Yeming Wen

6 papers and 46 indexed citations i.

About

Yeming Wen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Yeming Wen has authored 6 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Yeming Wen’s work include Advanced Neural Network Applications (4 papers), Stochastic Gradient Optimization Techniques (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Yeming Wen is often cited by papers focused on Advanced Neural Network Applications (4 papers), Stochastic Gradient Optimization Techniques (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Yeming Wen collaborates with scholars based in Canada, United States and United Kingdom. Yeming Wen's co-authors include Dustin Tran, Jimmy Ba, Roger Grosse, Ghassen Jerfel, Yi-An Ma, Katherine Heller, Jasper Snoek, Balaji Lakshminarayanan, Paul Vicol and Harris Chan and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.

In The Last Decade

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

Fields of papers citing papers by Yeming Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yeming Wen

Since Specialization
Citations

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