Kwang Su

529 total citations
31 papers, 361 citations indexed

About

Kwang Su is a scholar working on Cognitive Neuroscience, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Kwang Su has authored 31 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 9 papers in Neurology and 8 papers in Psychiatry and Mental health. Recurrent topics in Kwang Su's work include Sleep and Wakefulness Research (15 papers), EEG and Brain-Computer Interfaces (11 papers) and Functional Brain Connectivity Studies (7 papers). Kwang Su is often cited by papers focused on Sleep and Wakefulness Research (15 papers), EEG and Brain-Computer Interfaces (11 papers) and Functional Brain Connectivity Studies (7 papers). Kwang Su collaborates with scholars based in South Korea, United States and Puerto Rico. Kwang Su's co-authors include Ki‐Young Jung, Jung‐Ick Byun, Jun‐Sang Sunwoo, Kyung Hwan Kim, Tae‐Joon Kim, Sang Kun Lee, Jeong Woo Choi, Kon Chu, Keun‐Hwa Jung and Soon‐Tae Lee and has published in prestigious journals such as Scientific Reports, Brain Research and CHEST Journal.

In The Last Decade

Kwang Su

28 papers receiving 357 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kwang Su South Korea 12 245 124 96 87 47 31 361
Claudia Cacciari Italy 11 144 0.6× 77 0.6× 35 0.4× 57 0.7× 126 2.7× 13 395
Miriam Wienecke Germany 10 147 0.6× 237 1.9× 87 0.9× 57 0.7× 15 0.3× 14 336
Giulia Carli Italy 13 225 0.9× 214 1.7× 47 0.5× 62 0.7× 74 1.6× 45 485
Evi Holzknecht Austria 10 140 0.6× 132 1.1× 128 1.3× 62 0.7× 10 0.2× 26 249
Еlena I. Kremneva Russia 11 131 0.5× 99 0.8× 94 1.0× 28 0.3× 75 1.6× 88 407
Jari Peräkylä Finland 12 246 1.0× 59 0.5× 38 0.4× 42 0.5× 57 1.2× 16 387
Noboru Takeuchi Japan 8 230 0.9× 116 0.9× 138 1.4× 121 1.4× 31 0.7× 16 294
Jakub Antczak Poland 9 110 0.4× 67 0.5× 36 0.4× 41 0.5× 28 0.6× 30 219
Masaoki Iwanami Japan 14 269 1.1× 503 4.1× 314 3.3× 84 1.0× 35 0.7× 19 647

Countries citing papers authored by Kwang Su

Since Specialization
Citations

This map shows the geographic impact of Kwang Su'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 Kwang Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwang Su more than expected).

Fields of papers citing papers by Kwang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwang Su. 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 Kwang Su. The network helps show where Kwang Su may publish in the future.

