Xiaoyun Chen

923 total citations
60 papers, 626 citations indexed

About

Xiaoyun Chen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Xiaoyun Chen has authored 60 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 33 papers in Statistical and Nonlinear Physics and 19 papers in Molecular Biology. Recurrent topics in Xiaoyun Chen's work include Complex Network Analysis Techniques (33 papers), Bioinformatics and Genomic Networks (17 papers) and Advanced Graph Neural Networks (16 papers). Xiaoyun Chen is often cited by papers focused on Complex Network Analysis Techniques (33 papers), Bioinformatics and Genomic Networks (17 papers) and Advanced Graph Neural Networks (16 papers). Xiaoyun Chen collaborates with scholars based in China, Germany and Saudi Arabia. Xiaoyun Chen's co-authors include Longjie Li, Shenshen Bai, Jianjun Cheng, Yang Yu, Yakun Zhang, Tao Ma, Chen Wang, Jianzhou Wang, Yukai Yao and Wenbo Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Xiaoyun Chen

57 papers receiving 591 citations

Peers

Xiaoyun Chen
Comparison fields: 5 of 97
  • Artificial Intelligence 348
  • Statistical and Nonlinear Physics 271
  • Computer Networks and Communications 171
  • Molecular Biology 120
  • Signal Processing 72
Replace Longjie Li with:
Longjie Li China
Nasrullah Khan China
Weiyi Liu China
Tao-Yang Fu United States
Anupam Biswas India
Alireza Rezvanian Iran
Qi Cao China
Jun Huan United States
Balabhaskar Balasundaram United States
Longjie Li China 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 2
2 0
3 7
4 7
5 5
6 28
7 16
8 25
9 8
10 1
11 9
12 45
13 18
14 4
15 94
16 2
17 20
18
Garbage Disposal Policy and Civil Society Movement
1
19
Maximal Frequent Itemsets Mining Algorithm Based on Linked List Array
2
20 3

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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