Xinyuan Cai

602 total citations
28 papers, 353 citations indexed

About

Xinyuan Cai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Xinyuan Cai has authored 28 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Xinyuan Cai's work include Face and Expression Recognition (10 papers), Face recognition and analysis (9 papers) and Speech Recognition and Synthesis (6 papers). Xinyuan Cai is often cited by papers focused on Face and Expression Recognition (10 papers), Face recognition and analysis (9 papers) and Speech Recognition and Synthesis (6 papers). Xinyuan Cai collaborates with scholars based in China, United States and India. Xinyuan Cai's co-authors include Yadong Xue, Mahdi Shadabfar, Chunheng Wang, Baihua Xiao, Hua Shao, Ji Zhou, Bo Xu, Hongwei Huang, Xue Chen and Fei Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Frontiers in Neuroscience.

In The Last Decade

Xinyuan Cai

27 papers receiving 344 citations

Peers

Xinyuan Cai
Comparison fields: 5 of 58
  • Civil and Structural Engineering 129
  • Artificial Intelligence 109
  • Computer Vision and Pattern Recognition 97
  • Signal Processing 85
  • Ocean Engineering 50
Replace Bahareh Behkamal with:
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Jiheon Kang South Korea
Albert Y. Ayenu-Prah United States
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Tom Altman United States
Matteo Ceriotti Germany
Jinbo Song China
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Bahareh Behkamal Italy View profile →
Citations per field, relative to Xinyuan Cai
Xinyuan Cai · 1×
Citations per year, relative to Xinyuan Cai
Xinyuan Cai · 1×

Countries citing papers authored by Xinyuan Cai

Since Specialization
Citations

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

Fields of papers citing papers by Xinyuan Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyuan Cai

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 2
3 1
4 91
5 10
6 1
7 38
8 1
9 4
10 17
11 9
12 0
13 5
14
Regularized latent least square regression for cross pose face recognition
22
15 1
16 1
17 54
18 1
19
Culture-based user interface design.
2
20
The Gustatory Psychology in Food Packaging Design
1

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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