Mingrui Wu

18 papers and 737 indexed citations i.

About

Mingrui Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Mingrui Wu has authored 18 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. Recurrent topics in Mingrui Wu’s work include Face and Expression Recognition (8 papers), Multimodal Machine Learning Applications (4 papers) and Neural Networks and Applications (4 papers). Mingrui Wu is often cited by papers focused on Face and Expression Recognition (8 papers), Multimodal Machine Learning Applications (4 papers) and Neural Networks and Applications (4 papers). Mingrui Wu collaborates with scholars based in Germany, United States and China. Mingrui Wu's co-authors include Jieping Ye, Bernhard Schölkopf, Olivier Chapelle, Zheng Zhao, Gökhan Bakır, Shipeng Yu, Kai Yu, Volker Tresp, Hans‐Peter Kriegel and Lin Xiao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research and Frontiers in Oncology.

In The Last Decade

Co-authorship network of co-authors of Mingrui Wu i

Fields of papers citing papers by Mingrui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingrui Wu

Since Specialization
Citations

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