Yu Hui Won

945 citations
63 papers · 511 · h-index 13

Impact in

    • Stroke Rehabilitation and Recovery
    • Transcranial Magnetic Stimulation Studies
    • Amyotrophic Lateral Sclerosis Research

Papers in

Yu Hui Won

54 papers receiving 503 citations

Peers

Yu Hui Won
Comparison fields: 5 of 83
  • Rehabilitation 96
  • Neurology 43
  • Neurology 57
  • Critical Care and Intensive Care Medicine 17
  • Speech and Hearing 20
Replace Gerda Vacariu with:
Gerda Vacariu Austria
Takeshi Nakamura Japan
Richard D. Wilson United States
Pierre Decavel France
Merel Jansen Netherlands
Li Khim Kwah Australia
Joanne V. Glinsky Australia
Hyacinth I. Hyacinth United States
A. Pizzi Italy
Jun Lee South Korea
Yu Hui Won relative to Gerda Vacariu Austria Gerda Vacariu's profile →
Citations per field
00.5×3.5×
Gerda Vacariu · 1×
Citations per year

Countries citing papers authored by Yu Hui Won

Since Specialization
Citations

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

Fields of papers citing papers by Yu Hui Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Hui Won. 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 Yu Hui Won. The network helps show where Yu Hui Won may publish in the future.

Co-authors

The 25 scholars most cited alongside Yu Hui Won, 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 Yu Hui Won Line = papers co-authored together Yu Hui Won links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201968
2 201632
3 201928
4 202028
5 202226
6 201723
7 201822
8 201621
9 201516
10 201515
11 202314
12 201913
13 201613
14 202011
15 201511
16 201810
17 20169
18 20229
19 20129
20 20158

About Yu Hui Won

Yu Hui Won is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Neurology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 63 papers that have together received 511 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (6 papers), Respiratory Support and Mechanisms (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Burn Injury Management and Outcomes (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Injury Epidemiology and Prevention (2 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Rehabilitation (96 citations), Neurology (43 citations), Neurology (57 citations), Critical Care and Intensive Care Medicine (17 citations) and Speech and Hearing (20 citations). Yu Hui Won has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Myoung-Hwan Ko, Sung-Hee Park, Jeong‐Hwan Seo, Gi-Wook Kim, Seong‐Woong Kang, Won Ah Choi, Sun Mi Kim, Young‐Bin Oh, Kap-Soo Han and Soo‐Wan Chae. Their work appears in journals such as Pain Research and Management, Journal of Burn Care & Research, Medicine, Archives of Physical Medicine and Rehabilitation and Annals of Rehabilitation 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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