Fei Wen

69 papers and 1.1k indexed citations i.

About

Fei Wen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Fei Wen has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 26 papers in Signal Processing and 18 papers in Computational Mechanics. Recurrent topics in Fei Wen’s work include Speech and Audio Processing (18 papers), Sparse and Compressive Sensing Techniques (13 papers) and Robotics and Sensor-Based Localization (13 papers). Fei Wen is often cited by papers focused on Speech and Audio Processing (18 papers), Sparse and Compressive Sensing Techniques (13 papers) and Robotics and Sensor-Based Localization (13 papers). Fei Wen collaborates with scholars based in China, United States and Hungary. Fei Wen's co-authors include Peilin Liu, Robert C. Qiu, Yipeng Liu, Rendong Ying, Lei Chu, Qun Wan, Wenxian Yu, Ce Zhu, Jiani Liu and Trieu‐Kien Truong and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Fei Wen i

Fields of papers citing papers by Fei Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fei Wen

Since Specialization
Citations

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