Yuxian Gu

33 total papers · 1.7k total citations
9 papers, 303 citations indexed

About

Yuxian Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Yuxian Gu has authored 9 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in General Health Professions. Recurrent topics in Yuxian Gu's work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Yuxian Gu is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Yuxian Gu collaborates with scholars based in China, United States and Canada. Yuxian Gu's co-authors include Zhiyuan Liu, Xu Han, Minlie Huang, Xin Lv, Lei Hou, Juanzi Li, Zhengyan Zhang, Maosong Sun, Minlie Huang and Xiaozhi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Yuxian Gu

9 papers receiving 293 citations

Hit Papers

PPT: Pre-trained Prompt T... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Yuxian Gu 255 71 44 18 14 9 303
Niklas Muennighoff 290 1.1× 51 0.7× 36 0.8× 16 0.9× 9 0.6× 8 357
Qingxiu Dong 186 0.7× 45 0.6× 35 0.8× 8 0.4× 8 0.6× 11 266
Chengtai Cao 202 0.8× 64 0.9× 25 0.6× 10 0.6× 10 0.7× 10 247
Tobias Domhan 216 0.8× 122 1.7× 17 0.4× 11 0.6× 12 0.9× 8 297
Ori Ram 230 0.9× 71 1.0× 30 0.7× 7 0.4× 9 0.6× 7 307
Ashwin Paranjape 184 0.7× 36 0.5× 53 1.2× 15 0.8× 17 1.2× 7 297
Peter Prettenhofer 297 1.2× 38 0.5× 45 1.0× 11 0.6× 9 0.6× 8 364
Yunzhi Yao 265 1.0× 39 0.5× 39 0.9× 25 1.4× 20 1.4× 5 304
Zai Huang 277 1.1× 52 0.7× 83 1.9× 9 0.5× 9 0.6× 7 358
Hanjie Chen 226 0.9× 28 0.4× 28 0.6× 11 0.6× 12 0.9× 10 320

Countries citing papers authored by Yuxian Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yuxian Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxian Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxian Gu. A scholar is included among the top collaborators of Yuxian Gu 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 Yuxian Gu. Yuxian Gu 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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