Yong‐Ku Kong

1.3k citations
75 papers · 889 indexed · h-index 17
Topics
Ergonomics and Musculoskeletal Disorders (47 papers)Muscle activation and electromyography studies (32 papers)Musculoskeletal pain and rehabilitation (24 papers)

In The Last Decade

Yong‐Ku Kong

65 papers receiving 793 citations

Peers

Yong‐Ku Kong
Comparison fields: 5 of 96
  • Social Psychology 471
  • Pharmacology 379
  • Biomedical Engineering 353
  • Cognitive Neuroscience 219
  • Medical Laboratory Technology 110
Replace Danuta Roman-Liu with:
Danuta Roman-Liu Poland
Nicolas Vignais France
Jeong Ho Kim United States
Göran M Hägg Sweden
James A. Foulke United States
Gwanseob Shin South Korea
Hakim Mecheri Canada
Xiaopeng Ning United States
Sudhakar Rajulu United States
Michael J. Jorgensen United States
Yong‐Ku Kong relative to Danuta Roman-Liu Poland Danuta Roman-Liu's profile →
Citations per field
00.5×1.6×
Danuta Roman-Liu · 1×
Citations per year

Countries citing papers authored by Yong‐Ku Kong

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Ku Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Ku Kong. 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 Yong‐Ku Kong. The network helps show where Yong‐Ku Kong may publish in the future.

Co-authorship network of co-authors of Yong‐Ku Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Ku Kong. A scholar is included among the top collaborators of Yong‐Ku Kong 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 Yong‐Ku Kong. Yong‐Ku Kong 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 13
3 18
4 3
5 0
6 3
7 2
8 1
9 6
10 3
11 2
12 18
13
Biomechanical analysis of grip span and tendon force ratio to grip strength in cadaver-arm experiment
0
14 11
15 4
16 51
17 25
18 10
19
Effects of the Syllable Number, Font Type, Color Contrast, Display Type, Letter Size and Age Group on the Legibility of the Korean Characters
5
20 35

About Yong‐Ku Kong

Yong‐Ku Kong is a scholar working on Medical Laboratory Technology, Social Psychology and Pharmacology, having authored 75 papers that have together received 889 indexed citations. Recurring topics across this work include Ergonomics and Musculoskeletal Disorders (47 papers), Muscle activation and electromyography studies (32 papers) and Musculoskeletal pain and rehabilitation (24 papers). The work is most often cited by research in Medical Laboratory Technology (110 citations), Social Psychology (471 citations) and Pharmacology (379 citations). Yong‐Ku Kong has collaborated with scholars based in South Korea, United States and Jordan. Frequent co-authors include Brian D. Lowe, Myung‐Chul Jung, Soo‐Jin Lee, Kyung‐Sun Lee, Jaejin Hwang, Sangsoo Park, Andris Freivalds, Inseok Lee, Ming‐Lun Lu and Jeong Ho Kim. Their work appears in journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Ergonomics.

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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