Kai Xiao

19.1k total citations · 4 hit papers
277 papers, 15.6k citations indexed

About

Kai Xiao is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Kai Xiao has authored 277 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Materials Chemistry, 150 papers in Electrical and Electronic Engineering and 39 papers in Biomedical Engineering. Recurrent topics in Kai Xiao's work include 2D Materials and Applications (92 papers), Perovskite Materials and Applications (67 papers) and Chalcogenide Semiconductor Thin Films (38 papers). Kai Xiao is often cited by papers focused on 2D Materials and Applications (92 papers), Perovskite Materials and Applications (67 papers) and Chalcogenide Semiconductor Thin Films (38 papers). Kai Xiao collaborates with scholars based in United States, China and South Korea. Kai Xiao's co-authors include David B. Geohegan, Alexander A. Puretzky, Christopher M. Rouleau, PingAn Hu, Ilia N. Ivanov, Ming‐Wei Lin, Lifeng Wang, Xufan Li, Bobby G. Sumpter and Mina Yoon and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Kai Xiao

261 papers receiving 15.4k citations

Hit Papers

Atomic Defects in Monolayer Titanium Carbide (Ti3C2Tx) MXene 2012 2026 2016 2021 2016 2012 2013 2017 250 500 750

Peers

Kai Xiao
Comparison fields: 5 of 139
  • Materials Chemistry 11.9k
  • Electrical and Electronic Engineering 8.8k
  • Biomedical Engineering 2.0k
  • Electronic, Optical and Magnetic Materials 2.0k
  • Polymers and Plastics 1.8k
Replace Jun Chen with:
Jun Chen China
Caterina Ducati United Kingdom
Chorng Haur Sow Singapore
Dietrich R. T. Zahn Germany
Simone Raoux United States
A. Alec Talin United States
Kai Liu China
Jianguo Wen United States
Delia J. Milliron United States
Hilmi Volkan Demir Türkiye
Jun Chen China View profile →
Citations per field, relative to Kai Xiao
Kai Xiao · 1×
Citations per year, relative to Kai Xiao
Kai Xiao · 1×

Countries citing papers authored by Kai Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Xiao. A scholar is included among the top collaborators of Kai 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 Kai Xiao. Kai 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
# Work Indexed citations
1 1
2 3
3 25
4 1
5 3
6 13
7 3
8 8
9 0
10 27
11 6
12 17
13 6
14 3
15 54
16 100
17 8
18 28
19 19
20
Performance analysis for a traceable impulse voltage generator
0

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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