Nan Xu

49 papers and 5.1k indexed citations i.

About

Nan Xu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Nan Xu has authored 49 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 12 papers in Electrical and Electronic Engineering and 8 papers in Molecular Biology. Recurrent topics in Nan Xu’s work include Machine Learning in Materials Science (8 papers), Shape Memory Alloy Transformations (7 papers) and Advancements in Battery Materials (4 papers). Nan Xu is often cited by papers focused on Machine Learning in Materials Science (8 papers), Shape Memory Alloy Transformations (7 papers) and Advancements in Battery Materials (4 papers). Nan Xu collaborates with scholars based in China, United States and France. Nan Xu's co-authors include Gang Tang, W. T. Geng, Vei Wang, Jincheng Liu, Yi He, Xingwang Zhang, Shaoyun Hao, Lecheng Lei, Xiangnan Liu and Xiaoli Tan and has published in prestigious journals such as Nature Communications, Journal of Applied Physics and Chemistry of Materials.

In The Last Decade

Co-authorship network of co-authors of Nan Xu i

Fields of papers citing papers by Nan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan Xu. 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 Nan Xu. The network helps show where Nan Xu may publish in the future.

Countries citing papers authored by Nan Xu

Since Specialization
Citations

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