Yunsheng Song

14 papers and 288 indexed citations i.

About

Yunsheng Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yunsheng Song has authored 14 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Yunsheng Song’s work include Machine Learning and Data Classification (6 papers), Face and Expression Recognition (3 papers) and Imbalanced Data Classification Techniques (3 papers). Yunsheng Song is often cited by papers focused on Machine Learning and Data Classification (6 papers), Face and Expression Recognition (3 papers) and Imbalanced Data Classification Techniques (3 papers). Yunsheng Song collaborates with scholars based in China, Taiwan and Russia. Yunsheng Song's co-authors include Jiye Liang, Jing Lu, Xingwang Zhao, Тatiana M. Kodrul, Н. П. Маслова, Jianhua Jin, Xinyue Zhao, Shaomin Mu, Changxiu Cheng and Chao Zhang and has published in prestigious journals such as American Journal of Botany, Neurocomputing and Applied Sciences.

In The Last Decade

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

Fields of papers citing papers by Yunsheng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunsheng Song

Since Specialization
Citations

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