Xiaoyan Yue

1.1k citations
14 papers · 904 indexed · 1 hit paper · h-index 10
Topics
Advanced Sensor and Energy Harvesting Materials (12 papers)Tactile and Sensory Interactions (8 papers)Conducting polymers and applications (4 papers)
Partner nations
China

In The Last Decade

Xiaoyan Yue

12 papers receiving 888 citations

Hit Papers

Tunable porous fiber-shaped strain sensor with synergisti...20242026202520241020304050

Peers

Xiaoyan Yue
Comparison fields: 5 of 52
  • Biomedical Engineering 833
  • Polymers and Plastics 495
  • Electrical and Electronic Engineering 242
  • Cognitive Neuroscience 241
  • Materials Chemistry 73
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Tian Lan China
Yeongjun Kim South Korea
Yangyang Xin Saudi Arabia
Yudong Huang China
Liangren Chen China
Pierre Claver Uzabakiriho China
Mingyuan Chao China
Huixin Luan China
Xiaoyan Yue relative to Tian Lan China Tian Lan's profile →
Citations per field
00.5×1.7×
Tian Lan · 1×
Citations per year

Countries citing papers authored by Xiaoyan Yue

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Yue

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 3
5 15
6
Tunable porous fiber-shaped strain sensor with synergistic conductive network for human motion recognition and tactile sensingbreakdown →
58
7 19
8 25
9 74
10 123
11 146
12 188
13 95
14 156

About Xiaoyan Yue

Xiaoyan Yue is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Polymers and Plastics, having authored 14 papers that have together received 904 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (12 papers), Tactile and Sensory Interactions (8 papers) and Conducting polymers and applications (4 papers). The work is most often cited by research in Polymers and Plastics (495 citations), Biomedical Engineering (833 citations) and Cognitive Neuroscience (241 citations). Xiaoyan Yue has collaborated with scholars based in China. Frequent co-authors include Chuntai Liu, Kun Dai, Guoqiang Zheng, Changyu Shen, Kangkang Zhou, Hongling Sun, Wei Zhai, Xiaozheng Wang, Yunfei Yu and Changyu Shen. Their work appears in journals such as Chemical Engineering Journal, Composites Science and Technology and Composites Part B Engineering.

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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