Silicon oxides: a promising family of anode materials for lithium-ion batteries

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This paper, published in 1950, received 855 indexed citations. Written by Zhenhui Liu, Qiang Yu, Yunlong Zhao, Ruhan He, Ming Xu, Shihao Feng, Shidong Li, Liang Zhou and Liqiang Mai 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 (817 citations), Electronic, Optical and Magnetic Materials (431 citations) and Automotive Engineering (234 citations). Published in Chemical Society Reviews.

Countries where authors are citing Silicon oxides: a promising family of anode materials for lithium-ion batteries

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This map shows the geographic impact of Silicon oxides: a promising family of anode materials for lithium-ion batteries. 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 Silicon oxides: a promising family of anode materials for lithium-ion batteries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silicon oxides: a promising family of anode materials for lithium-ion batteries more than expected).

Fields of papers citing Silicon oxides: a promising family of anode materials for lithium-ion batteries

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Silicon oxides: a promising family of anode materials for lithium-ion batteries. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Silicon oxides: a promising family of anode materials for lithium-ion batteries.

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/c8cs00441b.

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