Xiaoxian Liu
- Biomedical Engineering top 5%
- Biosensors and Analytical Detection 13
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing 3
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- Gold and Silver Nanoparticles Synthesis and Applications 3
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- Advanced biosensing and bioanalysis techniques 9
- Extracellular vesicles in disease 2
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- Neural dynamics and brain function 2
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- Advanced Memory and Neural Computing 2
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- Neuroscience and Neural Engineering 2
- Co-authors
- Rui XiaoChongwen WangShengqi WangShuiyuan WangXingsheng YangPeng ZhouDeren YangMingsheng Xu
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoxian Liu
20 papers receiving 899 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Biomedical Engineering 499
- Infectious Diseases 130
- Electronic, Optical and Magnetic Materials 110
- Molecular Biology 397
- Materials Chemistry 264
Countries citing papers authored by Xiaoxian Liu
This map shows the geographic impact of Xiaoxian Liu'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 Xiaoxian Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxian Liu more than expected).
Fields of papers citing papers by Xiaoxian Liu
This network shows the impact of papers produced by Xiaoxian Liu. 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 Xiaoxian Liu. The network helps show where Xiaoxian Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoxian Liu, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 6 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 13 | |
| 10 | 2024 | 15 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 5 | |
| 14 | Two-dimensional devices and integration towards the silicon linesbreakdown → | 2022 | 226 |
| 15 | 2021 | 87 | |
| 16 | 2020 | 51 | |
| 17 | 2020 | 130 | |
| 18 | 2020 | 82 | |
| 19 | 2019 | 101 | |
| 20 | 2006 | 19 |
About Xiaoxian Liu
Xiaoxian Liu is a scholar working on Biomedical Engineering, Emergency Medical Services and Electronic, Optical and Magnetic Materials, having authored 27 papers that have together received 919 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (13 papers), Advanced biosensing and bioanalysis techniques (9 papers), SARS-CoV-2 detection and testing (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Neural dynamics and brain function (2 papers), Extracellular vesicles in disease (2 papers), Advanced Memory and Neural Computing (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Biomedical Engineering (499 citations), Infectious Diseases (130 citations) and Electronic, Optical and Magnetic Materials (110 citations). Xiaoxian Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rui Xiao, Chongwen Wang, Shengqi Wang, Shuiyuan Wang, Xingsheng Yang, Peng Zhou, Deren Yang, Mingsheng Xu, Liwei Liu and Bing Gu. Their work appears in journals such as Advanced Materials, Nature Communications and Nature Materials.
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.