Mingjian Wen

24 papers and 542 indexed citations i.

About

Mingjian Wen is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Mingjian Wen has authored 24 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 8 papers in Computational Theory and Mathematics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Mingjian Wen’s work include Machine Learning in Materials Science (16 papers), Computational Drug Discovery Methods (8 papers) and Nuclear Materials and Properties (4 papers). Mingjian Wen is often cited by papers focused on Machine Learning in Materials Science (16 papers), Computational Drug Discovery Methods (8 papers) and Nuclear Materials and Properties (4 papers). Mingjian Wen collaborates with scholars based in United States, China and Luxembourg. Mingjian Wen's co-authors include Ellad B. Tadmor, Kristin A. Persson, Samuel M. Blau, Evan Walter Clark Spotte‐Smith, Shyam Dwaraknath, Efthimios Kaxiras, Xiaowei Xie, Ryan S. Elliott, Hetal D. Patel and Xu Chen and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Journal of Applied Physics.

In The Last Decade

Co-authorship network of co-authors of Mingjian Wen i

Fields of papers citing papers by Mingjian Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingjian Wen

Since Specialization
Citations

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