Bin Wei
Impact in
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- Enzyme Production and Characterization
Papers in
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- Glycosylation and Glycoproteins Research 3
- Co-authors
- Hao Liang (13 shared papers)Chao Shi (1 shared paper)Wen Zhang (1 shared paper)Ying Zhang (1 shared paper)Huiling Gao (2 shared papers)Lin Zhang (2 shared papers)Qipeng Yuan (2 shared papers)Xiaojie Liu (4 shared papers)
- Journals
- IEEE Transactions on Applied Superconductivity (3 papers)Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology (3 papers)Biochemical Engineering Journal (3 papers)Physica C Superconductivity (2 papers)Tribology Transactions (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Wei
51 papers receiving 547 citations
Peers
Comparison fields: 5 of 85
- Biotechnology 35
- Pharmacology 33
- Polymers and Plastics 45
- Biomedical Engineering 136
- Horticulture 3
Countries citing papers authored by Bin Wei
This map shows the geographic impact of Bin 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 Bin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Wei more than expected).
Fields of papers citing papers by Bin Wei
This network shows the impact of papers produced by Bin 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 Bin Wei. The network helps show where Bin Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 2021 | 38 | |
| 3 | 2021 | 31 | |
| 4 | 2022 | 26 | |
| 5 | 2023 | 25 | |
| 6 | 2014 | 24 | |
| 7 | 2019 | 23 | |
| 8 | 2014 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2013 | 20 | |
| 11 | 2024 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 2021 | 15 | |
| 14 | 2024 | 14 | |
| 15 | 2023 | 14 | |
| 16 | 2014 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2016 | 12 | |
| 20 | 2014 | 11 |
About Bin Wei
Bin Wei is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Mechanical Engineering, Materials Chemistry and Biomedical Engineering, having authored 53 papers that have together received 558 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (9 papers), Adhesion, Friction, and Surface Interactions (6 papers), Physics of Superconductivity and Magnetism (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), Brake Systems and Friction Analysis (4 papers), Enzyme Production and Characterization (4 papers), High voltage insulation and dielectric phenomena (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Biotechnology (35 citations), Pharmacology (33 citations), Polymers and Plastics (45 citations), Biomedical Engineering (136 citations) and Horticulture (3 citations). Bin Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hao Liang, Chao Shi, Wen Zhang, Ying Zhang, Huiling Gao, Lin Zhang, Qipeng Yuan, Xiaojie Liu, Jianbin Luo and Izhak Bucher. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology, Biochemical Engineering Journal, Physica C Superconductivity and Tribology Transactions.
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.