Xiaoxi Wei
Impact in
- Numerical Analysis top 10%
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
- RNA Research and Splicing 3
- Genetics 7
- Connective tissue disorders research 4
- Co-authors
- Dominik Schötzau (2 shared papers)Chen Greif (1 shared paper)Dan Li (1 shared paper)Min Hu (10 shared papers)Fei Liu (6 shared papers)Yuji Mishina (5 shared papers)Paul Houston (2 shared papers)A. Aldo Faisal (3 shared papers)
- Journals
- Cryobiology (3 papers)Nature Communications (2 papers)American Journal of Transplantation (2 papers)Bone (2 papers)Journal of Bone and Mineral Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoxi Wei
39 papers receiving 709 citations
Peers
Comparison fields: 5 of 109
- Numerical Analysis 48
- Computational Mechanics 172
- Biomaterials 59
- Molecular Biology 260
- Immunology and Allergy 17
Countries citing papers authored by Xiaoxi Wei
This map shows the geographic impact of Xiaoxi Wei'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 Xiaoxi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxi Wei more than expected).
Fields of papers citing papers by Xiaoxi Wei
This network shows the impact of papers produced by Xiaoxi Wei. 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 Xiaoxi Wei. The network helps show where Xiaoxi Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxi Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 123 | |
| 2 | 2016 | 84 | |
| 3 | 2016 | 60 | |
| 4 | 2016 | 58 | |
| 5 | 2009 | 52 | |
| 6 | 2017 | 49 | |
| 7 | 2018 | 45 | |
| 8 | 2014 | 31 | |
| 9 | 2012 | 27 | |
| 10 | 2021 | 25 | |
| 11 | 2012 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2019 | 18 | |
| 14 | 2014 | 13 | |
| 15 | 2023 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2024 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2013 | 7 |
About Xiaoxi Wei
Xiaoxi Wei is a scholar working on Molecular Biology, Genetics, Electrical and Electronic Engineering, Computational Mechanics and Mechanics of Materials, having authored 46 papers that have together received 733 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Connective tissue disorders research (4 papers), Advanced Memory and Neural Computing (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), RNA Research and Splicing (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). The work is most often cited by research in Numerical Analysis (48 citations), Computational Mechanics (172 citations), Biomaterials (59 citations), Molecular Biology (260 citations) and Immunology and Allergy (17 citations). Xiaoxi Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dominik Schötzau, Chen Greif, Dan Li, Min Hu, Fei Liu, Yuji Mishina, Paul Houston, A. Aldo Faisal, Jun‐Lin Guan and Mark Kline. Their work appears in journals such as Cryobiology, Nature Communications, American Journal of Transplantation, Bone and Journal of Bone and Mineral 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.