Xiaojun Wei
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
- Materials Chemistry top 5%
- Carbon Nanotubes in Composites
- Graphene research and applications
Papers in
-
- Carbon Nanotubes in Composites 35
- Graphene research and applications 24
-
- Nanopore and Nanochannel Transport Studies 15
- Nanowire Synthesis and Applications 3
- Co-authors
- Hiromichi Kataura (19 shared papers)Takeshi Tanaka (12 shared papers)Yohei Yomogida (6 shared papers)Zhengzong Sun (1 shared paper)Xiaojuan Wang (1 shared paper)Dong Li (1 shared paper)Wei Jiang (1 shared paper)Zengxing Zhang (1 shared paper)
In The Last Decade
Xiaojun Wei
41 papers receiving 1.4k citations
Xiaojun Wei's Hit Papers
Peers
Comparison fields: 5 of 73
- Automotive Engineering 251
- Materials Chemistry 943
- Biomedical Engineering 725
- Polymers and Plastics 133
- Nuclear Energy and Engineering 4
Countries citing papers authored by Xiaojun Wei
This map shows the geographic impact of Xiaojun 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 Xiaojun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Wei more than expected).
Fields of papers citing papers by Xiaojun Wei
This network shows the impact of papers produced by Xiaojun 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 Xiaojun Wei. The network helps show where Xiaojun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojun 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 3D Printable Graphene Composite Hit paper breakdown → | 2015 | 388 |
| 2 | 2016 | 184 | |
| 3 | 2016 | 121 | |
| 4 | 2022 | 86 | |
| 5 | 2006 | 85 | |
| 6 | 2021 | 51 | |
| 7 | 2023 | 46 | |
| 8 | 2018 | 43 | |
| 9 | 2020 | 38 | |
| 10 | 2022 | 38 | |
| 11 | 2019 | 37 | |
| 12 | 2017 | 35 | |
| 13 | 2016 | 33 | |
| 14 | 2023 | 29 | |
| 15 | 2020 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2022 | 17 | |
| 18 | 2024 | 16 | |
| 19 | 2017 | 15 | |
| 20 | 2017 | 12 |
About Xiaojun Wei
Xiaojun Wei is a scholar working on Materials Chemistry, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Polymers and Plastics and Electrical and Electronic Engineering, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (35 papers), Graphene research and applications (24 papers), Nanopore and Nanochannel Transport Studies (15 papers), Conducting polymers and applications (6 papers), Mechanical and Optical Resonators (6 papers), Semiconductor Quantum Structures and Devices (3 papers), Nanowire Synthesis and Applications (3 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Automotive Engineering (251 citations), Materials Chemistry (943 citations), Biomedical Engineering (725 citations), Polymers and Plastics (133 citations) and Nuclear Energy and Engineering (4 citations). Xiaojun Wei has collaborated with scholars based in China, Japan and Czechia. Frequent co-authors include Hiromichi Kataura, Takeshi Tanaka, Yohei Yomogida, Zhengzong Sun, Xiaojuan Wang, Dong Li, Wei Jiang, Zengxing Zhang, Huaping Liu and Weiya Zhou. Their work appears in journals such as Carbon, Nano Research, Nature Communications, ACS Applied Nano Materials and Japanese Journal of Applied Physics.
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.