Canwen Xu

55 total papers · 10.6k total citations
20 papers, 752 citations indexed

About

Canwen Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Canwen Xu has authored 20 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Canwen Xu's work include Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (7 papers). Canwen Xu is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (7 papers). Canwen Xu collaborates with scholars based in United States, China and Switzerland. Canwen Xu's co-authors include Julian McAuley, Wangchunshu Zhou, Teven Le Scao, Victor Sanh, Quentin Lhoest, Alexander M. Rush, Yacine Jernite, Julien Plu, Anthony Moi and Lysandre Debut and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Canwen Xu

19 papers receiving 685 citations

Hit Papers

Transformers: State-of-th... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Canwen Xu 686 193 72 40 24 20 752
Jonathan Herzig 596 0.9× 150 0.8× 66 0.9× 32 0.8× 18 0.8× 24 715
Victor Sanh 558 0.8× 146 0.8× 75 1.0× 36 0.9× 23 1.0× 9 656
Igor Labutov 556 0.8× 121 0.6× 83 1.2× 27 0.7× 40 1.7× 26 672
Jiaxian Guo 370 0.5× 226 1.2× 53 0.7× 23 0.6× 26 1.1× 22 623
Jingjing Xu 634 0.9× 189 1.0× 79 1.1× 51 1.3× 27 1.1× 23 735
Tao Ge 672 1.0× 181 0.9× 80 1.1× 17 0.4× 21 0.9× 45 867
Tejaswini Deoskar 578 0.8× 105 0.5× 94 1.3× 45 1.1× 68 2.8× 17 714
Bharat Ram Ambati 674 1.0× 110 0.6× 101 1.4× 45 1.1× 66 2.8× 22 806
Stella Biderman 556 0.8× 95 0.5× 116 1.6× 17 0.4× 15 0.6× 15 702
Yun-Hsuan Sung 588 0.9× 115 0.6× 60 0.8× 31 0.8× 14 0.6× 20 681

Countries citing papers authored by Canwen Xu

Since Specialization
Citations

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

Fields of papers citing papers by Canwen Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Canwen Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Canwen Xu. A scholar is included among the top collaborators of Canwen Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Canwen Xu. Canwen Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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