Xinyi Xu

540 citations
17 papers · 175 indexed · h-index 9
Topics
Domain Adaptation and Few-Shot Learning (4 papers)Privacy-Preserving Technologies in Data (3 papers)Advanced Manufacturing and Logistics Optimization (2 papers)

In The Last Decade

Xinyi Xu

14 papers receiving 173 citations

Peers

Xinyi Xu
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 72
  • Artificial Intelligence 72
  • Electrical and Electronic Engineering 32
  • Computational Mechanics 21
  • Control and Systems Engineering 20
Replace Hanie Sedghi with:
Hanie Sedghi United States
Amir‐massoud Farahmand United States
Linnan Wang United States
Xiang Meng China
Yao Zhu Germany
Erdem Koyuncu United States
Marcel Ambroze United Kingdom
Xinjia Chen United States
Chenghong Bian United Kingdom
Xinyi Xu relative to Hanie Sedghi United States Hanie Sedghi's profile →
Citations per field
00.5×10.5×
Hanie Sedghi · 1×
Citations per year

Countries citing papers authored by Xinyi Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xinyi Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyi Xu

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 0
5 5
6 14
7 15
8 12
9 2
10 14
11 8
12 22
13 17
14 47
15
Analysis for the M/M/1 Vacation Queue with Setup Times and Variable Service Rate
0
16 4
17 13

About Xinyi Xu

Xinyi Xu is a scholar working on Numerical Analysis, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 175 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Computational Mathematics (3 citations), Computer Vision and Pattern Recognition (72 citations) and Artificial Intelligence (72 citations). Xinyi Xu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Cheng Deng, Yanhua Yang, Xing He, Zenan Ling, Lei Chu, Qian Ai, Robert C. Qiu, Shuiwang Ji, Ning Qin and B. E. Richards. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

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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