Hao Shen

32 papers and 846 indexed citations i.

About

Hao Shen is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Hao Shen has authored 32 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 9 papers in Signal Processing. Recurrent topics in Hao Shen’s work include Sparse and Compressive Sensing Techniques (10 papers), Blind Source Separation Techniques (9 papers) and Spectroscopy and Chemometric Analyses (5 papers). Hao Shen is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Blind Source Separation Techniques (9 papers) and Spectroscopy and Chemometric Analyses (5 papers). Hao Shen collaborates with scholars based in Germany, China and United States. Hao Shen's co-authors include Johannes Günther, Patrick M. Pilarski, Klaus Diepold, Martin Kleinsteuber, Hongxing Chang, Shuxiao Li, Xian Wei, Qinru Qiu, Yaochun Shen and Arthur Gretton and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Hao Shen i

Fields of papers citing papers by Hao Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hao Shen

Since Specialization
Citations

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