Xiaoyun Chen

1.3k total citations
69 papers, 971 citations indexed

About

Xiaoyun Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Xiaoyun Chen has authored 69 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Biomedical Engineering. Recurrent topics in Xiaoyun Chen's work include Face and Expression Recognition (11 papers), Data Mining Algorithms and Applications (9 papers) and Advanced Clustering Algorithms Research (6 papers). Xiaoyun Chen is often cited by papers focused on Face and Expression Recognition (11 papers), Data Mining Algorithms and Applications (9 papers) and Advanced Clustering Algorithms Research (6 papers). Xiaoyun Chen collaborates with scholars based in China, United States and Australia. Xiaoyun Chen's co-authors include Xiaofu Wang, Junfeng Xu, Jian Sun, Jian Wu, Xiaona Lin, Cheng Qian, Yu‐Dong Cai, Hui Song, Ming Tan and Ping Wang and has published in prestigious journals such as PLoS ONE, Chemical Communications and Chemical Engineering Journal.

In The Last Decade

Xiaoyun Chen

64 papers receiving 947 citations

Peers

Xiaoyun Chen
Comparison fields: 5 of 124
  • Molecular Biology 370
  • Biomedical Engineering 222
  • Artificial Intelligence 204
  • Microbiology 109
  • Computer Vision and Pattern Recognition 104
Replace Ali Raza with:
Ali Raza Pakistan
Xiang Chen China
Daehee Kim South Korea
Dariusz Mrozek Poland
Qi Qi China
Bowen Zhang China
Chih-Yu Wang Taiwan
Lixing Wang China
Hyunsung Kim South Korea
Zijian Wang China
Ali Raza Pakistan View profile →
Citations per field, relative to Xiaoyun Chen
Xiaoyun Chen · 1×
Citations per year, relative to Xiaoyun Chen
Xiaoyun Chen · 1×

Countries citing papers authored by Xiaoyun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyun Chen. A scholar is included among the top collaborators of Xiaoyun Chen 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 Xiaoyun Chen. Xiaoyun Chen 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 7
2 1
3 5
4 5
5 18
6 1
7 7
8 6
9 0
10 4
11 14
12 6
13
MST-Based Semi-Supervised Clustering Using M-Labeled Objects
1
14 168
15
Construction algorithm of FP-tree based on adjacency matrix
1
16
A novel approach of model selection for SVR
1
17
Clustering algorithm for multi-density based on grid relative density
0
18
K-means clustering algorithm based on semi-supervised learning
4
19
A Comparison of Approaches for Image Classification
4
20 32

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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