Mao Su

About

Mao Su is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Mao Su has authored 20 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Mao Su’s work include Machine Learning in Materials Science (5 papers), Advanced Battery Materials and Technologies (2 papers) and Geophysical and Geoelectrical Methods (2 papers). Mao Su is often cited by papers focused on Machine Learning in Materials Science (5 papers), Advanced Battery Materials and Technologies (2 papers) and Geophysical and Geoelectrical Methods (2 papers). Mao Su collaborates with scholars based in China, United States and Hong Kong. Mao Su's co-authors include Yanting Wang, Zhijie Xu, Donald R. Baer, Chongmin Wang, Zihua Zhu, Jun-Gang Wang, Yanyan Zhang, Xiaofei Yu, Kang Xu and Oleg Borodin and has published in prestigious journals such as Nature Materials, Nature Communications and Nature Nanotechnology.

In The Last Decade

Co-authorship network of co-authors of Mao Su i

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Fields of papers citing papers by Mao Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mao Su

Since Specialization

Citations

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