Inseung Kang

1.4k citations
28 papers · 918 indexed · 1 hit paper · h-index 13
Topics
Prosthetics and Rehabilitation Robotics (24 papers)Muscle activation and electromyography studies (19 papers)Stroke Rehabilitation and Recovery (18 papers)

In The Last Decade

Inseung Kang

26 papers receiving 911 citations

Hit Papers

The exoskeleton expansion: improving walking and running ...2020202620222024202050100150200250

Peers

Inseung Kang
Comparison fields: 5 of 56
  • Biomedical Engineering 840
  • Rehabilitation 387
  • Physical Therapy, Sports Therapy and Rehabilitation 175
  • Psychiatry and Mental health 73
  • Surgery 55
Replace Andrea Parri with:
Andrea Parri Italy
Katherine L. Poggensee United States
Youngbo Shim South Korea
Kirby Ann Witte United States
Erik C. Prinsen Netherlands
Joana Figueiredo Portugal
Kyoungchul Kong South Korea
Rachel W. Jackson United States
Joost Geeroms Belgium
Paul Stegall United States
Inseung Kang relative to Andrea Parri Italy Andrea Parri's profile →
Citations per field
00.5×1.5×2.4×
Andrea Parri · 1×
Citations per year

Countries citing papers authored by Inseung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Inseung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inseung Kang. 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 Inseung Kang. The network helps show where Inseung Kang may publish in the future.

Co-authorship network of co-authors of Inseung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Inseung Kang. A scholar is included among the top collaborators of Inseung Kang 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 Inseung Kang. Inseung Kang 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 5
2 0
3 1
4 45
5 18
6 1
7 51
8 22
9 29
10 99
11 34
12
The exoskeleton expansion: improving walking and running economybreakdown →
266
13 9
14 16
15 27
16 5
17 97
18 125
19 10
20 1

About Inseung Kang

Inseung Kang is a scholar working on Rehabilitation, Physical Therapy, Sports Therapy and Rehabilitation and Biomedical Engineering, having authored 28 papers that have together received 918 indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (24 papers), Muscle activation and electromyography studies (19 papers) and Stroke Rehabilitation and Recovery (18 papers). The work is most often cited by research in Rehabilitation (387 citations), Physical Therapy, Sports Therapy and Rehabilitation (175 citations) and Biomedical Engineering (840 citations). Inseung Kang has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Aaron J. Young, Gregory S. Sawicki, Pratik Kunapuli, Owen N. Beck, Dean D. Molinaro, Yanrong Chen, Jonathan Camargo, Matthew Gombolay, Kinsey Herrin and Anirban Mazumdar. Their work appears in journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Robotics.

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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