Minki Sin

615 total citations · 1 hit paper
10 papers, 478 citations indexed

About

Minki Sin is a scholar working on Rehabilitation, Biomedical Engineering and Neurology. According to data from OpenAlex, Minki Sin has authored 10 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rehabilitation, 7 papers in Biomedical Engineering and 6 papers in Neurology. Recurrent topics in Minki Sin's work include Stroke Rehabilitation and Recovery (7 papers), Botulinum Toxin and Related Neurological Disorders (6 papers) and Muscle activation and electromyography studies (4 papers). Minki Sin is often cited by papers focused on Stroke Rehabilitation and Recovery (7 papers), Botulinum Toxin and Related Neurological Disorders (6 papers) and Muscle activation and electromyography studies (4 papers). Minki Sin collaborates with scholars based in South Korea, Puerto Rico and Ethiopia. Minki Sin's co-authors include Kyu‐Jin Cho, Hyunki In, Brian Byunghyun Kang, Dae‐Young Lee, Gwang-Pil Jung, Sung‐Hoon Ahn, Nam‐Jong Paik, Won‐Seok Kim, Yu-Sun Min and Daegeun Park and has published in prestigious journals such as Sensors, Journal of Visualized Experiments and Journal of Electromyography and Kinesiology.

In The Last Decade

Minki Sin

10 papers receiving 471 citations

Hit Papers

Exo-Glove: A Wearable Robot for the Hand with a Soft Tend... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Minki Sin South Korea 6 392 176 109 107 60 10 478
Maxwell Herman United States 5 337 0.9× 144 0.8× 60 0.6× 102 1.0× 37 0.6× 8 396
Haemin Lee South Korea 7 371 0.9× 165 0.9× 57 0.5× 108 1.0× 47 0.8× 10 422
Tommaso Proietti United States 10 495 1.3× 350 2.0× 61 0.6× 50 0.5× 94 1.6× 18 619
Hyunki In South Korea 13 751 1.9× 355 2.0× 128 1.2× 223 2.1× 124 2.1× 24 852
Lucas Gerez New Zealand 11 359 0.9× 90 0.5× 98 0.9× 133 1.2× 50 0.8× 34 423
Rachael Granberry United States 11 459 1.2× 117 0.7× 173 1.6× 55 0.5× 94 1.6× 20 590
Simone Pittaccio Italy 11 230 0.6× 83 0.5× 84 0.8× 41 0.4× 56 0.9× 39 643
Ciaran O’Neill United States 10 711 1.8× 171 1.0× 212 1.9× 94 0.9× 41 0.7× 14 834
Seokhwan Jeong South Korea 12 378 1.0× 105 0.6× 55 0.5× 103 1.0× 20 0.3× 28 473
Masahiro TAKAIWA Japan 15 878 2.2× 288 1.6× 228 2.1× 251 2.3× 75 1.3× 98 1.1k

Countries citing papers authored by Minki Sin

Since Specialization
Citations

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

Fields of papers citing papers by Minki Sin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minki Sin

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

All Works

10 of 10 papers shown
1.
Sin, Minki, et al.. (2023). Development of a Real-Time 6-DOF Motion-Tracking System for Robotic Computer-Assisted Implant Surgery. Sensors. 23(5). 2450–2450. 12 indexed citations
2.
Kim, Jonghyun, Minki Sin, Won‐Seok Kim, et al.. (2020). Remote Assessment of Post-Stroke Elbow Function Using Internet-Based Telerobotics: A Proof-of-Concept Study. Frontiers in Neurology. 11. 583101–583101. 11 indexed citations
3.
Sin, Minki, Won‐Seok Kim, Kyu‐Jin Cho, & Nam‐Jong Paik. (2019). Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity. Journal of Visualized Experiments. 1 indexed citations
4.
Sin, Minki, Won‐Seok Kim, Kyu‐Jin Cho, & Nam‐Jong Paik. (2019). Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity. Journal of Visualized Experiments. 4 indexed citations
5.
Sin, Minki, Won‐Seok Kim, Kyu‐Jin Cho, Sung Min Cho, & Nam‐Jong Paik. (2018). Improving the test-retest and inter-rater reliability for stretch reflex measurements using an isokinetic device in stroke patients with mild to moderate elbow spasticity. Journal of Electromyography and Kinesiology. 39. 120–127. 13 indexed citations
7.
In, Hyunki, Brian Byunghyun Kang, Minki Sin, & Kyu‐Jin Cho. (2015). Exo-Glove: A Wearable Robot for the Hand with a Soft Tendon Routing System. IEEE Robotics & Automation Magazine. 22(1). 97–105. 353 indexed citations breakdown →
8.
Sin, Minki, Won‐Seok Kim, Daegeun Park, et al.. (2013). Electromyographic analysis of upper limb muscles during standardized isotonic and isokinetic robotic exercise of spastic elbow in patients with stroke. Journal of Electromyography and Kinesiology. 24(1). 11–17. 18 indexed citations
9.
Lee, Dae‐Young, Gwang-Pil Jung, Minki Sin, Sung‐Hoon Ahn, & Kyu‐Jin Cho. (2013). Deformable wheel robot based on origami structure. 5612–5617. 60 indexed citations
10.
Sin, Minki, et al.. (2011). Comparison and evaluation of robotic strength rehabilitation algorithms: Isokinetic, isotonic and shared control method. 438–441. 5 indexed citations

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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