Yuxiang Yan

4.0k total citations
131 papers, 2.9k citations indexed

About

Yuxiang Yan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuxiang Yan has authored 131 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 25 papers in Cardiology and Cardiovascular Medicine and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuxiang Yan's work include Augmented Reality Applications (17 papers), Cardiovascular Health and Risk Factors (14 papers) and Nutritional Studies and Diet (10 papers). Yuxiang Yan is often cited by papers focused on Augmented Reality Applications (17 papers), Cardiovascular Health and Risk Factors (14 papers) and Nutritional Studies and Diet (10 papers). Yuxiang Yan collaborates with scholars based in China, Australia and United States. Yuxiang Yan's co-authors include Wei Wang, Hua Yang, Zao Yi, Ruishan Li, Tao Xian, Xiangxian Wang, Xinxin Zhao, Hua Yang, Yan He and Xiaoliang Bai and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Yuxiang Yan

127 papers receiving 2.9k citations

Peers

Yuxiang Yan
Comparison fields: 5 of 179
  • Renewable Energy, Sustainability and the Environment 545
  • Cardiology and Cardiovascular Medicine 521
  • Materials Chemistry 432
  • Molecular Biology 403
  • Electrical and Electronic Engineering 319
Replace Tapas Mondal with:
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Wenyan Jia United States
Hee Chan Kim South Korea
Shin Yamamoto Japan
Samjin Choi South Korea
Fatimah Ibrahim Malaysia
Young–Jin Jung South Korea
Sung‐Min Cho South Korea
Shin‐ichi Tanabe Japan
Qing Chang China
Tapas Mondal Canada View profile →
Citations per field, relative to Yuxiang Yan
Yuxiang Yan · 1×
Citations per year, relative to Yuxiang Yan
Yuxiang Yan · 1×

Countries citing papers authored by Yuxiang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yuxiang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxiang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxiang Yan. A scholar is included among the top collaborators of Yuxiang Yan 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 Yuxiang Yan. Yuxiang Yan 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 1
2 1
3 4
4 4
5 4
6 1
7 4
8 6
9 4
10 7
11 6
12 6
13 24
14 4
15 5
16 22
17 84
18 87
19 78
20 34

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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