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Sang-Myung Cheon
ResearcherPublications, citations & collaboration network
Sang-Myung Cheon is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 11 works, 18 citations, an h-index of 2 and an i10-index of 0.
11
Works
18
Citations
2
h-index
0
i10-index
IDs:OpenAlex
How has Sang-Myung Cheon's publication output changed over time?
ScholarIQpublication output · 2014–2026
Output grew200% over the shown period — from 1 works in 2014 to 3 in 2026.
1
6
3
201420252026
What are the most-cited papers on Sang-Myung Cheon?
ScholarIQmost cited works
Development of the Korean Version of the Sleep Apnea Quality of Life Index
Hyun-Uk Jang, Ki-Soo Park, Sang-Myung Cheon, Ho‐Won Lee, Sung Wan Kim, Seung Hoon Lee, Jung-Soo Kim
S172772906. 20147 CitationsOPEN ACCESS
Comparison of the Impact of Various Exercise Modalities on Parkinson’s Disease
Jinse Park, Sang-Myung Cheon, Myung Jun Lee, Dong-Woo Ryu, Dallah Yoo
S2736308301. 20256 CitationsOPEN ACCESS
Factors Associated With the Response to Exercise in Patients With Parkinson’s Disease
Myung Jun Lee, Jinse Park, Dong-Woo Ryu, Dallah Yoo, Sang-Myung Cheon
S2736308301. 20252 CitationsOPEN ACCESS
Discrepancies between patient and caregiver reports of daily living abilities in Parkinson's disease
Bora Jin, Sang-Myung Cheon
Journal of Parkinson s Disease. 20252 CitationsOPEN ACCESS
Machine learning classification of early-stage Parkinson’s disease using sit-to-walk biomechanical features
Minsoo Kim, Changhong Youm, Hwayoung Park, Bohyeon Kim, Hyejin Choi, Juseon Hwang, Sang-Myung Cheon
Scientific Reports. 20261 CitationsOPEN ACCESS
Related on ScholarIQ
Dong-A University
Institution
Development of the Korean Version of the Sleep Apnea Quality of Life Index
Paper
Comparison of the Impact of Various Exercise Modalities on Parkinson’s Disease
Paper
Factors Associated With the Response to Exercise in Patients With Parkinson’s Disease
Paper
Discrepancies between patient and caregiver reports of daily living abilities in Parkinson's disease
Paper
Machine learning classification of early-stage Parkinson’s disease using sit-to-walk biomechanical features
Paper