Co-authorship network of co-authors of Kwang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Kwang Su. A scholar is included among the top collaborators of Kwang Su 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 Kwang Su. Kwang Su 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
1.
Su, Kwang, Bongseog Kim, Jun‐Young Lee, & Hanik K. Yoo. (2025). Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach. Frontiers in Psychiatry. 16. 1574615–1574615.
3.
Cho, Younghoon, Kwang Su, Jinhwan Jung, et al.. (2023). Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study. JMIR mhealth and uhealth. 11. e50983–e50983. 43 indexed citations
4.
Sunwoo, Jun‐Sang, et al.. (2023). Characterization of attentional event-related potential from REM sleep behavior disorder patients based on explainable machine learning. Computer Methods and Programs in Biomedicine. 234. 107496–107496. 5 indexed citations
5.
Byun, Jung‐Ick, Kyoung Jin Hwang, Yu Jin Jung, et al.. (2022). Comparative efficacy of prolonged-release melatonin versus clonazepam for isolated rapid eye movement sleep behavior disorder. Sleep And Breathing. 27(1). 309–318. 10 indexed citations
6.
Byun, Jung‐Ick, Kwang Su, Minah Kim, et al.. (2021). Altered insular functional connectivity in isolated REM sleep behavior disorder: a data-driven functional MRI study. Sleep Medicine. 79. 88–93. 13 indexed citations
7.
Su, Kwang, Hye‐Rim Shin, Jin‐Sun Jun, et al.. (2021). Alerting network alteration in isolated rapid eye movement sleep behavior disorder patients with mild cognitive impairment. Sleep Medicine. 89. 10–18. 8 indexed citations
8.
Byun, Jung‐Ick, Kwang Su, Ji Eun Jun, et al.. (2020). Dynamic changes in nocturnal blood glucose levels are associated with sleep-related features in patients with obstructive sleep apnea. Scientific Reports. 10(1). 17877–17877. 13 indexed citations
9.
Kim, Tae‐Joon, Kwang Su, Sang-Hun Lee, et al.. (2020). Brain regions associated with periodic leg movements during sleep in restless legs syndrome. Scientific Reports. 10(1). 1615–1615. 10 indexed citations
10.
Byun, Jung‐Ick, Hyunwoo Kim, Hyejin Kang, et al.. (2020). Altered resting-state thalamo-occipital functional connectivity is associated with cognition in isolated rapid eye movement sleep behavior disorder. Sleep Medicine. 69. 198–203. 48 indexed citations
11.
Kim, Tae‐Joon, Kwang Su, Jin‐Sun Jun, et al.. (2020). Effects of perampanel on cognition and quantitative electroencephalography in patients with epilepsy. Epilepsy & Behavior. 115. 107514–107514. 16 indexed citations
12.
Sunwoo, Jun‐Sang, Kwang Su, & Ki‐Young Jung. (2020). Computational electroencephalography analysis for characterizing brain networks. 22(2). 82–91. 1 indexed citations
13.
Su, Kwang, Jeong Woo Choi, Jung‐Ick Byun, et al.. (2019). Impaired visuospatial attention revealed by theta- and beta-band cortical activities in idiopathic REM sleep behavior disorder patients. Clinical Neurophysiology. 130(10). 1962–1970. 6 indexed citations
14.
Su, Kwang, Tae‐Joon Kim, Jin‐Sun Jun, et al.. (2019). Impaired slow oscillation, sleep spindle, and slow oscillation−spindle coordination in patients with idiopathic restless legs syndrome. Sleep Medicine. 66. 139–147. 10 indexed citations
15.
Choi, Jeong Woo, Kwang Su, Ki‐Young Jung, & Kyung Hwan Kim. (2017). Gamma-band neural synchrony due to autobiographical fact violation in a self-referential question. Brain Research. 1662. 39–45. 6 indexed citations
16.
Sunwoo, Jun‐Sang, Sang‐Hun Lee, Jung‐Hoon Kim, et al.. (2017). Altered Functional Connectivity in Idiopathic Rapid Eye Movement Sleep Behavior Disorder: A Resting-State EEG Study. SLEEP. 40(6). 32 indexed citations
17.
Byun, Jung‐Ick, Minah Kim, Jun‐Sang Sunwoo, et al.. (2017). Reduced P300 amplitude during a visuospatial attention task in idiopathic rapid eye movement sleep behavior disorder. Sleep Medicine. 38. 78–84. 13 indexed citations
18.
Sunwoo, Jun‐Sang, Sang‐Hun Lee, Kwang Su, et al.. (2017). Differential Effect of Light Emitting Diode Light on Electroencephalographic Oscillations in Young and Old Healthy Subjects. 14(2). 61–69. 2 indexed citations
19.
Su, Kwang, Jeong Woo Choi, Ki‐Young Jung, & Kyung Hwan Kim. (2017). Frontal dysfunction in patients with restless legs syndrome performing a visual oddball task: an event-related potential source imaging study. Sleep Medicine. 36. 48–54. 9 indexed citations
20.
Choi, Jeong Woo, et al.. (2015). Difficulty-related changes in inter-regional neural synchrony are dissociated between target and non-target processing. Brain Research. 1603. 114–123. 4 indexed citations

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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