Xin Feng

28 papers and 309 indexed citations i.

About

Xin Feng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Xin Feng has authored 28 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Xin Feng’s work include Advanced Image Processing Techniques (7 papers), Image Enhancement Techniques (7 papers) and Advanced Neural Network Applications (5 papers). Xin Feng is often cited by papers focused on Advanced Image Processing Techniques (7 papers), Image Enhancement Techniques (7 papers) and Advanced Neural Network Applications (5 papers). Xin Feng collaborates with scholars based in China, United States and Singapore. Xin Feng's co-authors include Ming Du, Xin Li, Guangming Lu, Wenjie Pei, David Zhang, Yongxin Ge, Dan Yang, Fanglin Chen, Yao Wang and Jiwen Lu and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Xin Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xin Feng

Since Specialization
Citations

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