Bin Fu
Impact in
- General Engineering top 5%
- Civil and Geotechnical Engineering Research
- Mechanical Engineering top 10%
- Railway Engineering and Dynamics
Papers in
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- Railway Engineering and Dynamics 10
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- Mechanical stress and fatigue analysis 7
- Rock Mechanics and Modeling 5
- Co-authors
- Stefano Bruni (12 shared papers)Sebastian Stichel (2 shared papers)Chun’an Tang (4 shared papers)Lihua Hu (2 shared papers)R.M. Goodall (1 shared paper)Rickard Persson (1 shared paper)Binbin Liu (4 shared papers)Shihui Luo (2 shared papers)
In The Last Decade
Bin Fu
25 papers receiving 349 citations
Peers
Comparison fields: 5 of 44
- General Engineering 34
- Mechanical Engineering 231
- Automotive Engineering 74
- Mechanics of Materials 128
- Civil and Structural Engineering 104
Countries citing papers authored by Bin Fu
This map shows the geographic impact of Bin 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 Bin Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Fu more than expected).
Fields of papers citing papers by Bin Fu
This network shows the impact of papers produced by Bin 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 Bin Fu. The network helps show where Bin Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 88 | |
| 2 | 2020 | 50 | |
| 3 | 2019 | 35 | |
| 4 | 2022 | 26 | |
| 5 | 2021 | 22 | |
| 6 | 2020 | 20 | |
| 7 | 2014 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2009 | 11 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 6 | |
| 14 | 2008 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2014 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2007 | 3 | |
| 20 | 2015 | 2 |
About Bin Fu
Bin Fu is a scholar working on Mechanical Engineering, Mechanics of Materials, Civil and Structural Engineering, Automotive Engineering and Aerospace Engineering, having authored 28 papers that have together received 354 indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (10 papers), Mechanical stress and fatigue analysis (7 papers), Rock Mechanics and Modeling (5 papers), High-Temperature Coating Behaviors (4 papers), Metal Alloys Wear and Properties (3 papers), Vehicle Dynamics and Control Systems (3 papers), Landslides and related hazards (3 papers) and Vibration Control and Rheological Fluids (3 papers). The work is most often cited by research in General Engineering (34 citations), Mechanical Engineering (231 citations), Automotive Engineering (74 citations), Mechanics of Materials (128 citations) and Civil and Structural Engineering (104 citations). Bin Fu has collaborated with scholars based in China, Italy and Germany. Frequent co-authors include Stefano Bruni, Sebastian Stichel, Chun’an Tang, Lihua Hu, R.M. Goodall, Rickard Persson, Binbin Liu, Shihui Luo, Egidio Di Gialleonardo and Dingyong He. Their work appears in journals such as Vehicle System Dynamics, Wear, Applied Sciences, Surface Engineering and International Journal of Rock Mechanics and Mining Sciences.
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.