Xiaojun Chen

1.1k citations
13 papers · 642 indexed · 1 hit paper · h-index 6
Topics
Advanced Graph Neural Networks (9 papers)Topic Modeling (7 papers)Domain Adaptation and Few-Shot Learning (3 papers)
Partner nations
ChinaAustralia

In The Last Decade

Xiaojun Chen

12 papers receiving 627 citations

Hit Papers

A review: Knowledge reasoning over knowledge graph20192026202120232019100200300400500

Peers

Xiaojun Chen
Comparison fields: 5 of 105
  • Artificial Intelligence 402
  • Information Systems 99
  • Management Science and Operations Research 88
  • Computer Vision and Pattern Recognition 68
  • Molecular Biology 49
Replace Shengbin Jia with:
Shengbin Jia China
Mohamed Abdel-Basset Egypt
Yufei Wang China
Boris Kovalerchuk United States
Nijat Mehdiyev Germany
Ramzan Talib Pakistan
John S. Breese United States
Radim Jiroušek Czechia
Mohd Hilmi Hasan Malaysia
Marco Valtorta United States
Xiaojun Chen relative to Shengbin Jia China Shengbin Jia's profile →
Citations per field
00.5×1.5×
Shengbin Jia · 1×
Citations per year

Countries citing papers authored by Xiaojun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Chen

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 3
3 9
4 4
5 9
6 5
7 13
8 1
9 2
10 12
11
A review: Knowledge reasoning over knowledge graphbreakdown →
581
12
TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs.
2
13 1

About Xiaojun Chen

Xiaojun Chen is a scholar working on Artificial Intelligence, Health Information Management and Management Science and Operations Research, having authored 13 papers that have together received 642 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (9 papers), Topic Modeling (7 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Artificial Intelligence (402 citations), Management Science and Operations Research (88 citations) and Information Systems (99 citations). Xiaojun Chen has collaborated with scholars based in China and Australia. Frequent co-authors include Shengbin Jia, Yang Xiang, Ling Ding, Yang Xiang, Chen Wang, Zhong Ming, Feiping Nie, Bingkun Chen, Bo Wang and Hong Shen. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Neural Networks.

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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