Xingdi Yuan

22 papers and 674 indexed citations i.

About

Xingdi Yuan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xingdi Yuan has authored 22 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Xingdi Yuan’s work include Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (5 papers). Xingdi Yuan is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (5 papers). Xingdi Yuan collaborates with scholars based in United States, United Kingdom and Canada. Xingdi Yuan's co-authors include Adam Trischler, Philip Bachman, Tong Wang, Kaheer Suleman, Alessandro Sordoni, Justin Harris, Tsendsuren Munkhdalai, Marc-Alexandre Côté, Soroush Mehri and Matthew Hausknecht and has published in prestigious journals such as Multimedia Tools and Applications, International Journal of Artificial Intelligence in Education and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Xingdi Yuan i

Fields of papers citing papers by Xingdi Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xingdi Yuan

Since Specialization
Citations

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