Shao-Yuan Li

15 papers and 396 indexed citations i.

About

Shao-Yuan Li is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shao-Yuan Li has authored 15 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computer Science Applications and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shao-Yuan Li’s work include Text and Document Classification Technologies (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Shao-Yuan Li is often cited by papers focused on Text and Document Classification Technologies (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Shao-Yuan Li collaborates with scholars based in China, United States and Italy. Shao-Yuan Li's co-authors include Zhi‐Hua Zhou, Yuan Jiang, Sheng-Jun Huang, Songcan Chen, Yuan Jiang, Nitesh V. Chawla, Guoxiang Li, Yao Hu, Ye Shi and Yong Wang and has published in prestigious journals such as Neural Networks, Machine Learning and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Shao-Yuan Li i

Fields of papers citing papers by Shao-Yuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Yuan Li. 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 Shao-Yuan Li. The network helps show where Shao-Yuan Li may publish in the future.

Countries citing papers authored by Shao-Yuan Li

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025