Yunwen Lei

47 papers and 285 indexed citations i.

About

Yunwen Lei is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yunwen Lei has authored 47 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 23 papers in Computational Mechanics and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yunwen Lei’s work include Sparse and Compressive Sensing Techniques (21 papers), Stochastic Gradient Optimization Techniques (15 papers) and Machine Learning and Algorithms (11 papers). Yunwen Lei is often cited by papers focused on Sparse and Compressive Sensing Techniques (21 papers), Stochastic Gradient Optimization Techniques (15 papers) and Machine Learning and Algorithms (11 papers). Yunwen Lei collaborates with scholars based in China, Hong Kong and United States. Yunwen Lei's co-authors include Ding‐Xuan Zhou, Ke Tang, Marius Kloft, Lixin Ding, Ting Hu, Ürün Doǧan, Wensheng Zhang, Yiming Ying, Alexander Binder and Bo Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Yunwen Lei i

Fields of papers citing papers by Yunwen Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunwen Lei

Since Specialization
Citations

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