Ming‐Hui Fu
Impact in
- Mechanical Engineering top 1%
- Cellular and Composite Structures
- Advanced Materials and Mechanics
- Polymers and Plastics top 5%
- Polymer composites and self-healing
Papers in
-
- Cellular and Composite Structures 28
- Advanced Materials and Mechanics 7
-
- Automotive and Human Injury Biomechanics 14
- Co-authors
- Lingling Hu (14 shared papers)Binbin Zheng (11 shared papers)Yu Chen (5 shared papers)Yu Chen (1 shared paper)Fengming Liu (2 shared papers)Rongchang Zhong (5 shared papers)Xuan Chen (2 shared papers)Tongxi Yu (1 shared paper)
In The Last Decade
Ming‐Hui Fu
35 papers receiving 1.8k citations
Ming‐Hui Fu's Hit Papers
Peers
Comparison fields: 5 of 65
- Mechanical Engineering 1.6k
- Polymers and Plastics 315
- Civil and Structural Engineering 456
- Pulmonary and Respiratory Medicine 390
- Automotive Engineering 140
Countries citing papers authored by Ming‐Hui Fu
This map shows the geographic impact of Ming‐Hui 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 Ming‐Hui Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Hui Fu more than expected).
Fields of papers citing papers by Ming‐Hui Fu
This network shows the impact of papers produced by Ming‐Hui 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 Ming‐Hui Fu. The network helps show where Ming‐Hui Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Hui 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A novel auxetic honeycomb with enhanced in-plane stiffness and buckling strength Hit paper breakdown → | 2016 | 275 |
| 2 | 2018 | 215 | |
| 3 | 2017 | 135 | |
| 4 | 2015 | 131 | |
| 5 | 2019 | 122 | |
| 6 | 2017 | 111 | |
| 7 | 2019 | 86 | |
| 8 | 2018 | 78 | |
| 9 | 2017 | 75 | |
| 10 | 2019 | 61 | |
| 11 | 2016 | 47 | |
| 12 | 2021 | 42 | |
| 13 | 2020 | 36 | |
| 14 | 2017 | 35 | |
| 15 | 2018 | 33 | |
| 16 | 2020 | 33 | |
| 17 | 2017 | 32 | |
| 18 | 2019 | 30 | |
| 19 | 2023 | 28 | |
| 20 | 2021 | 27 |
About Ming‐Hui Fu
Ming‐Hui Fu is a scholar working on Mechanical Engineering, Pulmonary and Respiratory Medicine, Biomedical Engineering, Computational Mechanics and Materials Chemistry, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular and Composite Structures (28 papers), Automotive and Human Injury Biomechanics (14 papers), Fluid Dynamics Simulations and Interactions (7 papers), Advanced Materials and Mechanics (7 papers), Elasticity and Material Modeling (6 papers), Acoustic Wave Phenomena Research (4 papers), Polymer composites and self-healing (4 papers) and Structural Analysis and Optimization (2 papers). The work is most often cited by research in Mechanical Engineering (1.6k citations), Polymers and Plastics (315 citations), Civil and Structural Engineering (456 citations), Pulmonary and Respiratory Medicine (390 citations) and Automotive Engineering (140 citations). Ming‐Hui Fu has collaborated with scholars based in China, Hong Kong and Russia. Frequent co-authors include Lingling Hu, Binbin Zheng, Yu Chen, Yu Chen, Fengming Liu, Rongchang Zhong, Xuan Chen, Tongxi Yu, Yu Chen and Wenzhi Zhang. Their work appears in journals such as Composite Structures, Smart Materials and Structures, Advanced Engineering Materials, Review of Scientific Instruments and AIAA Journal.
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.