Dawei Wang
Impact in
- Mechanical Engineering top 5%
- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
- Intermetallics and Advanced Alloy Properties
- Advanced materials and composites
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
Papers in
-
- Additive Manufacturing Materials and Processes 19
- High Entropy Alloys Studies 12
- Intermetallics and Advanced Alloy Properties 6
- Aluminum Alloys Composites Properties 3
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- Titanium Alloys Microstructure and Properties 7
- Co-authors
- Ming Yan (14 shared papers)Yinghao Zhou (8 shared papers)Wei Li (2 shared papers)Thomas Ebel (3 shared papers)Hui‐Yuan Wang (2 shared papers)Dongsong Wei (1 shared paper)Shuyi Li (1 shared paper)Jinguo Wang (1 shared paper)
In The Last Decade
Dawei Wang
30 papers receiving 892 citations
Peers
Comparison fields: 5 of 49
- Mechanical Engineering 721
- Automotive Engineering 213
- Surfaces, Coatings and Films 104
- Materials Chemistry 387
- Biomaterials 69
Countries citing papers authored by Dawei Wang
This map shows the geographic impact of Dawei Wang'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 Dawei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Wang more than expected).
Fields of papers citing papers by Dawei Wang
This network shows the impact of papers produced by Dawei Wang. 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 Dawei Wang. The network helps show where Dawei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei Wang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 140 | |
| 2 | 2020 | 128 | |
| 3 | 2020 | 96 | |
| 4 | 2019 | 71 | |
| 5 | 2019 | 68 | |
| 6 | 2021 | 61 | |
| 7 | 2021 | 50 | |
| 8 | 2020 | 43 | |
| 9 | 2020 | 36 | |
| 10 | 2023 | 31 | |
| 11 | 2022 | 29 | |
| 12 | 2018 | 29 | |
| 13 | 2023 | 21 | |
| 14 | 2022 | 18 | |
| 15 | 2022 | 16 | |
| 16 | 2023 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2025 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2022 | 7 |
About Dawei Wang
Dawei Wang is a scholar working on Mechanical Engineering, Materials Chemistry, Automotive Engineering, Biomedical Engineering and Biomaterials, having authored 31 papers that have together received 911 indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (19 papers), High Entropy Alloys Studies (12 papers), Titanium Alloys Microstructure and Properties (7 papers), Additive Manufacturing and 3D Printing Technologies (7 papers), Intermetallics and Advanced Alloy Properties (6 papers), Aluminum Alloys Composites Properties (3 papers), Magnesium Alloys: Properties and Applications (3 papers) and High-Temperature Coating Behaviors (2 papers). The work is most often cited by research in Mechanical Engineering (721 citations), Automotive Engineering (213 citations), Surfaces, Coatings and Films (104 citations), Materials Chemistry (387 citations) and Biomaterials (69 citations). Dawei Wang has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Ming Yan, Yinghao Zhou, Wei Li, Thomas Ebel, Hui‐Yuan Wang, Dongsong Wei, Shuyi Li, Jinguo Wang, Yan Liu and L. Zhang. Their work appears in journals such as Materials Science and Engineering A, Advanced Engineering Materials, Journal of Alloys and Compounds, JOM and International Journal of Refractory Metals and Hard Materials.
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.