Yuanxin Ouyang

993 citations
70 papers · 571 indexed · h-index 15
Topics
Topic Modeling (25 papers)Recommender Systems and Techniques (18 papers)Natural Language Processing Techniques (12 papers)
Partner nations
ChinaAustraliaGermany

In The Last Decade

Yuanxin Ouyang

62 papers receiving 548 citations

Peers

Yuanxin Ouyang
Comparison fields: 5 of 85
  • Artificial Intelligence 290
  • Information Systems 153
  • Computer Vision and Pattern Recognition 98
  • Computer Networks and Communications 57
  • Molecular Biology 54
Replace James Michaelis with:
James Michaelis United States
Jānis Grundspeņķis Latvia
Riccardo Martoglia Italy
Ankur Singh Bist India
Francesco Osborne United Kingdom
Chhavi Rana India
Jingsen Zhang China
Ayman G. Fayoumi Saudi Arabia
Noboru Sonehara Japan
Philipp Schmidt Germany
Yuanxin Ouyang relative to James Michaelis United States James Michaelis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yuanxin Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Yuanxin Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanxin Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanxin Ouyang. A scholar is included among the top collaborators of Yuanxin Ouyang 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 Yuanxin Ouyang. Yuanxin Ouyang 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
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 0
6 1
7 0
8 2
9 2
10 4
11 2
12 37
13 1
14 61
15 0
16 0
17 4
18 18
19 5
20
Design of Networked Radio Frequency Identification System Based on Control Area Network
2

About Yuanxin Ouyang

Yuanxin Ouyang is a scholar working on Computer Science Applications, Health Informatics and Artificial Intelligence, having authored 70 papers that have together received 571 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Recommender Systems and Techniques (18 papers) and Natural Language Processing Techniques (12 papers). The work is most often cited by research in Health Informatics (25 citations), Artificial Intelligence (290 citations) and Computer Science Applications (48 citations). Yuanxin Ouyang has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Zhang Xiong, Wenge Rong, Xiong Zhang, Xuebo Liu, Dacheng Tao, Liang Ding, Min Zhang, Qihuang Zhong, Li Shen and Ting Zhang. Their work appears in journals such as Trends in Food Science & Technology, IEEE Access and Advances in Colloid and Interface Science.

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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