Yuxian Gu

1.8k citations
9 papers · 311 indexed · 1 hit paper · h-index 6
Topics
Natural Language Processing Techniques (6 papers)Topic Modeling (6 papers)Multimodal Machine Learning Applications (2 papers)
Journals
SHILAP Revista de lepidopterologíaarXiv (Cornell University)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Yuxian Gu

9 papers receiving 301 citations

Hit Papers

PPT: Pre-trained Prompt Tuning for Few-shot Learning2022202620232024202250100150

Peers

Yuxian Gu
Comparison fields: 5 of 49
  • Artificial Intelligence 259
  • Computer Vision and Pattern Recognition 72
  • Information Systems 44
  • Management Science and Operations Research 18
  • Signal Processing 15
Replace Muyun Yang with:
Muyun Yang China
Sundararajan Sellamanickam United States
Emmanouil Antonios Platanios United States
Lixin Su United States
Hidetaka Kamigaito Japan
Arun Tejasvi Chaganty United States
Ahoud Alhazmi Australia
Yuning Mao United States
Chengtai Cao China
Yongduo Sui China
Yuxian Gu relative to Muyun Yang China Muyun Yang's profile →
Citations per field
00.5×2.7×
Muyun Yang · 1×
Citations per year

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

9 of 9 papers shown
#WorkIndexed citations
1 3
2 2
3 5
4
PPT: Pre-trained Prompt Tuning for Few-shot Learningbreakdown →
161
5 3
6 10
7 43
8 23
9 61

About Yuxian Gu

Yuxian Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 9 papers that have together received 311 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Artificial Intelligence (259 citations), Computer Vision and Pattern Recognition (72 citations) and Software (9 citations). Yuxian Gu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhiyuan Liu, Xu Han, Minlie Huang, Xin Lv, Lei Hou, Juanzi Li, Maosong Sun, Zhengyan Zhang, Minlie Huang and Xiaozhi Wang. Their work appears in 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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026