Tengyu Yin

17 papers and 372 indexed citations i.

About

Tengyu Yin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Tengyu Yin has authored 17 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Computational Theory and Mathematics. Recurrent topics in Tengyu Yin’s work include Text and Document Classification Technologies (12 papers), Rough Sets and Fuzzy Logic (9 papers) and Image Retrieval and Classification Techniques (7 papers). Tengyu Yin is often cited by papers focused on Text and Document Classification Technologies (12 papers), Rough Sets and Fuzzy Logic (9 papers) and Image Retrieval and Classification Techniques (7 papers). Tengyu Yin collaborates with scholars based in China and Taiwan. Tengyu Yin's co-authors include Jiucheng Xu, Weiping Ding, Lin Sun, Yuhua Qian, Tianrui Li, Zhong Yuan, Hongmei Chen, Keyu Liu, Shi–Jinn Horng and Jihong Wan and has published in prestigious journals such as IEEE Access, Information Sciences and Pattern Recognition.

In The Last Decade

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

Fields of papers citing papers by Tengyu Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tengyu Yin

Since Specialization
Citations

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