Yu Xiao

1.0k citations
49 papers · 765 indexed · 1 hit paper · h-index 13
Topics
Advanced Sensor and Energy Harvesting Materials (9 papers)Advanced Memory and Neural Computing (5 papers)Gas Sensing Nanomaterials and Sensors (4 papers)
Partner nations
ChinaCanadaGermany

In The Last Decade

Yu Xiao

46 papers receiving 734 citations

Hit Papers

Artificial Intelligence Meets Flexible Sensors: Emerging ...2023202620242025202350100150

Peers

Yu Xiao
Comparison fields: 5 of 73
  • Biomedical Engineering 466
  • Electrical and Electronic Engineering 402
  • Polymers and Plastics 135
  • Materials Chemistry 124
  • Cognitive Neuroscience 114
Replace Yogeenth Kumaresan with:
Yogeenth Kumaresan United Kingdom
Francesco Maita Italy
Bin Feng China
Seung‐Youl Kang South Korea
Vu Binh Nam South Korea
Yoon-Young Choi South Korea
Zhan Gao China
Jae‐Young Yoo South Korea
Gunhee Lee South Korea
Yu Xiao relative to Yogeenth Kumaresan United Kingdom Yogeenth Kumaresan's profile →
Citations per field
00.5×2.8×
Yogeenth Kumaresan · 1×
Citations per year

Countries citing papers authored by Yu Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Yu Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Xiao. A scholar is included among the top collaborators of Yu Xiao 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 Yu Xiao. Yu Xiao 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 1
2 0
3 0
4 12
5 5
6 1
7 1
8 18
9 1
10 21
11 1
12 8
13 21
14 5
15 36
16
Optimal Design Methodology of a Bidirectional Three-Phase CLLC Resonant Converter using Computer-Based Circuit Simulation
3
17 30
18 2
19 3
20 2

About Yu Xiao

Yu Xiao is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Automotive Engineering, having authored 49 papers that have together received 765 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (9 papers), Advanced Memory and Neural Computing (5 papers) and Gas Sensing Nanomaterials and Sensors (4 papers). The work is most often cited by research in Biomedical Engineering (466 citations), Polymers and Plastics (135 citations) and Bioengineering (50 citations). Yu Xiao has collaborated with scholars based in China, Canada and Germany. Frequent co-authors include Guisheng Zou, Lei Liu, Bin Feng, Wengan Wang, Jinpeng Huo, Tianming Sun, Daozhi Shen, Jin Peng, Zehua Li and W. W. Duley. Their work appears in journals such as Advanced Materials, Advanced Functional Materials and Chemical Engineering Journal.

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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