Ying Fu
Impact in
- Mechanical Engineering top 10%
- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
- Aluminum Alloys Composites Properties
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
Papers in
-
- Quasicrystal Structures and Properties 5
- Graphene research and applications 3
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- Additive Manufacturing Materials and Processes 4
- High Entropy Alloys Studies 4
- Co-authors
- Nan Kang (4 shared papers)Christian Coddet (3 shared papers)Pierre Coddet (2 shared papers)Hanlin Liao (2 shared papers)Bruno Guelorget (1 shared paper)Bing-Bing Lu (3 shared papers)Qingyun Zhao (2 shared papers)H. Liao (1 shared paper)
In The Last Decade
Ying Fu
33 papers receiving 437 citations
Peers
Comparison fields: 5 of 67
- Mechanical Engineering 200
- Automotive Engineering 59
- Materials Chemistry 204
- Renewable Energy, Sustainability and the Environment 70
- Geochemistry and Petrology 17
Countries citing papers authored by Ying Fu
This map shows the geographic impact of Ying Fu'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 Ying Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Fu more than expected).
Fields of papers citing papers by Ying Fu
This network shows the impact of papers produced by Ying Fu. 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 Ying Fu. The network helps show where Ying Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Fu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 78 | |
| 2 | 2018 | 48 | |
| 3 | 2024 | 40 | |
| 4 | 2017 | 34 | |
| 5 | 2017 | 33 | |
| 6 | 2017 | 30 | |
| 7 | 2013 | 23 | |
| 8 | 2016 | 19 | |
| 9 | 2021 | 19 | |
| 10 | 2024 | 12 | |
| 11 | 2010 | 12 | |
| 12 | 2014 | 11 | |
| 13 | 2011 | 11 | |
| 14 | 2015 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 7 | |
| 17 | 2008 | 7 | |
| 18 | 2020 | 5 | |
| 19 | 2005 | 4 | |
| 20 | 2016 | 3 |
About Ying Fu
Ying Fu is a scholar working on Materials Chemistry, Mechanical Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Mechanics of Materials, having authored 37 papers that have together received 441 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (7 papers), Quasicrystal Structures and Properties (5 papers), Additive Manufacturing Materials and Processes (4 papers), Metal and Thin Film Mechanics (4 papers), Advancements in Battery Materials (4 papers), High Entropy Alloys Studies (4 papers), Supercapacitor Materials and Fabrication (3 papers) and Graphene research and applications (3 papers). The work is most often cited by research in Mechanical Engineering (200 citations), Automotive Engineering (59 citations), Materials Chemistry (204 citations), Renewable Energy, Sustainability and the Environment (70 citations) and Geochemistry and Petrology (17 citations). Ying Fu has collaborated with scholars based in China, France and Japan. Frequent co-authors include Nan Kang, Christian Coddet, Pierre Coddet, Hanlin Liao, Bruno Guelorget, Bing-Bing Lu, Qingyun Zhao, H. Liao, Mohammed Mansori and Eric Aubry. Their work appears in journals such as Surface and Coatings Technology, Diamond and Related Materials, Materials & Design, Applied Surface Science and Ionics.
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.