Di Yuan

15 papers and 514 indexed citations i.

About

Di Yuan is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Di Yuan has authored 15 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Mechanical Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Di Yuan’s work include Machine Fault Diagnosis Techniques (4 papers), Advanced Neural Network Applications (4 papers) and Medical Image Segmentation Techniques (3 papers). Di Yuan is often cited by papers focused on Machine Fault Diagnosis Techniques (4 papers), Advanced Neural Network Applications (4 papers) and Medical Image Segmentation Techniques (3 papers). Di Yuan collaborates with scholars based in United States, China and United Kingdom. Di Yuan's co-authors include Jay Lee, Xiaodong Jia, Ming Zhao, Qibo Yang, Chao Jin, Li Pin, Zhenghua Xu, Thomas Lukasiewicz, Jianshe Feng and David Siegel and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Journal of Sound and Vibration and Mechanical Systems and Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Di Yuan i

Fields of papers citing papers by Di Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Di Yuan

Since Specialization
Citations

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