Lin Yang

94 papers and 1.7k indexed citations i.

About

Lin Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lin Yang has authored 94 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 49 papers in Artificial Intelligence and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lin Yang’s work include AI in cancer detection (36 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Neural Network Applications (13 papers). Lin Yang is often cited by papers focused on AI in cancer detection (36 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Neural Network Applications (13 papers). Lin Yang collaborates with scholars based in United States, China and Hong Kong. Lin Yang's co-authors include David J. Foran, Peter Meer, Danny Z. Chen, Fuyong Xing, Jonah D. Lee, Jyothi Mula, Janna R. Jackson, John J. McCarthy, Christopher L. Mendias and Christopher S. Fry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Lin Yang i

Fields of papers citing papers by Lin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Yang

Since Specialization
Citations

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