Wei-Yu Chen

10 papers and 170 indexed citations i.

About

Wei-Yu Chen is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Wei-Yu Chen has authored 10 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Hardware and Architecture and 4 papers in Computer Networks and Communications. Recurrent topics in Wei-Yu Chen’s work include Online Learning and Analytics (4 papers), Parallel Computing and Optimization Techniques (4 papers) and Advanced Data Storage Technologies (3 papers). Wei-Yu Chen is often cited by papers focused on Online Learning and Analytics (4 papers), Parallel Computing and Optimization Techniques (4 papers) and Advanced Data Storage Technologies (3 papers). Wei-Yu Chen collaborates with scholars based in United States and Taiwan. Wei-Yu Chen's co-authors include Katherine Yelick, Dan Bonachea, Jason Duell, Parry Husbands, Costin Iancu, Da Cao, Christopher G. Brinton, Mung Chiang, Yuxin Shi and Wen‐Tsann Lin and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Learning Technologies and eScholarship (California Digital Library).

In The Last Decade

Co-authorship network of co-authors of Wei-Yu Chen i

Fields of papers citing papers by Wei-Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Yu Chen. 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 Wei-Yu Chen. The network helps show where Wei-Yu Chen may publish in the future.

Countries citing papers authored by Wei-Yu Chen

Since Specialization
Citations

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