autonomic Systems 62
- Cardiology and Cardiovascular Medicine 193
- Physiology 220
- Experimental and Cognitive Psychology 108
Countries citing papers authored by Su Hwan Hwang
This map shows the geographic impact of Su Hwan Hwang'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 Su Hwan Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Hwan Hwang more than expected).
Fields of papers citing papers by Su Hwan Hwang
This network shows the impact of papers produced by Su Hwan Hwang. 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 Su Hwan Hwang. The network helps show where Su Hwan Hwang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Su Hwan Hwang, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2017 | 12 | |
| 4 | 2017 | 25 | |
| 5 | 2017 | 19 | |
| 6 | 2016 | 4 | |
| 7 | 2016 | 11 | |
| 8 | 2016 | 36 | |
| 9 | 2016 | 14 | |
| 10 | 2015 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2015 | 53 | |
| 13 | 2014 | 59 | |
| 14 | 2014 | 14 | |
| 15 | 2014 | 1 | |
| 16 | Apnea Event Estimation During Sleep Using Polyvinylidene Fluoride Film | 2013 | 1 |
| 17 | 2013 | 47 | |
| 18 | 2011 | 47 | |
| 19 | 2010 | 17 | |
| 20 | 1997 | 1 |
About Su Hwan Hwang
Su Hwan Hwang is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Physiology, having authored 28 papers that have together received 579 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (14 papers), Obstructive Sleep Apnea Research (13 papers), EEG and Brain-Computer Interfaces (7 papers), Heart Rate Variability and Autonomic Control (6 papers), Neuroscience of respiration and sleep (5 papers), Sleep and Wakefulness Research (5 papers), ECG Monitoring and Analysis (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cognitive Neuroscience (181 citations), Endocrine and Autonomic Systems (62 citations) and Cardiology and Cardiovascular Medicine (193 citations). Su Hwan Hwang has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Kwang Suk Park, Da Woon Jung, Yu Jin Lee, Do‐Un Jeong, Hong Ji Lee, Do-Un Jeong, Heenam Yoon, Won‐Kyu Lee, Kwang Suk Park and Jae Hyuk Shin. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Biomedical Engineering and Sensors.
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.