Yao Feng

12 papers and 363 indexed citations i.

About

Yao Feng is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Yao Feng has authored 12 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 3 papers in Artificial Intelligence. Recurrent topics in Yao Feng’s work include 3D Shape Modeling and Analysis (4 papers), Face recognition and analysis (3 papers) and Human Motion and Animation (3 papers). Yao Feng is often cited by papers focused on 3D Shape Modeling and Analysis (4 papers), Face recognition and analysis (3 papers) and Human Motion and Animation (3 papers). Yao Feng collaborates with scholars based in China, Germany and Switzerland. Yao Feng's co-authors include Timo Bolkart, Michael J. Black, Haiwen Feng, Dimitrios Tzionas, Vasileios Choutas, Maoxiang Chu, Marc Pollefeys, Yonghui Yang, Jinlong Yang and Rongfen Gong and has published in prestigious journals such as ACM Transactions on Graphics, Chemometrics and Intelligent Laboratory Systems and Future Generation Computer Systems.

In The Last Decade

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

Fields of papers citing papers by Yao Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yao Feng

Since Specialization
Citations

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