Songcen Xu

40 papers and 685 indexed citations i.

About

Songcen Xu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Songcen Xu has authored 40 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 8 papers in Artificial Intelligence. Recurrent topics in Songcen Xu’s work include Human Pose and Action Recognition (7 papers), Multimodal Machine Learning Applications (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Songcen Xu is often cited by papers focused on Human Pose and Action Recognition (7 papers), Multimodal Machine Learning Applications (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Songcen Xu collaborates with scholars based in China, Sweden and United Kingdom. Songcen Xu's co-authors include Rodrigo C. de Lamare, H. Vincent Poor, Hao Lü, Chunhua Shen, Yutong Dai, Dong Liu, Houqiang Li, Kui Jia, Qixiang Ye and Fang Wan and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Co-authorship network of co-authors of Songcen Xu i

Fields of papers citing papers by Songcen Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songcen Xu

Since Specialization
Citations

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