Graphene/MoS2 Hybrid Technology for Large-Scale Two-Dimensional Electronics
- Journal
- Nano Letters
In The Last Decade
doi.org/10.1021/nl404795z →Countries where authors are citing Graphene/MoS2 Hybrid Technology for Large-Scale Two-Dimensional Electronics
This map shows the geographic impact of Graphene/MoS2 Hybrid Technology for Large-Scale Two-Dimensional Electronics. 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 Graphene/MoS2 Hybrid Technology for Large-Scale Two-Dimensional Electronics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graphene/MoS2 Hybrid Technology for Large-Scale Two-Dimensional Electronics more than expected).
Fields of papers citing Graphene/MoS2 Hybrid Technology for Large-Scale Two-Dimensional Electronics
This network shows the impact of Graphene/MoS2 Hybrid Technology for Large-Scale Two-Dimensional Electronics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Graphene/MoS2 Hybrid Technology for Large-Scale Two-Dimensional Electronics.
About Graphene/MoS2 Hybrid Technology for Large-Scale Two-Dimensional Electronics
This paper, published in 2014, received 556 indexed citations . Written by Lili Yu, Yi‐Hsien Lee, Xi Ling, Elton J. G. Santos, Yong Cheol Shin, Yuxuan Lin, Madan Dubey, Efthimios Kaxiras, Jing Kong and Han Wang covering the research area of Materials Chemistry and Biomedical Engineering. It is primarily cited by scholars working on Materials Chemistry (519 citations), Electrical and Electronic Engineering (182 citations) and Biomedical Engineering (118 citations). Published in Nano Letters.
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/10.1021/nl404795z.