Graphene Quantum Dots Derived from Carbon Fibers
- Authors
- Juan PengWei GaoBipin Kumar GuptaZheng LiuLiehui Ge
- Journal
- Nano Letters
In The Last Decade
doi.org/10.1021/nl2038979 →Countries where authors are citing Graphene Quantum Dots Derived from Carbon Fibers
This map shows the geographic impact of Graphene Quantum Dots Derived from Carbon Fibers. 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 Quantum Dots Derived from Carbon Fibers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graphene Quantum Dots Derived from Carbon Fibers more than expected).
Fields of papers citing Graphene Quantum Dots Derived from Carbon Fibers
This network shows the impact of Graphene Quantum Dots Derived from Carbon Fibers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Graphene Quantum Dots Derived from Carbon Fibers.
About Graphene Quantum Dots Derived from Carbon Fibers
This paper, published in 2012, received 2.1k indexed citations . Written by Juan Peng, Wei Gao, Bipin Kumar Gupta, Zheng Liu, Liehui Ge, Li Song, Lawrence B. Alemany, Xiaobo Zhan, Guanhui Gao and Sajna Antony Vithayathil covering the research area of Materials Chemistry and Biomedical Engineering. It is primarily cited by scholars working on Materials Chemistry (1.9k citations), Biomedical Engineering (706 citations) and Molecular Biology (292 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/nl2038979.