Enrui Zhang

About

Enrui Zhang is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Enrui Zhang has authored 26 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 7 papers in Electrical and Electronic Engineering and 6 papers in Materials Chemistry. Recurrent topics in Enrui Zhang’s work include Model Reduction and Neural Networks (8 papers), Elasticity and Material Modeling (3 papers) and Machine Learning in Materials Science (3 papers). Enrui Zhang is often cited by papers focused on Model Reduction and Neural Networks (8 papers), Elasticity and Material Modeling (3 papers) and Machine Learning in Materials Science (3 papers). Enrui Zhang collaborates with scholars based in United States, China and Singapore. Enrui Zhang's co-authors include George Em Karniadakis, Subra Suresh, Ming Dao, Ruobing Bai, Zhigang Suo, Xavier Morelle, Minglang Yin, Horacio D. Espinosa, Yuri Bazilevs and Vikas Srivastava and has published in prestigious journals such as Advanced Materials, The Journal of Chemical Physics and Applied Physics Letters.

In The Last Decade

Co-authorship network of co-authors of Enrui Zhang i

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Fields of papers citing papers by Enrui Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Enrui Zhang

Since Specialization

Citations

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