Pingkun Yan

151 papers and 5.8k indexed citations i.

About

Pingkun Yan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Pingkun Yan has authored 151 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computer Vision and Pattern Recognition, 44 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Artificial Intelligence. Recurrent topics in Pingkun Yan’s work include Medical Image Segmentation Techniques (36 papers), Advanced Neural Network Applications (29 papers) and Radiomics and Machine Learning in Medical Imaging (24 papers). Pingkun Yan is often cited by papers focused on Medical Image Segmentation Techniques (36 papers), Advanced Neural Network Applications (29 papers) and Radiomics and Machine Learning in Medical Imaging (24 papers). Pingkun Yan collaborates with scholars based in United States, China and Canada. Pingkun Yan's co-authors include Xuelong Li, Yuan Yuan, Uwe Krüger, Barış Türkbey, Ge Wang, Xiaoqiang Lu, Mannudeep K. Kalra, Hengyong Yu, Peter L. Choyke and Ling Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Pingkun Yan i

Fields of papers citing papers by Pingkun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pingkun Yan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025