Linting Xue

9 papers and 700 indexed citations i.

About

Linting Xue is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Linting Xue has authored 9 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Linting Xue’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (2 papers). Linting Xue is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (2 papers). Linting Xue collaborates with scholars based in United States. Linting Xue's co-authors include Rami Al‐Rfou, Mihir Kale, Colin Raffel, Aditya Barua, Adam P. Roberts, Noah Constant, Aditya Siddhant, Sharan Narang, Fernando J. Kim and Jiucai Zhang and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Linting Xue i

Fields of papers citing papers by Linting Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linting Xue

Since Specialization
Citations

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