Won-Kyung Song

670 citations
58 papers · 398 indexed · h-index 12
Topics
Stroke Rehabilitation and Recovery (32 papers)Prosthetics and Rehabilitation Robotics (14 papers)Muscle activation and electromyography studies (13 papers)

In The Last Decade

Won-Kyung Song

52 papers receiving 373 citations

Peers

Won-Kyung Song
Comparison fields: 5 of 63
  • Rehabilitation 202
  • Biomedical Engineering 146
  • Human-Computer Interaction 81
  • Neurology 65
  • Cognitive Neuroscience 57
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Urs Keller Switzerland
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Won-Kyung Song relative to Urs Keller Switzerland Urs Keller's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Won-Kyung Song

Since Specialization
Citations

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

Fields of papers citing papers by Won-Kyung Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won-Kyung Song. 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 Won-Kyung Song. The network helps show where Won-Kyung Song may publish in the future.

Co-authorship network of co-authors of Won-Kyung Song

This figure shows the co-authorship network connecting the top 25 collaborators of Won-Kyung Song. A scholar is included among the top collaborators of Won-Kyung Song 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 Won-Kyung Song. Won-Kyung Song 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
#WorkIndexed citations
1 0
2 5
3 0
4 5
5 4
6 0
7 1
8 13
9 3
10 1
11
Prospects of Rehabilitation Welfare Devices: Based on Assistive and Robotic Devices
3
12 3
13 1
14 54
15 14
16
Nerve Growth Factor Concentration and Implications in Photorefractive Keratectomy Versus Laser in Situ Keratomileusis
1
17 2
18
Development of an EMG-based Powered Wheelchair Controller for Users with High-level Spinal Cord Injury
4
19
A Study on the Enchancement of Manipulation Performance of Wheelchair-Mounted Rehabilitation Service Robot
3
20 37

About Won-Kyung Song

Won-Kyung Song is a scholar working on Rehabilitation, Human-Computer Interaction and Physical Therapy, Sports Therapy and Rehabilitation, having authored 58 papers that have together received 398 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (32 papers), Prosthetics and Rehabilitation Robotics (14 papers) and Muscle activation and electromyography studies (13 papers). The work is most often cited by research in Rehabilitation (202 citations), Human-Computer Interaction (81 citations) and Occupational Therapy (33 citations). Won-Kyung Song has collaborated with scholars based in South Korea, Bulgaria and United States. Frequent co-authors include Ki Hun Cho, Zeungnam Bien, Hwi-Young Lee, Heyoung Lee, Jong‐Bae Kim, Jeongsu Lee, Kyung Kim, Dae Sung Park, Jongbae Kim and Jong Sung Kim. Their work appears in journals such as Sensors, Archives of Physical Medicine and Rehabilitation and Fuzzy Sets and Systems.

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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