Peng Song
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- Dynamics and Control of Mechanical Systems 7
- Robot Manipulation and Learning 7
- Robotic Mechanisms and Dynamics 5
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- Contact Mechanics and Variational Inequalities 3
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- Soft Robotics and Applications 3
- Prosthetics and Rehabilitation Robotics 2
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- Robotic Path Planning Algorithms 3
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- Mechanical stress and fatigue analysis 2
- Co-authors
- Xuping ZhangYueqing YuV. KumarJong‐Shi PangPierre E. DupontVijay KumarM. YashimaBowen Cai
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Peng Song
18 papers receiving 458 citations
Peers
Comparison fields: 5 of 65
- Control and Systems Engineering 333
- Computational Theory and Mathematics 67
- Biomedical Engineering 167
- Mechanical Engineering 126
- Automotive Engineering 39
Countries citing papers authored by Peng Song
This map shows the geographic impact of Peng 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 Peng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Song more than expected).
Fields of papers citing papers by Peng Song
This network shows the impact of papers produced by Peng 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 Peng Song. The network helps show where Peng Song may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Peng Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 7 | |
| 2 | 2021 | 28 | |
| 3 | 2019 | 22 | |
| 4 | 2019 | 107 | |
| 5 | 2017 | 27 | |
| 6 | 2010 | 4 | |
| 7 | 2006 | 3 | |
| 8 | 2005 | 22 | |
| 9 | 2005 | 4 | |
| 10 | 2004 | 59 | |
| 11 | 2004 | 17 | |
| 12 | 2003 | 12 | |
| 13 | 2002 | 19 | |
| 14 | 2002 | 24 | |
| 15 | Modeling, analysis and simulation of multibody systems with contact and friction | 2002 | 11 |
| 16 | A Framework for Scalable Cooperative Navigation of Autonomous Vehicles | 2001 | 2 |
| 17 | 2000 | 104 | |
| 18 | 1999 | 10 |
About Peng Song
Peng Song is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Automotive Engineering, Mechanics of Materials and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 482 indexed citations. Recurring topics across this work include Dynamics and Control of Mechanical Systems (7 papers), Robot Manipulation and Learning (7 papers), Robotic Mechanisms and Dynamics (5 papers), Contact Mechanics and Variational Inequalities (3 papers), Soft Robotics and Applications (3 papers), Robotic Path Planning Algorithms (3 papers), Mechanical stress and fatigue analysis (2 papers) and Prosthetics and Rehabilitation Robotics (2 papers). The work is most often cited by research in Control and Systems Engineering (333 citations), Computational Theory and Mathematics (67 citations), Biomedical Engineering (167 citations), Mechanical Engineering (126 citations) and Automotive Engineering (39 citations). Peng Song has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Xuping Zhang, Yueqing Yu, V. Kumar, Jong‐Shi Pang, Pierre E. Dupont, Vijay Kumar, Vijay Kumar, M. Yashima, Bowen Cai and Xiao Huang. Their work appears in journals such as Remote Sensing, Robotica, SIAM Journal on Numerical Analysis, Journal of Applied Mechanics and IEEE Robotics and Automation Letters.
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.