Ying Wen

69 papers and 1.5k indexed citations i.

About

Ying Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ying Wen has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ying Wen’s work include Medical Image Segmentation Techniques (18 papers), Face and Expression Recognition (14 papers) and Advanced Neural Network Applications (10 papers). Ying Wen is often cited by papers focused on Medical Image Segmentation Techniques (18 papers), Face and Expression Recognition (14 papers) and Advanced Neural Network Applications (10 papers). Ying Wen collaborates with scholars based in China, United States and United Kingdom. Ying Wen's co-authors include Lianghua He, Jiafeng Li, Pengfei Shi, Yue Lu, Karen M. von Deneen, Weinan Zhang, Jun Wang, Kan Ren, Han Cai and Yanru Qu and has published in prestigious journals such as Brain Research, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Ying Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Wen

Since Specialization
Citations

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