Feiyun Wang
Impact in
- General Materials Science top 10%
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- Welding Techniques and Residual Stresses
- Advanced Welding Techniques Analysis
- Additive Manufacturing Materials and Processes
- Advanced machining processes and optimization
Papers in
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- Welding Techniques and Residual Stresses 10
- Advanced Welding Techniques Analysis 7
- Additive Manufacturing Materials and Processes 6
- Advanced machining processes and optimization 4
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- Angiogenesis and VEGF in Cancer 5
- Co-authors
- Xiaohong Zhan (16 shared papers)Hengchang Bu (13 shared papers)Pingze Zhang (5 shared papers)Liuqing Yang (6 shared papers)Jiange Zhang (7 shared papers)Pei Zhang (5 shared papers)Qiyu Gao (2 shared papers)Guo‐Qiang Lin (6 shared papers)
In The Last Decade
Feiyun Wang
33 papers receiving 420 citations
Peers
Comparison fields: 5 of 74
- General Materials Science 15
- Mechanical Engineering 160
- Mechanics of Materials 76
- Neurology 19
- Metals and Alloys 6
Countries citing papers authored by Feiyun Wang
This map shows the geographic impact of Feiyun 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 Feiyun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiyun Wang more than expected).
Fields of papers citing papers by Feiyun Wang
This network shows the impact of papers produced by Feiyun 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 Feiyun Wang. The network helps show where Feiyun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feiyun 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 35 | |
| 2 | 2020 | 32 | |
| 3 | 2020 | 32 | |
| 4 | 2022 | 29 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2022 | 21 | |
| 8 | 2024 | 18 | |
| 9 | 2024 | 17 | |
| 10 | 2023 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2020 | 15 | |
| 13 | 2022 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2020 | 8 | |
| 20 | 2024 | 7 |
About Feiyun Wang
Feiyun Wang is a scholar working on Mechanical Engineering, Molecular Biology, Mechanics of Materials, Computational Mechanics and Cancer Research, having authored 35 papers that have together received 423 indexed citations. Recurring topics across this work include Welding Techniques and Residual Stresses (10 papers), Mechanical Behavior of Composites (9 papers), Advanced Welding Techniques Analysis (7 papers), Additive Manufacturing Materials and Processes (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Advanced machining processes and optimization (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Laser Material Processing Techniques (3 papers). The work is most often cited by research in General Materials Science (15 citations), Mechanical Engineering (160 citations), Mechanics of Materials (76 citations), Neurology (19 citations) and Metals and Alloys (6 citations). Feiyun Wang has collaborated with scholars based in China and Japan. Frequent co-authors include Xiaohong Zhan, Hengchang Bu, Pingze Zhang, Liuqing Yang, Jiange Zhang, Pei Zhang, Jiange Zhang, Qiyu Gao, Guo‐Qiang Lin and Yuying Zhu. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Optics & Laser Technology, Journal of Polymer Engineering, Journal of Materials Science and Biomedicine & Pharmacotherapy.
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.