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
- RNA modifications and cancer 3
- Co-authors
- Dominik Schötzau (2 shared papers)Dan Li (1 shared paper)Chen Greif (1 shared paper)Min Hu (9 shared papers)Fei Liu (8 shared papers)Paul Houston (2 shared papers)Yuji Mishina (4 shared papers)Jun‐Lin Guan (3 shared papers)
- Journals
- Cryobiology (3 papers)Nature Communications (2 papers)Journal of Bone and Mineral Research (2 papers)American Journal of Transplantation (2 papers)Transgenic Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoxi Wei
38 papers receiving 683 citations
Peers
Comparison fields: 5 of 113
- Numerical Analysis 46
- Computational Mechanics 168
- Biomaterials 57
- Molecular Biology 285
- 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 121 | |
| 2 | 2016 | 83 | |
| 3 | 2016 | 58 | |
| 4 | 2016 | 57 | |
| 5 | 2009 | 49 | |
| 6 | 2017 | 45 | |
| 7 | 2018 | 45 | |
| 8 | 2014 | 30 | |
| 9 | 2012 | 27 | |
| 10 | 2021 | 23 | |
| 11 | 2012 | 22 | |
| 12 | 2021 | 20 | |
| 13 | 2019 | 16 | |
| 14 | 2014 | 13 | |
| 15 | 2021 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2024 | 10 | |
| 18 | 2014 | 7 | |
| 19 | 2013 | 7 | |
| 20 | 2023 | 6 |
About Xiaoxi Wei
Xiaoxi Wei is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Computational Mechanics, Genetics and Mechanics of Materials, having authored 43 papers that have together received 705 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (5 papers), Connective tissue disorders research (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), RNA Research and Splicing (3 papers), Numerical methods in engineering (3 papers), EEG and Brain-Computer Interfaces (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Numerical Analysis (46 citations), Computational Mechanics (168 citations), Biomaterials (57 citations), Molecular Biology (285 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, Dan Li, Chen Greif, Min Hu, Fei Liu, Paul Houston, Yuji Mishina, Jun‐Lin Guan, Mark Kline and A. Aldo Faisal. Their work appears in journals such as Cryobiology, Nature Communications, Journal of Bone and Mineral Research, American Journal of Transplantation and Transgenic 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.