Jun Feng

24 papers and 284 indexed citations i.

About

Jun Feng is a scholar working on Computer Vision and Pattern Recognition, Geophysics and Media Technology. According to data from OpenAlex, Jun Feng has authored 24 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Geophysics and 5 papers in Media Technology. Recurrent topics in Jun Feng’s work include Image and Signal Denoising Methods (8 papers), Seismic Imaging and Inversion Techniques (6 papers) and Medical Image Segmentation Techniques (4 papers). Jun Feng is often cited by papers focused on Image and Signal Denoising Methods (8 papers), Seismic Imaging and Inversion Techniques (6 papers) and Medical Image Segmentation Techniques (4 papers). Jun Feng collaborates with scholars based in China, United States and Italy. Jun Feng's co-authors include Guoxing Wen, Ning Zhou, C. L. Philip Chen, Bin Zhou, Wei Wei, Peiyi Shen, Hui Chen, Xi Liu, Yuelong Zhu and Shijin Li and has published in prestigious journals such as Earth and Planetary Science Letters, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Jun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Feng

Since Specialization
Citations

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