Fei Yin

90 papers and 2.3k indexed citations i.

About

Fei Yin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Fei Yin has authored 90 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 31 papers in Artificial Intelligence and 15 papers in Media Technology. Recurrent topics in Fei Yin’s work include Handwritten Text Recognition Techniques (51 papers), Natural Language Processing Techniques (20 papers) and Image Retrieval and Classification Techniques (17 papers). Fei Yin is often cited by papers focused on Handwritten Text Recognition Techniques (51 papers), Natural Language Processing Techniques (20 papers) and Image Retrieval and Classification Techniques (17 papers). Fei Yin collaborates with scholars based in China, United Kingdom and France. Fei Yin's co-authors include Cheng‐Lin Liu, Xu-Yao Zhang, Qiufeng Wang, Wenhao He, Da-Han Wang, Hongming Yang, Yan‐Ming Zhang, Yoshua Bengio, Wei Feng and Yichao Wu and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Bioresource Technology.

In The Last Decade

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

Fields of papers citing papers by Fei Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fei Yin

Since Specialization
Citations

This map shows the geographic impact of Fei Yin'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 Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Yin 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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2025