Ben Wang
- Surfaces, Coatings and Films top 0.1%
- Surface Modification and Superhydrophobicity 19
- Condensed Matter Physics top 0.5%
- Micro and Nano Robotics 37
- Polymers and Plastics top 0.5%
- Biomedical Engineering top 0.2%
- Advanced Sensor and Energy Harvesting Materials 24
- Materials Chemistry top 1%
- Carbon Nanotubes in Composites 41
- Graphene research and applications 17
- Pickering emulsions and particle stabilization 14
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- Fiber-reinforced polymer composites 14
- Modular Robots and Swarm Intelligence 12
- Co-authors
- Zhiguang GuoChuck ZhangLi ZhangZhiyong LiangWeixin LiangWeimin LiuRichard LiangShiren Wang
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ben Wang
167 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Surfaces, Coatings and Films 1.9k
- Condensed Matter Physics 1.8k
- Polymers and Plastics 1.6k
- Biomedical Engineering 4.2k
- Materials Chemistry 3.4k
Countries citing papers authored by Ben Wang
This map shows the geographic impact of Ben 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 Ben Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Wang more than expected).
Fields of papers citing papers by Ben Wang
This network shows the impact of papers produced by Ben 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 Ben Wang. The network helps show where Ben Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ben 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 38 | |
| 12 | 2022 | 42 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 16 | |
| 15 | 2021 | 44 | |
| 16 | 2020 | 83 | |
| 17 | 2018 | 40 | |
| 18 | 2018 | 77 | |
| 19 | 2017 | 2 | |
| 20 | Characterization of the Triboluminescence Performance of ZnS:Mn Under Repeated Mechanical Loading for Smart Optical Damage Sensor System | 2010 | 2 |
About Ben Wang
Ben Wang is a scholar working on Condensed Matter Physics, Surfaces, Coatings and Films, Materials Chemistry, Biomedical Engineering and Polymers and Plastics, having authored 172 papers that have together received 9.5k indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (41 papers), Micro and Nano Robotics (37 papers), Advanced Sensor and Energy Harvesting Materials (24 papers), Surface Modification and Superhydrophobicity (19 papers), Graphene research and applications (17 papers), Fiber-reinforced polymer composites (14 papers), Pickering emulsions and particle stabilization (14 papers) and Modular Robots and Swarm Intelligence (12 papers). The work is most often cited by research in Surfaces, Coatings and Films (1.9k citations), Condensed Matter Physics (1.8k citations), Polymers and Plastics (1.6k citations), Biomedical Engineering (4.2k citations) and Materials Chemistry (3.4k citations). Ben Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiguang Guo, Chuck Zhang, Li Zhang, Zhiyong Liang, Weixin Liang, Weimin Liu, Richard Liang, Shiren Wang, Qianqian Wang and Jiangfan Yu. Their work appears in journals such as Nanotechnology, Carbon, Advanced Functional Materials, ACS Nano and Composites Part B Engineering.
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.