Peng Song
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 2%
- Human-Computer Interaction top 1%
- Mechanical Engineering top 10%
- Automotive Engineering top 5%
- Co-authors
- Chi‐Wing FuDaniel Cohen‐OrAxel VoigtJohn LowengrubWooi Boon GohMark V. PaulyLigang LiuXiaopei Liu
- Topics
- 3D Shape Modeling and Analysis (16 papers)Computer Graphics and Visualization Techniques (11 papers)Interactive and Immersive Displays (10 papers)
In The Last Decade
Peng Song
76 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Computational Mechanics 429
- Computer Vision and Pattern Recognition 414
- Human-Computer Interaction 289
- Mechanical Engineering 246
- Automotive Engineering 194
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 of co-authors of Peng Song
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Song. A scholar is included among the top collaborators of Peng 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 Peng Song. Peng 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 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | Studies of Crustal Growth and Deep Lithospheric Architecture and New Issues:Exemplified by the Central Asian Orogenic Belt (Northern Xinjiang) | 6 |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | Multiple matching attenuation method based on optimized event tracing | 2 |
| 19 | Research on Gesture Recognition Based on ZigBee and Acceleration Sensor | 1 |
| 20 | Real-time monitoring system for accuracy of precision seeder. | 4 |
About Peng Song
Peng Song is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Geology, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (16 papers), Computer Graphics and Visualization Techniques (11 papers) and Interactive and Immersive Displays (10 papers). The work is most often cited by research in Human-Computer Interaction (289 citations), Computer Graphics and Computer-Aided Design (170 citations) and Architecture (39 citations). Peng Song has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Chi‐Wing Fu, Daniel Cohen‐Or, Axel Voigt, John Lowengrub, Wooi Boon Goh, Mark V. Pauly, Ligang Liu, Xiaopei Liu, Ligang Liu and Keke Tang. Their work appears in journals such as Journal of Computational Physics, ACS Applied Materials & Interfaces and IEEE Access.
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.