Ying Yuan

28 papers and 389 indexed citations i.

About

Ying Yuan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Ying Yuan has authored 28 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Ying Yuan’s work include Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Remote Sensing and Land Use (3 papers). Ying Yuan is often cited by papers focused on Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Remote Sensing and Land Use (3 papers). Ying Yuan collaborates with scholars based in China, South Korea and United States. Ying Yuan's co-authors include Michael Krüger, Michael Niggemann, G. Urban, Hans‐Frieder Schleiermacher, Yunfei Zhou, Yueting Zhuang, Fei Wu, Jun‐Ho Huh, Xuefeng Wang and Gai Zhang and has published in prestigious journals such as Applied Physics Letters, Frontiers in Plant Science and Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Ying Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Yuan

Since Specialization
Citations

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