Chang‐Ryeol Lee

403 citations
15 papers · 292 · h-index 8

Impact in

Papers in

Chang‐Ryeol Lee

15 papers receiving 280 citations

Peers

Chang‐Ryeol Lee
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 186
  • Rehabilitation 27
  • Automotive Engineering 34
  • Safety, Risk, Reliability and Quality 22
  • Orthopedics and Sports Medicine 18
Replace Ismail Mohd Khairuddin with:
Ismail Mohd Khairuddin Malaysia
Rosdiyana Samad Malaysia
João Paulo Portugal
Shih-Han Chou Taiwan
Lifu Gao China
Yiru Wang United States
Teng Ran China
Lucia Migliorelli Italy
Sheikh Badar ud din Tahir Pakistan
Chang‐Ryeol Lee relative to Ismail Mohd Khairuddin Malaysia Ismail Mohd Khairuddin's profile →
Citations per field
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Ismail Mohd Khairuddin · 1×
Citations per year

Countries citing papers authored by Chang‐Ryeol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Ryeol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Ryeol Lee. 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 Chang‐Ryeol Lee. The network helps show where Chang‐Ryeol Lee may publish in the future.

Co-authors

The 9 scholars most cited alongside Chang‐Ryeol Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chang‐Ryeol Lee Line = papers co-authored together Chang‐Ryeol Lee links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2016136
2 201832
3 201429
4 201718
5 201216
6 201416
7 201415
8 20129
9 20186
10 20126
11 20133
12 20192
13 20142
14
The Effect of Modified CIMT Combined with Kinesio-Taping on Upper Limb Function in Hemiplegic Patients
20091
15 20151

About Chang‐Ryeol Lee

Chang‐Ryeol Lee is a scholar working on Computer Vision and Pattern Recognition, Orthopedics and Sports Medicine, Biomedical Engineering, Surgery and Pathology and Forensic Medicine, having authored 15 papers that have together received 292 indexed citations. Recurring topics across this work include Lower Extremity Biomechanics and Pathologies (4 papers), Foot and Ankle Surgery (3 papers), Optical measurement and interference techniques (2 papers), Human Pose and Action Recognition (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Vision and Imaging (2 papers), Video Surveillance and Tracking Methods (2 papers) and Stroke Rehabilitation and Recovery (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (186 citations), Rehabilitation (27 citations), Automotive Engineering (34 citations), Safety, Risk, Reliability and Quality (22 citations) and Orthopedics and Sports Medicine (18 citations). Chang‐Ryeol Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kuk‐Jin Yoon, Ju Hong Yoon, Ming–Hsuan Yang, Myoung-Kwon Kim, Hyun-Gyu Cha, Mi Suk Cho, Misuk Cho, So Hyun Park and Sang Jin Kim. Their work appears in journals such as International Journal of Computer Vision, IET Intelligent Transport Systems, Sensors, Journal of Physical Therapy Science and Journal of the Korean Society of Physical Medicine.

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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