Yige Xu

4.2k total citations · 2 hit papers
12 papers, 1.2k citations indexed

About

Yige Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yige Xu has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yige Xu's work include Topic Modeling (3 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Yige Xu is often cited by papers focused on Topic Modeling (3 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Yige Xu collaborates with scholars based in China, Singapore and Japan. Yige Xu's co-authors include Xipeng Qiu, Xuanjing Huang, Yunfan Shao, Ning Dai, Tianxiang Sun, Yiqi Wu, Jingxuan Liu, Zhanhao Zhang, Yan-Kun Chen and Lingyun Peng and has published in prestigious journals such as Acta Biomaterialia, BMC Bioinformatics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Yige Xu

11 papers receiving 1.2k citations

Hit Papers

Pre-trained models for natural language processing: A survey 2020 2026 2022 2024 2020 2024 250 500 750

Peers

Yige Xu
Comparison fields: 5 of 152
  • Artificial Intelligence 805
  • Computer Vision and Pattern Recognition 183
  • Information Systems 174
  • Molecular Biology 81
  • Signal Processing 80
Replace Tianxiang Sun with:
Tianxiang Sun China
Yunfan Shao China
Ning Dai China
Yuexin Wu China
Sabrina Tiun Malaysia
Yidong Wang China
Saman Forouzandeh Australia
Been Kim United States
Mostafa Dehghani Netherlands
Tianxiang Sun China View profile →
Citations per field, relative to Yige Xu
Yige Xu · 1×
Citations per year, relative to Yige Xu
Yige Xu · 1×

Countries citing papers authored by Yige Xu

Since Specialization
Citations

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

Fields of papers citing papers by Yige Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yige Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Yige Xu. A scholar is included among the top collaborators of Yige 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 Yige Xu. Yige Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1
Auto-Encoding Variational Bayes breakdown →
161
2 1
3 14
4 6
5 10
6 30
7 1
8
Pre-trained models for natural language processing: A survey breakdown →
922
9 32
10 12
11 0
12 55

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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