Xiaoyan Yue
- Polymers and Plastics top 5%
- Conducting polymers and applications 4
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials 12
- Muscle activation and electromyography studies 2
- Advanced Sensor Technologies Research 1
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions 8
- Bioengineering top 10%
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- Gas Sensing Nanomaterials and Sensors 4
- Advanced MEMS and NEMS Technologies 1
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- Advanced Antenna and Metasurface Technologies 1
- Co-authors
- Chuntai LiuKun DaiGuoqiang ZhengChangyu ShenKangkang ZhouHongling SunWei ZhaiXiaozheng Wang
- Journals
- Chemical Engineering Journal (3 papers)Composites Science and Technology (2 papers)Composites Part B Engineering (1 paper)
- Partner nations
- China
In The Last Decade
Xiaoyan Yue
12 papers receiving 888 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Polymers and Plastics 495
- Biomedical Engineering 833
- Cognitive Neuroscience 241
- Bioengineering 43
- Biomaterials 73
Countries citing papers authored by Xiaoyan Yue
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
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
The 25 scholars most cited alongside Xiaoyan Yue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 15 | |
| 6 | Tunable porous fiber-shaped strain sensor with synergistic conductive network for human motion recognition and tactile sensingbreakdown → | 2024 | 58 |
| 7 | 2024 | 19 | |
| 8 | 2023 | 25 | |
| 9 | 2023 | 74 | |
| 10 | 2020 | 123 | |
| 11 | 2019 | 146 | |
| 12 | 2019 | 188 | |
| 13 | 2019 | 95 | |
| 14 | 2018 | 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), Conducting polymers and applications (4 papers), Gas Sensing Nanomaterials and Sensors (4 papers), Muscle activation and electromyography studies (2 papers), Advanced Antenna and Metasurface Technologies (1 paper), Advanced MEMS and NEMS Technologies (1 paper) and Advanced Sensor Technologies Research (1 paper). 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.