Shuangye Yin

33 papers and 1.7k indexed citations i.

About

Shuangye Yin is a scholar working on Molecular Biology, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Shuangye Yin has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Materials Chemistry and 8 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Shuangye Yin’s work include Protein Structure and Dynamics (12 papers), Physics of Superconductivity and Magnetism (7 papers) and Machine Learning in Materials Science (6 papers). Shuangye Yin is often cited by papers focused on Protein Structure and Dynamics (12 papers), Physics of Superconductivity and Magnetism (7 papers) and Machine Learning in Materials Science (6 papers). Shuangye Yin collaborates with scholars based in United States, China and India. Shuangye Yin's co-authors include Nikolay V. Dokholyan, Xiaoshan Xu, Ramiro Moro, Walt A. de Heer, Feng Ding, Jijun Zhao, Guanghou Wang, Baolin Wang, Lada Biedermannová and Jiřı́ Vondrášek and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Co-authorship network of co-authors of Shuangye Yin i

Fields of papers citing papers by Shuangye Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuangye Yin

Since Specialization
Citations

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