Peipei Song

24 papers and 176 indexed citations i.

About

Peipei Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Peipei Song has authored 24 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Peipei Song’s work include Multimodal Machine Learning Applications (6 papers), Video Analysis and Summarization (4 papers) and Human Pose and Action Recognition (4 papers). Peipei Song is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Video Analysis and Summarization (4 papers) and Human Pose and Action Recognition (4 papers). Peipei Song collaborates with scholars based in China, Japan and United States. Peipei Song's co-authors include Yu Chen, Dan Guo, Meng Wang, Ping Xu, Rong Chen, Fen Li, Feng Duan, Chi Zhu, Hiroshi Yokoi and Wenkai Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Peipei Song i

Fields of papers citing papers by Peipei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peipei Song

Since Specialization
Citations

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

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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2025