Shin‐Min Song
- Biomedical Engineering top 5%
- Control and Systems Engineering top 1%
- Mechanical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Civil and Structural Engineering top 5%
- Co-authors
- Kenneth J. WaldronLi‐Shan ChouMing ZhangVincent J. VohnoutYueh‐Jaw LinG. L. KinzelLouis F. DraganichGary L. Kinzel
- Topics
- Robotic Locomotion and Control (23 papers)Robotic Mechanisms and Dynamics (20 papers)Soil Mechanics and Vehicle Dynamics (9 papers)
- Cited by
- Control and Systems EngineeringBiomedical EngineeringComputer Vision and Pattern Recognition
- Journals
- Journal of BiomechanicsThe International Journal of Robotics ResearchMathematical Biosciences
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Shin‐Min Song
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Biomedical Engineering 935
- Control and Systems Engineering 807
- Mechanical Engineering 319
- Computer Vision and Pattern Recognition 190
- Civil and Structural Engineering 170
Countries citing papers authored by Shin‐Min Song
This map shows the geographic impact of Shin‐Min Song'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 Shin‐Min Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin‐Min Song more than expected).
Fields of papers citing papers by Shin‐Min Song
This network shows the impact of papers produced by Shin‐Min Song. 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 Shin‐Min Song. The network helps show where Shin‐Min Song may publish in the future.
Co-authorship network of co-authors of Shin‐Min Song
This figure shows the co-authorship network connecting the top 25 collaborators of Shin‐Min Song. A scholar is included among the top collaborators of Shin‐Min Song 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 Shin‐Min Song. Shin‐Min Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 37 | |
| 4 | 2 | |
| 5 | 33 | |
| 6 | 24 | |
| 7 | 32 | |
| 8 | 11 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 12 | |
| 13 | 55 | |
| 14 | 47 | |
| 15 | 11 | |
| 16 | Machines That Walk: The Adaptive Suspension Vehicle | 301 |
| 17 | 15 | |
| 18 | 108 | |
| 19 | Kinematic optimal design of a six-legged walking machine / | 30 |
| 20 | 43 |
About Shin‐Min Song
Shin‐Min Song is a scholar working on Control and Systems Engineering, Biomedical Engineering and Civil and Structural Engineering, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (23 papers), Robotic Mechanisms and Dynamics (20 papers) and Soil Mechanics and Vehicle Dynamics (9 papers). The work is most often cited by research in Control and Systems Engineering (807 citations), Biomedical Engineering (935 citations) and Computer Vision and Pattern Recognition (190 citations). Shin‐Min Song has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Kenneth J. Waldron, Li‐Shan Chou, Ming Zhang, Vincent J. Vohnout, Yueh‐Jaw Lin, G. L. Kinzel, Louis F. Draganich, Gary L. Kinzel, Yi Lin and C.T. Lin. Their work appears in journals such as Journal of Biomechanics, The International Journal of Robotics Research and Mathematical Biosciences.
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.