Mingwei Wei
Impact in
- Mechanical Engineering top 5%
- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
- Welding Techniques and Residual Stresses
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
Papers in
-
- Additive Manufacturing Materials and Processes 16
- Welding Techniques and Residual Stresses 11
- High Entropy Alloys Studies 11
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- SARS-CoV-2 and COVID-19 Research 8
- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Jing Liang (15 shared papers)Changsheng Liu (15 shared papers)Xueting Chen (15 shared papers)Mei Wang (11 shared papers)Liehuang Zhu (3 shared papers)Mingzhong Wang (3 shared papers)Meng Shen (3 shared papers)Fengcai Zhu (11 shared papers)
In The Last Decade
Mingwei Wei
43 papers receiving 895 citations
Peers
Comparison fields: 5 of 90
- Mechanical Engineering 400
- Automotive Engineering 129
- Signal Processing 86
- Computer Networks and Communications 162
- Infectious Diseases 98
Countries citing papers authored by Mingwei Wei
This map shows the geographic impact of Mingwei 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 Mingwei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingwei Wei more than expected).
Fields of papers citing papers by Mingwei Wei
This network shows the impact of papers produced by Mingwei 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 Mingwei Wei. The network helps show where Mingwei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingwei 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 156 | |
| 2 | 2020 | 80 | |
| 3 | 2018 | 73 | |
| 4 | 2018 | 70 | |
| 5 | 2015 | 57 | |
| 6 | 2016 | 54 | |
| 7 | 2016 | 49 | |
| 8 | 2017 | 46 | |
| 9 | 2016 | 40 | |
| 10 | 2019 | 38 | |
| 11 | 2019 | 29 | |
| 12 | 2019 | 25 | |
| 13 | 2021 | 24 | |
| 14 | 2019 | 19 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 13 | |
| 18 | 2020 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2019 | 9 |
About Mingwei Wei
Mingwei Wei is a scholar working on Mechanical Engineering, Infectious Diseases, Molecular Biology, Epidemiology and Automotive Engineering, having authored 48 papers that have together received 915 indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (16 papers), Welding Techniques and Residual Stresses (11 papers), High Entropy Alloys Studies (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Immunology Research (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Mechanical Engineering (400 citations), Automotive Engineering (129 citations), Signal Processing (86 citations), Computer Networks and Communications (162 citations) and Infectious Diseases (98 citations). Mingwei Wei has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Jing Liang, Changsheng Liu, Xueting Chen, Mei Wang, Liehuang Zhu, Mingzhong Wang, Meng Shen, Fengcai Zhu, Jingxin Li and L. Xi. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Optics & Laser Technology, Powder Metallurgy, Journal of Manufacturing Processes and Materials Characterization.
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.