Qinlan Shen

9 papers and 163 indexed citations i.

About

Qinlan Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication. According to data from OpenAlex, Qinlan Shen has authored 9 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Communication. Recurrent topics in Qinlan Shen’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (2 papers). Qinlan Shen is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (2 papers). Qinlan Shen collaborates with scholars based in United States, Ireland and The Netherlands. Qinlan Shen's co-authors include Yinfei Yang, Brian Strope, Gustavo Hernández Ábrego, Yun-Hsuan Sung, Ray Kurzweil, Daniel Cer, Mandy Guo, Carolyn Penstein Rosé, Graham Neubig and Yohan Jo and has published in prestigious journals such as Journal of Artificial Intelligence Research, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Qinlan Shen i

Fields of papers citing papers by Qinlan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qinlan Shen

Since Specialization
Citations

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