Gwang Min Gu

21 total papers · 663 total citations
15 papers, 481 citations indexed

About

Gwang Min Gu is a scholar working on Biomedical Engineering, Rehabilitation and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gwang Min Gu has authored 15 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 4 papers in Rehabilitation and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gwang Min Gu's work include Muscle activation and electromyography studies (12 papers), Prosthetics and Rehabilitation Robotics (10 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Gwang Min Gu is often cited by papers focused on Muscle activation and electromyography studies (12 papers), Prosthetics and Rehabilitation Robotics (10 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Gwang Min Gu collaborates with scholars based in South Korea and United States. Gwang Min Gu's co-authors include Jung Kim, Soojin Lee, Kyehan Rhee, Pilwon Heo, Dae-Sung Park, Junghoon Park, Sangjoon J. Kim, Yeongjin Kim, Youngjin Na and Pyung Hun Chang and has published in prestigious journals such as Sensors and Actuators A Physical, IEEE/ASME Transactions on Mechatronics and International Journal of Precision Engineering and Manufacturing.

In The Last Decade

Gwang Min Gu

15 papers receiving 459 citations

Hit Papers

Current hand exoskeleton ... 2012 2026 2016 2021 2012 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gwang Min Gu 392 243 101 58 51 15 481
Pilwon Heo 362 0.9× 269 1.1× 113 1.1× 61 1.1× 53 1.0× 9 451
Feiyun Xiao 342 0.9× 131 0.5× 125 1.2× 58 1.0× 28 0.5× 34 512
Michael J. Fu 231 0.6× 131 0.5× 127 1.3× 33 0.6× 36 0.7× 26 519
Kostas Nizamis 242 0.6× 178 0.7× 80 0.8× 36 0.6× 40 0.8× 28 424
Tobias Bützer 360 0.9× 264 1.1× 61 0.6× 64 1.1× 62 1.2× 10 468
David Cioncoloni 137 0.3× 129 0.5× 95 0.9× 45 0.8× 90 1.8× 22 411
Ismail Ben Abdallah 266 0.7× 192 0.8× 96 1.0× 49 0.8× 21 0.4× 37 471
Mark Sivak 234 0.6× 131 0.5× 87 0.9× 23 0.4× 80 1.6× 19 503
Shin-ichiroh Yamamoto 368 0.9× 105 0.4× 105 1.0× 22 0.4× 13 0.3× 20 493
Marco Caimmi 211 0.5× 301 1.2× 114 1.1× 67 1.2× 121 2.4× 32 510

Countries citing papers authored by Gwang Min Gu

Since Specialization
Citations

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

Fields of papers citing papers by Gwang Min Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gwang Min Gu. 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 Gwang Min Gu. The network helps show where Gwang Min Gu may publish in the future.

Co-authorship network of co-authors of Gwang Min Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Gwang Min Gu. A scholar is included among the top collaborators of Gwang Min Gu 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 Gwang Min Gu. Gwang Min Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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