Yu Hui Won

896 citations
61 papers · 488 · h-index 13

Impact in

    • Stroke Rehabilitation and Recovery
    • Transcranial Magnetic Stimulation Studies
    • Botulinum Toxin and Related Neurological Disorders

Papers in

Yu Hui Won

54 papers receiving 480 citations

Peers

Yu Hui Won
Comparison fields: 5 of 84
  • Rehabilitation 121
  • Neurology 58
  • Neurology 78
  • Critical Care and Intensive Care Medicine 24
  • Orthopedics and Sports Medicine 37
Replace Gerda Vacariu with:
Gerda Vacariu Austria
Emre Adıgüzel Türkiye
Takeshi Nakamura Japan
Bernardo Gialanella Italy
Pierre Decavel France
Gustavo José Luvizutto Brazil
Gülçin Kaymak Karataş Türkiye
Jan T. Groothuis Netherlands
Yuan‐Yang Cheng Taiwan
Hee Suk Shin South Korea
Yu Hui Won relative to Gerda Vacariu Austria Gerda Vacariu's profile →
Citations per field
00.5×2.6×
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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201964
2 201631
3 201928
4 202028
5 201723
6 202223
7 201621
8 201820
9 201516
10 201515
11 201913
12 202312
13 201612
14 201511
15 201810
16 20169
17 20229
18 20209
19 20218
20 20128

About Yu Hui Won

Yu Hui Won is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Rehabilitation and Pharmacology, having authored 61 papers that have together received 488 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (9 papers), Stroke Rehabilitation and Recovery (8 papers), Transcranial Magnetic Stimulation Studies (6 papers), Musculoskeletal pain and rehabilitation (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Cerebral Palsy and Movement Disorders (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). The work is most often cited by research in Rehabilitation (121 citations), Neurology (58 citations), Neurology (78 citations), Critical Care and Intensive Care Medicine (24 citations) and Orthopedics and Sports Medicine (37 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, Kap-Soo Han, Young‐Bin Oh and Jang Woo Lee. 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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