Xin Ai

24 papers and 1.3k indexed citations i.

About

Xin Ai is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Xin Ai has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 6 papers in Biomedical Engineering and 6 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Xin Ai’s work include Advancements in Battery Materials (13 papers), Advanced Battery Materials and Technologies (13 papers) and Supercapacitor Materials and Fabrication (6 papers). Xin Ai is often cited by papers focused on Advancements in Battery Materials (13 papers), Advanced Battery Materials and Technologies (13 papers) and Supercapacitor Materials and Fabrication (6 papers). Xin Ai collaborates with scholars based in China, United States and Denmark. Xin Ai's co-authors include Han Yang, Yu Cao, Ding Yuan, Zhongxue Chen, Jiangfeng Qian, Ting Li, Lei Li, Hui Yang, Wei He and Shengmin Zhang and has published in prestigious journals such as Nature Communications, Chemistry of Materials and Journal of Power Sources.

In The Last Decade

Co-authorship network of co-authors of Xin Ai i

Fields of papers citing papers by Xin Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin Ai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xin Ai. The network helps show where Xin Ai may publish in the future.

Countries citing papers authored by Xin Ai

Since Specialization
Citations

This map shows the geographic impact of Xin Ai's research. 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 Xin Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Ai more than expected).

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.

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2025