Feng Yu

47 papers and 353 indexed citations i.

About

Feng Yu is a scholar working on Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Feng Yu has authored 47 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Signal Processing, 15 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Feng Yu’s work include Digital Filter Design and Implementation (15 papers), Algorithms and Data Compression (8 papers) and Numerical Methods and Algorithms (7 papers). Feng Yu is often cited by papers focused on Digital Filter Design and Implementation (15 papers), Algorithms and Data Compression (8 papers) and Numerical Methods and Algorithms (7 papers). Feng Yu collaborates with scholars based in China, United States and Singapore. Feng Yu's co-authors include Wei Luo, Tianqi Zhu, Xue Liu, Bingsheng He, Zeke Wang, Yanbin Shen, Yaozhi Luo, Hua‐Ping Wan, Chung‐Bang Yun and Qiang Liu and has published in prestigious journals such as Sensors, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

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

Fields of papers citing papers by Feng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Yu

Since Specialization
Citations

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