Songlei Jian

27 papers and 332 indexed citations i.

About

Songlei Jian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Songlei Jian has authored 27 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Songlei Jian’s work include Topic Modeling (7 papers), Advanced Graph Neural Networks (6 papers) and Recommender Systems and Techniques (5 papers). Songlei Jian is often cited by papers focused on Topic Modeling (7 papers), Advanced Graph Neural Networks (6 papers) and Recommender Systems and Techniques (5 papers). Songlei Jian collaborates with scholars based in China, Australia and United States. Songlei Jian's co-authors include Longbing Cao, Hang Gao, Kai Lü, Liang Hu, Guansong Pang, Qingkui Chen, Yusong Tan, Dongsheng Li, Chenlin Huang and Philip H. S. Torr and has published in prestigious journals such as IEEE Access, Information Sciences and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Songlei Jian i

Fields of papers citing papers by Songlei Jian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songlei Jian

Since Specialization
Citations

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