Xin Lei
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- Neuroscience and Neural Engineering 5
- Mechanics of Materials top 10%
- Metal and Thin Film Mechanics 2
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- Advanced Memory and Neural Computing 5
- Microwave Engineering and Waveguides 2
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- EEG and Brain-Computer Interfaces 3
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- Dielectric properties of ceramics 2
- ZnO doping and properties 2
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- Ga2O3 and related materials 2
- Co-authors
- Xu GuoJianhua ZhouJishun ChenDingchuan XueWeisheng ZhangXuefeng ZhuDaniel PalankerGeorges Goetz
- Cited by
- Acoustics and UltrasonicsCellular and Molecular NeuroscienceCivil and Structural Engineering
- Journals
- Computer Methods in Applied Mechanics and Engineering (1 paper)Journal of Materials Science (1 paper)Vision Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xin Lei
16 papers receiving 534 citations
Peers
Comparison fields: 5 of 54
- Acoustics and Ultrasonics 10
- Cellular and Molecular Neuroscience 183
- Civil and Structural Engineering 201
- Computational Theory and Mathematics 88
- Mechanics of Materials 131
Countries citing papers authored by Xin Lei
This map shows the geographic impact of Xin Lei'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 Xin Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Lei more than expected).
Fields of papers citing papers by Xin Lei
This network shows the impact of papers produced by Xin Lei. 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 Xin Lei. The network helps show where Xin Lei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin Lei, 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 | 7 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 7 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 67 | |
| 9 | 2018 | 0 | |
| 10 | 2018 | 25 | |
| 11 | 2018 | 1 | |
| 12 | 2017 | 14 | |
| 13 | 2017 | 210 | |
| 14 | 2016 | 50 | |
| 15 | 2016 | 33 | |
| 16 | 2015 | 48 | |
| 17 | 2014 | 65 |
About Xin Lei
Xin Lei is a scholar working on General Materials Science, Cellular and Molecular Neuroscience and Electronic, Optical and Magnetic Materials, having authored 17 papers that have together received 553 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Neuroscience and Neural Engineering (5 papers), EEG and Brain-Computer Interfaces (3 papers), Dielectric properties of ceramics (2 papers), Metal and Thin Film Mechanics (2 papers), ZnO doping and properties (2 papers), Ga2O3 and related materials (2 papers) and Microwave Engineering and Waveguides (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (10 citations), Cellular and Molecular Neuroscience (183 citations) and Civil and Structural Engineering (201 citations). Xin Lei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xu Guo, Jianhua Zhou, Jishun Chen, Dingchuan Xue, Weisheng Zhang, Xuefeng Zhu, Daniel Palanker, Georges Goetz, T. I. Kamins and Keith Mathieson. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Materials Science and Vision Research.
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.