Stretchable and highly sensitive graphene-on-polymer strain sensors
- Authors
- Xiao LiRujing ZhangWenjian YuKunlin WangJinquan Wei
- Journal
- Scientific Reports
In The Last Decade
doi.org/10.1038/srep00870 →Countries where authors are citing Stretchable and highly sensitive graphene-on-polymer strain sensors
This map shows the geographic impact of Stretchable and highly sensitive graphene-on-polymer strain sensors. 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 Stretchable and highly sensitive graphene-on-polymer strain sensors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stretchable and highly sensitive graphene-on-polymer strain sensors more than expected).
Fields of papers citing Stretchable and highly sensitive graphene-on-polymer strain sensors
This network shows the impact of Stretchable and highly sensitive graphene-on-polymer strain sensors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Stretchable and highly sensitive graphene-on-polymer strain sensors.
About Stretchable and highly sensitive graphene-on-polymer strain sensors
This paper, published in 2012, received 544 indexed citations . Written by Xiao Li, Rujing Zhang, Wenjian Yu, Kunlin Wang, Jinquan Wei, Dehai Wu, Anyuan Cao, Zhihong Li, Cheng Yao and Quanshui Zheng covering the research area of Polymers and Plastics, Biomedical Engineering and Electrical and Electronic Engineering. It is primarily cited by scholars working on Biomedical Engineering (484 citations), Polymers and Plastics (237 citations) and Electrical and Electronic Engineering (211 citations). Published in Scientific Reports.
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.
This paper is also available at doi.org/10.1038/srep00870.