Feng Yang

72 papers and 510 indexed citations i.

About

Feng Yang is a scholar working on Biomedical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Yang has authored 72 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 14 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Yang’s work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (4 papers) and Optical Network Technologies (4 papers). Feng Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (4 papers) and Optical Network Technologies (4 papers). Feng Yang collaborates with scholars based in China, United States and Singapore. Feng Yang's co-authors include Chang’an A. Zhan, Zhiwen Fang, Joey Tianyi Zhou, Jing Huang, Yang Xiao, Yujiao Tang, Yaqin Liu, Peyman Milanfar, Yinxiao Li and Han Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Optics Letters.

In The Last Decade

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

Fields of papers citing papers by Feng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Yang

Since Specialization
Citations

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

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