Graphene aerogels for efficient energy storage and conversion

622 indexed citations
published 2018

Countries where authors are citing Graphene aerogels for efficient energy storage and conversion

Specialization
Citations

This map shows the geographic impact of Graphene aerogels for efficient energy storage and conversion. 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 aerogels for efficient energy storage and conversion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graphene aerogels for efficient energy storage and conversion more than expected).

Fields of papers citing Graphene aerogels for efficient energy storage and conversion

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Graphene aerogels for efficient energy storage and conversion. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Graphene aerogels for efficient energy storage and conversion.

About Graphene aerogels for efficient energy storage and conversion

This paper, published in 2018, received 622 indexed citations . Written by Jiajun Mao, James Iocozzia, Jianying Huang, Kai Meng, Yuekun Lai and Zhiqun Lin covering the research area of Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. It is primarily cited by scholars working on Electrical and Electronic Engineering (348 citations), Electronic, Optical and Magnetic Materials (264 citations) and Materials Chemistry (204 citations). Published in Energy & Environmental Science.

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/10.1039/c7ee03031b.

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