Peng Song
- Experimental and Cognitive Psychology top 1%
- Cognitive Neuroscience top 2%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 1%
- Topics
- Face and Expression Recognition (45 papers)Speech and Audio Processing (29 papers)Emotion and Mood Recognition (29 papers)
- Partner nations
- ChinaChileUnited States
In The Last Decade
Peng Song
99 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Experimental and Cognitive Psychology 1.1k
- Cognitive Neuroscience 881
- Artificial Intelligence 716
- Computer Vision and Pattern Recognition 547
- Signal Processing 472
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 | 8 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 19 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 22 | |
| 16 | 13 | |
| 17 | 26 | |
| 18 | 35 | |
| 19 | 57 | |
| 20 | 77 |
About Peng Song
Peng Song is a scholar working on Computational Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 108 papers that have together received 2.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (45 papers), Speech and Audio Processing (29 papers) and Emotion and Mood Recognition (29 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.1k citations), Computational Mathematics (27 citations) and Cognitive Neuroscience (881 citations). Peng Song has collaborated with scholars based in China, Chile and United States. Frequent co-authors include Wenming Zheng, Zhen Cui, Tengfei Song, Jiye Liang, G. Michael Morris, Yun Jin, Xiangyu Liu, Yanwei Yu, Li Zhao and Zhiqiang Wang. Their work appears in journals such as Optics Letters, Expert Systems with Applications 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.